PL-300 part 8

You view a query named Transactions as shown in the following exhibit. The query gets CSV files from a folder. there are ____ csv files: - 9 - 10 - 25 - 90 - 1,000 removing duplicates based on the Date column will reduce the dataset to ____ rows: - 9 - 10 - 25 - 90 - 1,000

- 9 - 10

You have a table that contains the following three columns: - City - Total Sales - Occupation You need to create a key influencers visualization as shown in the exhibit. How should you configure the visualization? Analyze: - city - occupation - total sales Explain by: - city - occupation - total sales Expand by: - city - occupation - total sales

Analyze: total sales Explain by: occupation Expand by: city You can use Expand By to add fields you want to use for setting the level of the analysis without looking for new influencers.

The reports must be made available to the board from powerbi.com. A mail-enabled Azure-Active Directory (security)group will be used to share information with the board. How should you distribute the reports to the board? grant access to: - a dynamic distribution list - a mail-enabled azure-active directory group - individual user emails

- a mail-enabled azure-active directory group

Your company has training videos that are published to Microsoft Stream. You need to surface the videos directly in a Microsoft Power BI dashboard. Which type of tile should you add? A. video B. custom streaming data C. text box D. web content

B. custom streaming data The only way to visualize a streaming dataset is to add a tile and use the streaming dataset as a custom streaming data source.

You are building a dataset from a JSON file that contains an array of documents. You need to import attributes as columns from all the documents in the JSON file. The solution must ensure that date attributes can be used as date hierarchies in Microsoft Power BI reports. Which three actions should you perform in sequence? - expand the columns - expand the records - add columns that use data type conversions - set the data types - covert the list to a table

1. expand the records 2. add columns that use data type conversions 3. convert the list to a table

Users must be able to see the month in reports as shown in the following example: Feb 2020. A. FORMAT('Date'[date], "MMM YYYY") B. FORMAT('Date' [date], "M YY") C. FORMAT('Date'[date_id], "MMM") & "" & FORMAT('Date'[year], "#") D. FORMAT('Date' [date_id], "MMM YYYY")

A. FORMAT('Date'[date], "MMM YYYY")

You have several reports and dashboards in a workspace. You need to grant all organizational users read access to a dashboard and several reports. Solution: You assign all the users the Viewer role to the workspace. Does this meet the goal? Yes No

Yes The Viewer role gives a read-only experience to its users. They can view dashboards, reports, or workbooks in the workspace, but can't browse the datasets or dataflows. Use the Viewer role wherever you would previously use a classic workspace set to "Members can only view Power BI content".

You need to grant access to the business unit analysts. What should you configure? permissions required in powerbi.com: - access permissions to an app - the member role to the workspace - the viewer role to the workspace permissions for the profit and loss dataset: - build - delete - reshare

permissions required in powerbi.com: the viewer role to the workspace permissions for the profit and loss dataset: build The Viewer role gives a read-only experience to its users. They can view dashboards, reports, or workbooks in the workspace, but can't browse the datasets or dataflows. Use the Viewer role wherever you would previously use a classic workspace set to "Members can only view Power BI content". The analysts must be able to build new reports from the dataset that contains the profit and loss data.

You have a Microsoft Power BI workspace. You need to grant the user capabilities shown in the following table. The solution must use the principle of least privilege. Which user role should you assign to each user? user1: create and publish apps user2: publish reports to the workspace and delete dashboards roles: - admin - contributor - member - viewer

user1: member user 2: contributor

You have the dataset shown in the following exhibit. You need to ensure that the visual shows only the 10 cities that have the highest sales profit. What should you do? - Add a Top N filter to the visual. - Configure the Sales Profit measure to use the RANKX function. - Add a calculated column to the table that uses the TOPN function. In the visual, replace Sales Profit with the calculated column. - Add a calculated column to the table that returns the city name if the city is in the top 10, otherwise the calculated column will return "Not in Top 10". In the visual, replace Sales Profit with the calculated column.

- Add a Top N filter to the visual. Power BI Top N Filters are useful to display the top performing records, and Bottom N filters are helpful to display the least performing records. For example, we can display top or bottom 10 products by orders or sales.

You have the visual shown in the exhibit. You need to show the relationship between Total Cost and Total Sales over time. What should you do? - Add a slicer for the year. - Create a DAX measure that calculates year-over-year growth. - Add a play axis. - From the Analytics pane, add an Average line.

- Add a play axis. You can set up a date field in play axis, and then scatter chart will animate how measure values are compared to each other in each point of a time.

You have a line chart that shows the number of employees in a department over time. You need to see the total salary costs of the employees when you hover over a data point. What are two possible ways to achieve this goal? - Add a salary to the tooltips. - Add a salary to the visual filters. - Add salary to the drillthrough fields.

- Add a salary to the tooltips. - Add a salary to the visual filters. (This question currently requires two answers. Answer A is 100% correct. Answer B is not correct but it is the next best answer. Should this question should only require one answer, Answer A.) When a visualization is created, the default tooltip displays the data point's value and category. There are many instances when customizing the tooltip information is useful. Customizing tooltips provides additional context and information for users viewing the visual. Custom tooltips enable you to specify additional data points that display as part of the tooltip. Visual Filter applies to a single visual/tile on a report page. You can only see visual level filters selected visual on the report canvas.

You are configuring a Microsoft Power BI data model to enable users to ask natural language questions by using Q&A. You have a table named Customer that has the following measure. Customer Count = DISTINCTCOUNT(Customer[CustomerID]) Users frequently refer to customers as subscribers. You need to ensure that the users can get a useful result for "subscriber count" by using Q&A. The solution must minimize the size of the model. What should you do? - Add a synonym of "subscriber count" to the Customer Count measure - Add a calculated table named Subscriber that is a duplicate of the Customer table. - Add a description of "Subscriber" to the Customer table. - Add a description of "subscriber count" to the Customer Count measure.

- Add a synonym of "subscriber count" to the Customer Count measure This step applies specifically to Q&A (and not to Power BI reports in general). Users often have a variety of terms they use to refer to the same thing, such as total sales, net sales, total net sales. You can add these synonyms to tables and columns in the Power BI model.

You have a Q&A visual that displays information from a table named Carriers as shown in the following exhibit. You need to ensure that users can ask questions by using the term airline or carrier. The solution must minimize changes to the data model. What should you do? - Add a duplicate query named Airline. - Add airline as a synonym of carrier. - Rename the carrier column as airline in the Carriers query. - Rename the query from Carriers to airlines.

- Add airline as a synonym of carrier. Add synonyms to tables and columns: This step applies specifically to Q&A (and not to Power BI reports in general). Users often have a variety of terms they use to refer to the same thing, such as total sales, net sales, total net sales. You can add these synonyms to tables and columns in the Power BI model. This step can be important. Even with straightforward table and column names, users of Q&A ask questions using the vocabulary that first comes to them. They're not choosing from a predefined list of columns. The more sensible synonyms you add, the better your users' experience is with your report.

You have a report that contains three pages. One of the pages contains a KPI visualization. You need to filter all the visualizations in the report except for the KPI visualization. Which two actions should you perform? - Configure a report-level filter. - Edit the interactions of the KPI visualization. - Configure a page-level filter. - Add the same slicer to each page and configure Sync slicers. - Edit the interactions of the slicer that is on the same pages as the KPI visualization.

- Add the same slicer to each page and configure Sync slicers. - Edit the interactions of the slicer that is on the same pages as the KPI visualization. Slicers are another way of filtering. They narrow the portion of the dataset that is shown in the other report visualizations. By default, slicers on report pages affect all the other visualizations on that page, including each other. Use visual interactions to exclude some page visualizations from being affected by others. Incorrect answers: Report filter applies to all pages in the report. Page filter applies to all the visuals on the report page.

You have a Power BI report. The report contains visualizations that have interactions. You need to identify which visualizations take the longest to complete. What should you use? - Query Diagnostics in Power BI - Performance Analyzer in Power BI Desktop - SQL Server Profiler - Microsoft Edge DevTools

- Performance Analyzer in Power BI Desktop In Power BI Desktop you can find out how each of your report elements, such as visuals and DAX formulas, are performing. Using the Performance Analyzer, you can see and record logs that measure how each of your report elements performs when users interact with them, and which aspects of their performance are most (or least) resource intensive.

Your company has employees in 10 states. The company recently decided to associate each state to one of the following three regions: East, West, and North. You have a data model that contains employee information by state. The model does NOT include region information. You have a report that shows the employees by state. You need to view the employees by region as quickly as possible. What should you do? - Create a new aggregation that summarizes by employee. - Create a new group on the state column and set the Group type to List. - Create a new group on the state column and set the Group type to Bin. - Create a new aggregation that summarizes by state.

- Create a new group on the state column and set the Group type to List. With grouping you are normally working with dimensional attributes. Here we add three new groups (East, West, and North) and add each state to the appropriate group.

Your company plans to completely separate development and production assets such as datasets, reports, and dashboards in Microsoft Power BI. You need to recommend an application lifecycle strategy. The solution must minimize access to production assets and prevent end users from viewing the development assets. What should you recommend? - Create production reports in a separate workspace that uses a shared dataset from the development workspace. Grant the end users access to the production workspace. - Create one workspace for development. From the new workspace, publish an app for production. - Create a workspace for development and a workspace for production. From the production workspace, publish an app. - In one workspace, create separate copies of the assets and append DEV to the names of the copied assets. Grant the end users access to the workspace.

- Create a workspace for development and a workspace for production. From the production workspace, publish an app. Use different work stages (Development, Test, and Production). Deploy from the Development workspace.

You publish a Microsoft Power BI dataset to powerbi.com. The dataset appends data from an on-premises Oracle database and an Azure SQL database by using one query. You have admin access to the workspace and permission to use an existing On-premises data gateway for which the Oracle data source is already configured. You need to ensure that the data is updated every morning. The solution must minimize configuration effort. Which two actions should you perform when you configure scheduled refresh? - Configure the dataset to use the existing On-premises data gateway. - Deploy an On-premises data gateway in personal mode. - Set the refresh frequency to Daily. - Configure the dataset to use the personal gateway.

- Deploy an On-premises data gateway in personal mode. - Set the refresh frequency to Daily. The on-premises data gateway acts as a bridge to provide quick and secure data transfer between on-premises data (data that isn't in the cloud) and several Microsoft cloud services. These cloud services include Power BI. On-premises data gateway (personal mode) allows one user to connect to sources, and can't be shared with others. An on-premises data gateway (personal mode) can be used only with Power BI. This gateway is well-suited to scenarios where you're the only person who creates reports, and you don't need to share any data sources with others. For Power BI users, refreshing data typically means importing data from the original data sources into a dataset, either based on a refresh schedule or on-demand. You can perform multiple dataset refreshes daily, which might be necessary if the underlying source data changes frequently.

You need to provide a user with the ability to add members to a workspace. The solution must use the principle of least privilege. Which role should you assign to the user? - Viewer - Contributor - Member - Admin

- Member A Member can add members or others with lower permissions.

You have multiple dashboards. You need to ensure that when users browse the available dashboards from powerbi.com, they can see which dashboards contain Personally Identifiable Information (PII). The solution must minimize configuration effort and impact on the dashboard design. What should you use? - comments - tiles - Microsoft Information Protection sensitivity labels - Active Directory groups

- Microsoft Information Protection sensitivity labels Microsoft Information Protection sensitivity labels provide a simple way for your users to classify critical content in Power BI without compromising productivity or the ability to collaborate. Sensitivity labels can be applied to datasets, reports, dashboards, and dataflows.

You have a collection of reports for the HR department of your company. The datasets use row-level security (RLS). The company has multiple sales regions that each has an HR manager. You need to ensure that the HR managers can interact with the data from their region only. The HR managers must be prevented from changing the layout of the reports. How should you provision access to the reports for the HR managers? - Publish the reports to a different workspace other than the one hosting the datasets. - Publish the reports in an app and grant the HR managers access permission. - Add the HR managers as members of the existing workspace that hosts the reports and the datasets. - Create a new workspace, copy the datasets and reports, and add the HR managers as members of the workspace.

- Publish the reports to a different workspace other than the one hosting the datasets. Row-level security (RLS) with Power BI can be used to restrict data access for given users. Filters restrict data access at the row level, and you can define filters within roles. In the Power BI service, members of a workspace have access to datasets in the workspace. RLS doesn't restrict this data access.

You create a dataset sourced from dozens of flat files in Azure Blob storage. The dataset uses incremental refresh. From powerbi.com, you deploy the dataset and several related reports to Microsoft Power BI Premium capacity. You discover that the dataset refresh fails after the refresh runs out of resources. What is a possible cause of the issue? - Query folding is not occurring. - You selected Only refresh complete periods. - The data type of the column used to partition the data changed. - A filter is missing on the report.

- Query folding is not occurring. The Power BI service partitions data based on date range. This is what enables only certain partitions to be refreshed incrementally. To make this work, the partition filter conditions are pushed down to the source system by including them in the queries. Using Power Query terminology, this is called "query folding". It is not recommended that incremental refresh is used when the required query folding cannot take place.

You use an R visual to produce a map of 500,000 customers. You include the values of CustomerID, Latitude, and Longitude in the fields sent to the visual. Each customer ID is unique. In powerbi.com, when users load the visual, they only see some of the customers. What is the cause of the issue? - The visual was built by using a different version of R. - The data comes from a Microsoft SQL Server source. - The data is deduplicated. - Too many records were sent to the visual.

- Too many records were sent to the visual. R visuals in the Power BI service have a few limitations including data size limitations - data used by the R visual for plotting is limited to 150,000 rows. If more than 150,000 rows are selected, only the top 150,000 rows are used and a message is displayed on the image. Additionally, the input data has a limit of 250 MB.

You create a report by using Microsoft Power BI Desktop. The report uses data from a Microsoft SQL Server Analysis Services (SSAS) cube located on your company's internal network. You plan to publish the report to the Power BI Service. What should you implement to ensure that users who consume the report from the Power BI Service have the most up-to-date data from the cube? - a subscription - a scheduled refresh of the dataset - an OData feed - an On-premises data gateway

- an On-premises data gateway When you've created dynamic reports in Power BI Desktop, you can share them by publishing to your Power BI site. When you publish a Power BI Desktop file with a live connection to a tabular model to your Power BI site, an on-premises data gateway must be installed and configured by an administrator.

You have a report that contains a bar chart and a column chart. The bar chart shows customer count by customer segment. The column chart shows sales by month. You need to ensure that when a segment is selected in the bar chart, you see which portion of the total sales for the month belongs to the customer segment. How should the visual interactions be set on the column chart when the bar chart is selected? - no impact - highlight - filter

- filter Filters remove all but the data you want to focus on. Highlighting isn't filtering. It doesn't remove data, but instead highlights a subset of the visible data; the data that isn't highlighted remains visible but dimmed.

You are building a Power BI report to analyze customer segments. You need to identify customer segments dynamically based on the Bounce Rate across dimensions such as source, geography, and demographics. The solution must minimize analysis effort. Which type of visualization should you use? - funnel chart - key influencers - Q&A - decomposition tree

- key influencers The key influencers visual is a great choice if you want to: - See which factors affect the metric being analyzed. - Contrast the relative importance of these factors. For example, do short-term contracts affect churn more than long-term contracts? The key influencers visual helps you understand the factors that drive a metric you're interested in. It analyzes your data, ranks the factors that matter, and displays them as key influencers.

You have a dataset named Pens that contains the following columns: - Unit Price - Quantity Ordered You need to create a visualization that shows the relationship between Unit Price and Quantity Ordered. The solution must highlight orders that have a similar unit price and ordered quantity. Which type of visualization and which feature should you use? visualization: - column chart of Quantity Ordered and Unit Price per year - line chart of Quantity Ordered and Unit Price by item - scatter plot of Quantity Ordered and Unit Price by item feature: - automatically find clusters - explain the decrease - find where the distribution is different

- scatter plot of Quantity Ordered and Unit Price by item - automatically find clusters A scatter chart always has two value axes to show: one set of numerical data along a horizontal axis and another set of numerical values along a vertical axis. The chart displays points at the intersection of an x and y numerical value, combining these values into single data points. Power BI may distribute these data points evenly or unevenly across the horizontal axis. It depends on the data the chart represents. Scatter charts are a great choice to show patterns in large sets of data, for example by showing linear or non-linear trends, clusters, and outliers.

You have a Power BI tenant. You have reports that use financial datasets and are exported as PDF files. You need to ensure that the reports are encrypted. What should you implement? - dataset certifications - row-level security (RLS) - sensitivity labels - Microsoft Intune policies

- sensitivity labels Microsoft Information Protection sensitivity labels provide a simple way for your users to classify critical content in Power BI without compromising productivity or the ability to collaborate. Sensitivity labels can be applied on datasets, reports, dashboards, and dataflows. When data is exported from Power BI to Excel, PowerPoint or PDF files, Power BI automatically applies a sensitivity label on the exported file and protects it according to the label's file encryption settings. This way your sensitive data remains protected no matter where it is.

The company wants to provide a single package of reports to the board that contains custom navigation and links to supplementary information. How should you distribute the reports to the board? grant access by: - sharing individual reports - using a workspace membership - using an app

- using an app

You have the line chart shown in the exhibit. You need to modify the chart to meet the following requirements: - Identify months that have order counts above the mean. - Display the mean monthly order count. Which three actions should you perform in sequence? - create a 12-month rolling average quick measure and add the measure to the line chart value - from the analytics pane, add a median line - select the line chart - from the analytics pane add an average line - turn on data labels for the new line

1. create a 12-month rolling average quick measure and add the measure to the line chart value 2. select the line chart 3. from the analytics pane, add a median line

You have a query named Customer that imports CSV files from a data lake. The query contains 50,000 rows as shown in the exhibit. Each file contains deltas of any new or modified rows from each load to the data lake. Multiple files can have the same customer ID. You need to keep only the last modified row for each customer ID. Which three actions should you perform in sequence? - filter the customer query on modified date is latest - merge the CustomerGrouped query into the Customer query based on Customer ID and Modified Date by using a left outer join - remove duplicates in the Customer ID column - duplicate the Customer query and name the new query CustomerGrouped - group the CustomerGrouped query by Customer ID and output the max Modified Date value into a column named Modified Date - merge the 2 queries based on Customer ID and Modified Date by using an inner join

1. duplicate the Customer query and name the new query CustomerGrouped 2. group the CustomerGrouped query by Customer ID and output the max Modified Date value into a column named Modified Date 3. remove duplicates in the Customer ID column

You are creating a Microsoft Power BI imported data model to perform basket analysis. The goal of the analysis is to identify which products are usually bought together in the same transaction across and within sales territories. You import a fact table named Sales as shown in the exhibit. The related dimension tables are imported into the model. Sales contains the data shown in the following table. The related dimension tables are imported into the model. Sales contains the data shown in the following table. For each of the following statements, select Yes if the statement is true. Otherwise, select No. The TaxAmt column must retain the current number of decimal places to perform the basket analysis - yes - no

No

You have several reports and dashboards in a workspace. You need to grant all organizational users read access to a dashboard and several reports. Solution: You enable included in app for all assets. Does this meet the goal? Yes No

No

You have several reports and dashboards in a workspace. You need to grant all organizational users read access to a dashboard and several reports. Solution: You create an Azure Active Directory group that contains all the users. You share each report and dashboard to the group. Does this meet the goal? Yes No

No Instead assign all the users the Viewer role to the workspace. The Viewer role gives a read-only experience to its users. They can view dashboards, reports, or workbooks in the workspace, but can't browse the datasets or dataflows. Use the Viewer role wherever you would previously use a classic workspace set to "Members can only view Power BI content".

You have several reports and dashboards in a workspace. You need to grant all organizational users read access to a dashboard and several reports. Solution: You publish an app to the entire organization. Does this meet the goal? Yes No

No Instead assign all the users the Viewer role to the workspace. The Viewer role gives a read-only experience to its users. They can view dashboards, reports, or workbooks in the workspace, but can't browse the datasets or dataflows. Use the Viewer role wherever you would previously use a classic workspace set to "Members can only view Power BI content".

You are enhancing a Power BI model that has DAX calculations. You need to create a measure that returns the year-to-date total sales from the same date of the previous calendar year. Which DAX functions should you use? dropdown 1: - CALCULATE - DATESBETWEEN - SAMEPERIODLASTYEAR - SLIM dropdown 2: - CALCULATE - DATESBETWEEN - SAMEPERIODLASTYEAR - SLIM

dropdown 1: CALCULATE dropdown 2: DATESBETWEEN

You are creating a Microsoft Power BI imported data model to perform basket analysis. The goal of the analysis is to identify which products are usually bought together in the same transaction across and within sales territories. You import a fact table named Sales as shown in the exhibit. The related dimension tables are imported into the model. Sales contains the data shown in the following table. The related dimension tables are imported into the model. Sales contains the data shown in the following table. For each of the following statements, select Yes if the statement is true. Otherwise, select No. Both the OrderDateKey and OrderDate columns are necessary to perform the basket analysis. - yes - no

yes

You are creating a Microsoft Power BI imported data model to perform basket analysis. The goal of the analysis is to identify which products are usually bought together in the same transaction across and within sales territories. You import a fact table named Sales as shown in the exhibit. The related dimension tables are imported into the model. Sales contains the data shown in the following table. The related dimension tables are imported into the model. Sales contains the data shown in the following table. For each of the following statements, select Yes if the statement is true. Otherwise, select No. The SalesRowID and AuditID columns can be removed from the model without impeding the analysis goals - yes - no

yes

You create a dashboard by using the Microsoft Power BI Service. The dashboard contains a card visual that shows total sales from the current year. You grant users access to the dashboard by using the Viewer role on the workspace. A user wants to receive daily notifications of the number shown on the card visual. You need to automate the notifications. What should you do? - Create a data alert. - Share the dashboard to the user. - Create a subscription. - Tag the user in a comment.

- Create a subscription. You can subscribe yourself and your colleagues to the report pages, dashboards, and paginated reports that matter most to you. Power BI e-mail subscriptions allow you to: - Decide how often you want to receive the emails: daily, weekly, hourly, monthly, or once a day after the initial data refresh. - Choose the time you want to receive the email, if you choose daily, weekly, hourly, or monthly.

You have a Microsoft Power BI report. The size of PBIX file is 550 MB. The report is accessed by using an App workspace in shared capacity of powerbi.com. The report uses an imported dataset that contains one fact table. The fact table contains 12 million rows. The dataset is scheduled to refresh twice a day at 08:00 and 17:00. The report is a single page that contains 15 App Source visuals and 10 default visuals. Users say that the report is slow to load the visuals when they access and interact with the report. You need to recommend a solution to improve the performance of the report. What should you recommend? A. Increase the number of times that the dataset is refreshed. B. Split the visuals onto multiple pages. C. Change the imported dataset to Direct Query. D. Implement row-level security (RLS).

C. Change the imported dataset to Direct Query. Benefits of using Direct Query: - Direct Query lets you build visualizations over very large datasets, where it would otherwise be unfeasible to first import all the data with pre-aggregation. - Underlying data changes can require a refresh of data. For some reports, the need to display current data can require large data transfers, making reimporting data unfeasible. By contrast, Direct Query reports always use current data.

You are concerned with the quality and completeness of the sales data. You plan to verify the sales data for negative sales amounts. You need to review the data for which there are concerns before creating the data model. What should you do in Power Query Editor? A. Transform the sales_amount column to replace negative values with 0. B. Select Column distribution. C. Select the sales_amount column and apply a number filter. D. Select Column profile , and then select the sales_amount column.

D. Select Column profile , and then select the sales_amount column. The Column profile feature provides a more in-depth look at the data in a column. It contains a column statistics chart that displays Count, Error, Empty, Distinct, Unique, Empty String, Min, & Max of the selected column.

selecting a data point on the tailspin toys line on the line chart will ___ the map. - cross filter - cross highlight - not affect

cross=filter The map has the cross-filter icon highlighted, thus selecting data points on the line graph will be cross filtered onto the map.

selecting a quarter on the line chart will ___ the clustered column chart. - cross filter - cross highlight - not affect

not affect The column chart has the no impact icon highlighted, thus selecting data points on the line graph will have no affect on the column chart.

You plan to create the chart shown in the following exhibit. How should you create the dashed horizontal line denoting the 40th percentile of daily sales for the period shown? - add a measure to the visual that uses the following DAX expression: Measure1 = PERCENTILEX.INC (Sales,Sales[Total Sales],0.40) - Add a new percentile line that uses Total Sales as the measure and 40% as the percentile. - Create a horizontal line that has a fixed value of 24,000. - Add a measure to the visual that uses the following DAX expression: Measure1 = PERCENTILEX.EXC (Sales,Sales[Total Sales],0.40)

- Add a new percentile line that uses Total Sales as the measure and 40% as the percentile. The analytics feature enables you to show percentiles across groups specified along a specific axis. PERCENTILE.EXC(column, kth percentile)PERCENTILE.INC(column, kth percentile) The first parameter is the column which you want the percentile value for. The second parameter is the kth percentile where k percentage of values will fall below. Both formulas use a slightly different algorithm. The second algorithm works for any value of k between 0 and 1 (the 0th and 100th percentile). In the EXC version the data excludes both lower and upper bounds, while INC includes them.

You are configuring a Microsoft Power BI data model to enable users to ask natural language questions by using Q&A. You have a table named Customer that has the following measure. Customer Count = DISTINCTCOUNT(Customer[CustomerID]) Users frequently refer to customers as subscribers. You need to ensure that the users can get a useful result for "subscriber count" by using Q&A. The solution must minimize the size of the model. What should you do? - Set Summarize By to None for the CustomerID column. - Add a synonym of "subscriber" to the Customer table. - Add a synonym of "subscriberID" to the CustomerID column. - Add a description of "subscriber count" to the Customer Count measure.

- Add a synonym of "subscriber" to the Customer table

You have the data lineage shown in the following exhibit. The CONTOSO dataset is consumed directly by the: - CONTOSO BIKES report - CONTOSO dashboard - realtime dashboard The Realtime dashboard depends on - 1 dataset - 2 datasets - 3 datasets - 4 datasets

- CONTOSO BIKES report - 3 datasets (Images, tweets and the Contoso datasets)

Executives require a visual that shows sales by region. You need to create the required relationship for the executive's visual. What should you do before you can create the relationship? - Change the data type of Sales[region_id] to Whole Number. - Change the data type of Sales[region_id] to Decimal Number. - Change the data type of Sales[sales_id] to Text. - In the Sales table, add a measure for Sum(sales_amount).

- Change the data type of Sales[region_id] to Whole Number.

You have a dashboard that contains tiles pinned from a single report as shown in the Original Dashboard exhibit. You need to modify the dashboard to appear as shown in the Modified Dashboard exhibit. What should you do? - Edit the details of each tile. - Change the report theme. - Change the dashboard theme. - Create a custom CSS file.

- Change the report theme. With Power BI Desktop report themes, you can apply design changes to your entire report, such as using corporate colors, changing icon sets, or applying new default visual formatting. When you apply a report theme, all visuals in your report use the colors and formatting from your selected theme as their defaults.

You are reviewing a query that produces 10,000 rows in the Power Query Editor. You need to identify whether a column contains only unique values. Which two Data Preview options can you use? - Column profile - Column distribution - Show whitespace - Column quality - Monospaced

- Column profile - Column distribution Column profile: This feature provides a more in-depth look at the data in a column (compared to column distribution). Apart from the column distribution chart, it contains a column statistics chart. Column distribution: This feature provides a set of visuals underneath the names of the columns that showcase the frequency and distribution of the values in each of the columns. The data in these visualizations is sorted in descending order from the value with the highest frequency. By hovering over the distribution data in any of the columns, you get information about the overall data in the column (with distinct count and unique values).

You have a Microsoft Power BI dashboard. You need to ensure that consumers of the dashboard can give you feedback that will be visible to the other consumers of the dashboard. What should you use? - Mark as favorite - Feedback - Comments - Subscribe

- Comments You can add a personal comment or start a conversation about a dashboard or report with your colleagues. The comment feature is just one of the ways a business user can collaborate with others.

You are developing a sales report that will have multiple pages. Each page will answer a different business question. You plan to have a menu page that will show all the business questions. You need to ensure that users can click each business question and be directed to the page where the question is answered. The solution must ensure that the menu page will work when deployed to any workspace. What should you include on the menu page? - Create a text box for each business question and insert a link. - Create a button for each business question and set the action type to Page Navigation. - Create a Power Apps visual that contains a drop-down list. The drop-down list will contain the business questions.

- Create a button for each business question and set the action type to Page Navigation. Most apps contain multiple screens. Use the Back and Navigate function to change which screen is displayed. For example, set the OnSelect property of a button to a formula that includes a Navigate function if you want to show a different screen when a user selects that button.

The region_id column can be managed by only one sales manager. You need to provide a solution to provide the sales managers with the required access. What should you include in the solution? - Create a security role that has a table filter on the Sales_Manager table whereusername = UserName(). - Create a security role that has a table filter on the Region_Manager table wheresales_manager_id = UserPrincipalName(). - Create a security role that has a table filter on the Sales_Manager table wherename = UserName(). - Create a security role that has a table filter on the Sales_Manager table whereusername = sales_manager_id.

- Create a security role that has a table filter on the Sales_Manager table whereusername = UserName().

In Power BI Desktop, you are building a sales report that contains two tables. Both tables have row-level security (RLS) configured. You need to create a relationship between the tables. The solution must ensure that bidirectional cross-filtering honors the RLS settings. What should you do? - Create an active relationship between the tables and select Assume referential integrity. - Create an inactive relationship between the tables and select Assume referential integrity. - Create an inactive relationship between the tables and select Apply security filter in both directions. - Create an active relationship between the tables and select Apply security filter in both directions.

- Create an active relationship between the tables and select Apply security filter in both directions. By default, row-level security filtering uses single-directional filters, whether the relationships are set to single direction or bi-directional. You can manually enable bi-directional cross-filtering with row-level security by selecting the relationship and checking the Apply security filter in both directions checkbox. Select this option when you've also implemented dynamic row-level security at the server level, where row-level security is based on username or login ID.

You have a Power BI dataset that contains a table named Temperature Readings. The table has 12 million rows. All the columns are needed for analysis. You need to optimize the dataset to decrease the model size. The solution must not affect the precision of the data. What should you do? - Split the DateTime column into separate date and time columns. - Change the data type of the DateTime column to Date. - Change the data type of the Latitude column to Fixed Decimal. - Disable the Power Query load.

- Disable the Power Query load. Power Query queries that are intended support data integration with other queries should not be loaded to the model. To avoid loading the query to the model, take care to ensure that you disable query load in these instances.

You have a Microsoft SharePoint Online site that contain several document libraries. One of the document libraries contains manufacturing reports saved as Microsoft Excel files. All the manufacturing reports have the same data structure. You need to use Power BI Desktop to load only the manufacturing reports to a table for analysis. What should you do? - Get data from a SharePoint folder, enter the site URL, and then select Combine & Load. - Get data from a SharePoint list and enter the site URL. Select Combine & Transform, then filter by the folder path to the manufacturing reports library. - Get data from a SharePoint folder and enter the site URL. Select Combine & Transform, then filter by the folder path to the manufacturing reports library. - Get data from a SharePoint list, enter the site URL, and then select Combine & Load.

- Get data from a SharePoint folder and enter the site URL. Select Combine & Transform, then filter by the folder path to the manufacturing reports library.

You have sales data in a star schema that contains four tables named Sales, Customer, Date, and Product. The Sales table contains purchase and ship dates. Most often, you will use the purchase date to analyze the data, but you will analyze the data by both dates independently and together. You need to design an imported dataset to support the analysis. The solution must minimize the model size and the number of queries against the data source. Which data modeling design should you use? - Use the Auto Date/Time functionality in Microsoft Power BI and do NOT import the Date table. - Duplicate the Date query in Power Query and create active relationships between Sales and both Date tables in the modeling view. - On the Date table, use a reference query in Power Query and create active relationships between Sales and both Date tables in the modeling view. - Import the Date table twice in Power Query and create active relationships between Sales and both Date tables in the modeling view.

- Import the Date table twice in Power Query and create active relationships between Sales and both Date tables in the modeling view. Microsoft recommends defining active relationships whenever possible. They widen the scope and potential of how your model can be used by report authors, and users working with Q&A. Only one relationship can be active.

Regional managers require a visual to analyze weekly sales and returns. You need to create a relationship between the Weekly_Returns table and the Date table to meet the reporting requirements of the regional managers. What should you do? - Add the Weekly_Returns data to the Sales table by using RELATED DAX functions. - In the Weekly_Returns table, create a new calculated column named date_id in a format of yyyymmdd and use the calculated column to create a relationship to the Date table. - Create a new table based on the Date table where date_id is unique, and then create a many-to-many relationship to Weekly_Return.

- In the Weekly_Returns table, create a new calculated column named date_id in a format of yyyymmdd and use the calculated column to create a relationship to the Date table. To relate the two tables we need a common column.

You build a report to help the sales team understand its performance and the drivers of sales. The team needs to have a single visualization to identify which factors affect success. Which type of visualization should you use? - Line and clustered column chart - Key influencers - Q&A - Funnel chart

- Key influencers The key influencers visual helps you understand the factors that drive a metric you're interested in. It analyzes your data, ranks the factors that matter, and displays them as key influencers. The key influencers visual is a great choice if you want to: - See which factors affect the metric being analyzed. - Contrast the relative importance of these factors. For example, do short-term contracts have more impact on churn than long-term contracts?

You create a parameter named Data Source Excel that holds the file name and location of a Microsoft Excel data source. You need to update the query to reference the parameter instead of multiple hard-coded copies of the location within each query definition. Solution: In the Power Query M code, you replace references to the Excel file with Data Source Excel. Does this meet the goal? - Yes - No

- No Instead modify the source step of the queries to use Data Source Excel as the file path.

You create a parameter named Data Source Excel that holds the file name and location of a Microsoft Excel data source. You need to update the query to reference the parameter instead of multiple hard-coded copies of the location within each query definition. Solution: You create a new query that references Data Source Excel. Does this meet the goal? - Yes - No

- No Instead modify the source step of the queries to use Data Source Excel as the file path.

You are modeling data by using Microsoft Power BI. Part of the data model is a large Microsoft SQL Server table named Order that has more than 100 million records. During the development process, you need to import a sample of the data from the Order table. Solution: From Power Query Editor, you import the table and then add a filter step to the query. Does this meet the goal? - Yes - No

- No The filter is applied after the data is imported. Instead add a WHERE clause to the SQL statement.

You create a parameter named Data Source Excel that holds the file name and location of a Microsoft Excel data source. You need to update the query to reference the parameter instead of multiple hard-coded copies of the location within each query definition. Solution: You write a DAX expression that uses the FILTER function. Does this meet the goal? - Yes - No

- No The filter is applied after the data is imported. Instead add a WHERE clause to the SQL statement.

model is a large Microsoft SQL Server table named Order that has more than 100 million records. During the development process, you need to import a sample of the data from the Order table. Solution: You add a report-level filter that filters based on the order date. Does this meet the goal? - Yes - No

- No The filter is applied after the data is imported. Instead add a WHERE clause to the SQL statement.

You have a custom connector that returns ID, From, To, Subject, Body, and Has Attachments for every email sent during the past year. More than 10 million records are returned. You build a report analyzing the internal networks of employees based on whom they send emails to. You need to prevent report recipients from reading the analyzed emails. The solution must minimize the model size. What should you do? - Implement row-level security (RLS) so that the report recipients can only see results based on the emails they sent. - Remove the Subject and Body columns during the import. - From Model view, set the Subject and Body columns to Hidden.

- Remove the Subject and Body columns during the import. only option that reduces the size of model

You have a report that contains four pages. Each page contains slicers for the same four fields. Users report that when they select values in a slicer on one page, the selections are not persisted on other pages. You need to recommend a solution to ensure that users can select a value once to filter the results on all the pages. What are two possible recommendations to achieve this goal? - Replace the slicers with report-level filters. - Sync the slicers across the pages. - Create a bookmark for each slicer value. - Replace the slicers with page-level filters. - Replace the slicers with visual-level filters.

- Replace the slicers with report-level filters. - Sync the slicers across the pages.

You have four sales regions. Each region has multiple sales managers. You implement row-level security (RLS) in a data model. You assign the relevant mail-enabled security group to each role. You have sales reports that enable analysis by region. The sales managers can view the sales records of their region. The sales managers are prevented from viewing records from other regions. A sales manager changes to a different region. You need to ensure that the sales manager can see the correct sales data. What should you do? - Change the Microsoft Power BI license type of the sales manager. - From Microsoft Power BI Desktop, edit the Row-Level Security setting for the reports. - Request that the sales manager be added to the correct Azure Active Directory group. - Manage the permissions of the underlying dataset.

- Request that the sales manager be added to the correct Azure Active Directory group. Using AD Security Groups, you no longer need to maintain a long list of users. All that you will need to do is to put in the AD Security group with the required permissions and Power BI will do the REST! This means a small and simple security file with the permissions and AD Security group. Once published to Power BI, you must map members to dataset roles. Members can be user accounts or security groups. Whenever possible, we recommend you map security groups to dataset roles. It involves managing security group memberships in Azure Active Directory. Possibly, it delegates the task to your network administrators.

You have a Power BI report. You need to create a calculated table to return the 100 highest spending customers. How should you complete the DAX expression? options for all 3 boxes: - ASC - DESC - FILTER - SUMMARIZE - TOPN

- TOPN (TOPN returns the top N rows of the specified table) - SUMMARIZE (SUMMARIZE returns a summary table for the requested totals over a set of groups) - DESC

You have a Microsoft Power BI dashboard. The report used to create the dashboard uses an imported dataset from a Microsoft SQL Server data source. What occurred at 12:03:06 PM? - The dashboard tile cache refreshed. - A new transaction was added to the data source. - A user pressed F5. - A user added a comment to a tile.

- The dashboard tile cache refreshed.

You have a Microsoft Power BI data model that contains three tables named Orders, Date, and City. There is a one-to-many relationship between Date and Orders and between City and Orders. The model contains two row-level security (RLS) roles named Role1 and Role2. Role1 contains the following filter: City[State Province] = "Kentucky" Role2 contains the following filter: Date[Calendar Year] = 2020 If a user is a member of both Role1 and Role2, what data will they see in a report that uses the model? - The user will see data for which the State Province value is Kentucky and the Calendar Year is 2020. - The user will see data for which the State Province value is Kentucky or the Calendar Year is 2020. - The user will see only data for which the State Province value is Kentucky. - The user will receive an error and will not be able to see the data in the report.

- The user will see data for which the State Province value is Kentucky or the Calendar Year is 2020. When a report user is assigned to multiple roles, RLS filters become additive. It means report users can see table rows that represent the union of those filters.

You are creating a visual to show the ranking of product categories by sales revenue. Your company's security policy states that you cannot send data outside of your Microsoft Power BI tenant. Which approach provides the widest variety of visuals while adhering to the security policy? - Use default or certified AppSource visuals. - Use only default visuals. - Use default visuals or visuals uploaded from a .pbiviz file. - Use default or any AppSource visuals from the marketplace.

- Use default or certified AppSource visuals.

You have files sales regions. Each region is assigned a single salesperson. You have an imported dataset that has a dynamic row-level security (RLS) role named Sales. The Sales role filters sales transaction data by salesperson. Salespeople must see only the data from their region. You publish the dataset to powerbi.com, set RLS role membership, and distribute the dataset and related reports to the salespeople. A salesperson reports that she believes she should see more data. You need to verify what data the salesperson currently sees. What should you do? - Use the Test as role option to view data as the salesperson's user account. - Instruct the salesperson to open the report in Microsoft Power BI Desktop. - Filter the data in the reports to match the intended logic in the filter on the sales transaction table. - Use the Test as role option to view data as the Sales role.

- Use the Test as role option to view data as the Sales role.

You create a parameter named Data Source Excel that holds the file name and location of a Microsoft Excel data source. You need to update the query to reference the parameter instead of multiple hard-coded copies of the location within each query definition. Solution: You modify the source step of the queries to use Data Source Excel as the file path. Does this meet the goal? - Yes - No

- Yes Parameterising a Data Source could be used in many different use cases. From connecting to different data sources defined in Query Parameters to load different combinations of columns.

You are modeling data by using Microsoft Power BI. Part of the data model is a large Microsoft SQL Server table named Order that has more than 100 million records. During the development process, you need to import a sample of the data from the Order table. Solution: You add a WHERE clause to the SQL statement. Does this meet the goal? - Yes - No

- Yes The WHERE clause has its effects before the data is imported.

You have a folder of monthly transaction extracts. You plan to create a report to analyze the transaction data. You receive the following email message: "Hi, I've put 24 files of monthly transaction data onto the shared drive. File Transactions201801.csv through Transaction201812.csv have four columns while files Transactions201901.csv through Transaction201912.csv have the same four columns plus an additional three columns. Each file contains 10 to 50 transactions." You get data from the folder and select Combine & Load. The Combine Files dialog box is shown in the exhibit. The resulting query will contain all the columns from the 2019 transactions. - Yes - No

- Yes The columns used are based on the entire dataset. The additional columns in the 2019 files will be detected.

You have a folder of monthly transaction extracts. You plan to create a report to analyze the transaction data. You receive the following email message: "Hi, I've put 24 files of monthly transaction data onto the shared drive. File Transactions201801.csv through Transaction201812.csv have four columns while files Transactions201901.csv through Transaction201912.csv have the same four columns plus an additional three columns. Each file contains 10 to 50 transactions." You get data from the folder and select Combine & Load. The Combine Files dialog box is shown in the exhibit. The resulting query will contain all the columns from the 2018 transactions. - Yes - No

- Yes The four columns used in the 2018 transactions are already displayed.

You have a folder of monthly transaction extracts. You plan to create a report to analyze the transaction data. You receive the following email message: "Hi, I've put 24 files of monthly transaction data onto the shared drive. File Transactions201801.csv through Transaction201812.csv have four columns while files Transactions201901.csv through Transaction201912.csv have the same four columns plus an additional three columns. Each file contains 10 to 50 transactions." You get data from the folder and select Combine & Load. The Combine Files dialog box is shown in the exhibit. Setting Data Type Detection to Based on first 200 rows will improve import times - Yes - No

- Yes Under the hoods, Power BI will automatically detect which delimiter to use, and may even promote the first row as headers. You can manually change the delimiter, or define how Power BI should handle data types. You can set it to automatically detect data types based on first 200 rows, or the entire dataset or you can even opt out the detection of data types.

You have the visual shown in the Original exhibit. You need to configure the visual as shown in the Modified exhibit. What should you add to the visual? - an Average line - a forecast - a measure - a trendline

- a forecast Explore forecast results by adjusting the desired confidence interval or by adjusting outlier data to see how they affect results.

Which two types of visualizations can be used in the balance sheet reports to meet the reporting goals? - a line chart that shows balances by quarter filtered to account categories that are long-term liabilities. - a clustered column chart that shows balances by date (x-axis) and account category (legend) without filters. - a clustered column chart that shows balances by quarter filtered to account categories that are long-term liabilities. - a pie chart that shows balances by account category without filters. - a ribbon chart that shows balances by quarter and accounts in the legend.

- a line chart that shows balances by quarter filtered to account categories that are long-term liabilities. - a clustered column chart that shows balances by quarter filtered to account categories that are long-term liabilities.

The sale department requires reports that contain the number of sales transactions. What should you create to meet the reporting requirements of the sales department? - a measure that uses a formula of SUM(Sales[sales_id]) - a calculated column that use a formula of COUNTA(Sales[sales_id]) - a measure that uses a formula of COUNTROWS(Sales) - a calculated column that uses a formula of SUM(Sales[sales_id])

- a measure that uses a formula of COUNTROWS(Sales) The COUNTROWS function counts the number of rows in the specified table, or in a table defined by an expression.

The customer service department requires a visual that can be filtered by both sales month and ship month independently. You need to create relationships to meet the reporting requirements of the customer service department. What should you create? - an additional date table named ShipDate, a one-to-many relationship from Date[date_id] to Sales[Sales_date_id], and a one-to-many relationship from ShipDate[date_id] to Sales[sales_ship_date_id] - an additional date table named ShipDate, a many-to-many relationship from Sales[sales_date_id] to Date[date_id], and a many-to-many relationship from Sales[sales_ship_date_id] to ShipDate[date_id] - a one-to-many relationship from Date[date_id] to Sales[sales_date_id] and another one-to-many relationship from Date[date_id] to Weekly_Returns[week_id] - a one-to-many relationship from Sales[sales_date_id] to Date[date_id] and a one-to-many relationship from Sales[sales_ship_date_id] to Date[date_id]

- an additional date table named ShipDate, a one-to-many relationship from Date[date_id] to Sales[Sales_date_id], and a one-to-many relationship from ShipDate[date_id] to Sales[sales_ship_date_id] In Power BI Desktop, only one relationship can be active between a Fact table and Dimension table, so we need an extra table. Use one-to-many relationship to be able to filter.

You have a Power BI dashboard that monitors the quality of manufacturing processes. The dashboard contains the following elements: - A line chart that shows the number of defective products manufactured by day. - A KPI visual that shows the current daily percentage of defective products manufactured. You need to be notified when the daily percentage of defective products manufactured exceeds 3%. What should you create? - a Q&A visual - a subscription - a smart narrative visual - an alert

- an alert

You have two Azure SQL databases that contain the same tables and columns. For each database, you create a query that retrieves data from a table named Customer. You need to determine the Customer tables into a single table. The solution must minimize the size of the data model and support scheduled refresh in powerbi.com. What should you do? Option to use to combine the Customer tables: - append queries - append queries as new - merge queries - merge queries as new Action to perform on original 2 SQL database queries: - delete the queries - disable including the query in report refresh - disable loading the query to the data model - duplicate the queries

- append queries as new - disable loading the query to the data model There are two primary ways of combining queries: merging and appending. - When you have one or more columns that you'd like to add to another query, you merge the queries. - When you have additional rows of data that you'd like to add to an existing query, you append the query. For every query that loads into model memory will be consumed. and Memory is our asset in the Model, less memory consumption leads to better performance in most of the cases. The best approach is to disable loading.

Your company has training videos that are published to YouTube. You need to surface the videos directly in a Microsoft Power BI dashboard. Which type of tile should you add? - video - custom streaming data - text box - web content

- custom streaming data The only way to visualize a streaming dataset is to add a tile and use the streaming dataset as a custom streaming data source.

You need to create a visualization that compares revenue and cost over time. Which type of visualization should you use? - stacked area chart - donut chart - line chart - waterfall chart

- line chart A line chart or line graph displays the evolution of one or several numeric variables. Data points are connected by straight line segments. A line chart is often used to visualize a trend in data over intervals of time - a time series - thus the line is often drawn chronologically. Stacked area charts are not appropriate to study the evolution of each individual group: it is very hard to substract the height of other groups at each time point.

You have a collection of reports for the HR department of your company. You need to create a visualization for the HR department that shows a historic employee counts and predicts trends during the next six months. Which type of visualization should you use? - key influencers - ribbon chart - line chart - scatter chart

- line chart The best data for forecasting is time series data or uniformly increasing whole numbers. The line chart has to have only one line.

When a table visual is added to a blank report page and populated by using the StoreID field from the Sales table, a _____ is displayed. - distinct count of StoreID values - list of all StoreID values - list of distinct StoreID values - sum of StoreID values

- list of all StoreID values

You import the tables. Which relationship should you use to link the tables? - many-to-many between Customer and Transaction - one-to-many from Transaction to Customer - one-to-many from Customer to Transaction - one-to-one between Customer and Transaction

- one-to-many from Customer to Transaction Each customer can have many transactions. For each transaction there is exactly one customer.

Adding a page filter of Sales[StoreID] = 1 will filter the values displayed on the page from _____. - all the tables related to the Sales table - only the Sales table - only the Store table - the Sales table and the Customer table

- only the Sales table

You have a table that contains sales data and approximately 1,000 rows. You need to identify outliers in the table. Which type of visualization should you use? - donut chart - pie chart - area chart - scatter plot

- scatter plot Outliers are those data points that lie outside the overall pattern of distribution & the easiest way to detect outliers is though graphs. Box plots, Scatter plots can help detect them easily.

You are developing a report page. Some users will navigate the report by using a keyboard, and some users will consume the report by using a screen reader. You need to ensure that the users can consume the content on a report page in a logical order. What should you configure in Microsoft Power BI Desktop? - the tab order - the layer order - the bookmark order - the X position

- the tab order If you find yourself unable to navigate to an object or visual while using a keyboard, it may be because the report author has decided to hide that object from the tab order. Report authors commonly hide decorative objects from the tab order. If you find that you cannot tab through a report in a logical manner, you should contact the report author. Report authors can set the tab order for objects and visuals.

You build a report about warehouse inventory data. The dataset has more than 10 million product records from 200 warehouses worldwide. Warehouse managers report that it is difficult to use the report because the report uses only the product name in tables and visuals. The product name is contained within the ProductDescription column and is always the fourth value. You need to modify the report to support the warehouse managers requirement to explore inventory levels at different levels of the product hierarchy. The solution must minimize the model size. Which three actions should you perform in sequence? - transform the ProductDescription column to contain only the text between the first and fourth > symbol - add the product hierarchy as an extra field in visuals where ProductDescription is used - create a product hierarchy of ProductCategory, ProductSubcategory, Manufacturer, ProductName, and ProductSpecifications - add a column named ProductName that contains only the text between the third and fourth > symbol in the ProductDescription column - create a product hierarchy of Manufacturer, ProductSpecifications, ProductName, ProductSubcategory, and ProductCategory - replace the use of ProductDescription in the report with the product hierarchy - add a column named ProductName that contains all the text after the third > symbol in the ProductDescription column

1. add a column named ProductName that contains only the text between the third and fourth > symbol in the ProductDescription column 2. create a product hierarchy of Manufacturer, ProductSpecifications, ProductName, ProductSubcategory, and ProductCategory 3. replace the use of ProductDescription in the report with the product hierarchy

You are modeling data in a table named SalesDetail by using Microsoft Power BI. You need to provide end users with access to the summary statistics about the SalesDetail data. The users require insights on the completeness of the data and the value distributions. Which three actions should you perform in sequence? - create a blank query as a data source - create a parameter that uses a query for the suggested values - specify the following query, then close and apply. - Table.Distinct(# "SalesDetail") - create a visual on a report page using fields from the new table - create a query that sues common data service as a data source - specify the following query, then close and apply. - Table.Profile(# "SalesDetail")

1. create a blank query as a data source 2. specify the following query, then close and apply. - Table.Profile(# "SalesDetail") 3. create a visual on a report page using fields from the new table The Table.Profile() function takes a value of type table and returns a table that displays, for each column in the original table, the minimum, maximum, average, standard deviation, count of values, count of null values and count of distinct values.

The analysts responsible for each business unit must see all the data the board sees, except the profit and loss data, which must be restricted to only their business unit's data. The analysts must be able to build new reports from the dataset that contains the profit and loss data, but any reports that the analysts build must not be included in the quarterly reports for the board. The analysts must not be able to share the quarterly reports with anyone. Once the profit and loss dataset is created, which four actions should you perform in sequence to ensure that the business unit analysts see the appropriate profit and loss data? - from powerbi.com, assign the analysts the Contributor role to the workspace - from the power bi desktop, add a table filter DAX expression to the roles - from powerbi.com, add role members to the roles - from power bi desktop, publish the dataset to powerbi.com - from power bi desktop, create 4 roles

1. from power bi desktop, publish the dataset to powerbi.com 2. from power bi desktop, create 4 roles 3. from the power bi desktop, add a table filter DAX expression to the roles 4. from powerbi.com, add role members to the roles

You are using existing reports to build a dashboard that will be viewed frequently in portrait mode on mobile phones. You need to build the dashboard. Which four actions should you perform in sequence? - pin items from reports to the dashboard - rearrange, resize, or remove items from the phone view - edit the dashboard view - open the dashboard - create a phone layout for the existing reports

1. pin items from the reports to the dashboard 2. open the dashboard 3. edit the dashboard mobile view 4. rearrange, resize, or remove items from phone view

You receive revenue data that must be included in Microsoft Power BI reports. You plan to create several visuals from the data, including a visual that shows revenue split by year and product. You need to transform the data to ensure that you can build the visuals. The solution must ensure that the columns are named appropriately for the data that they contain. Which three actions should you perform in sequence? - rename the attribute column to revenue and the value column to year - select department and product and unpivot columns - select use first row as headers - rename the attribute column to year and the value column to revenue - select use header as first row - select department and product and unpivot other columns

1. select use first row as headers 2. select department and product and unpivot other columns 3. rename the attribute column to year and the value column to revenue

You are preparing a financial report in Power BI. You connect to the data stored in a Microsoft Excel spreadsheet by using Power Query Editor as shown in the following exhibit. You need to prepare the data to support the following: - Visualizations that include all measures in the data over time - Year-over-year calculations for all the measures Which four actions should you perform in sequence? - rename the attribute column as year - rename the measure column as year - use the first row as headers - use headers as the first row - unpivot all the columns other than measure - transpose the table - change the data type of the year column to date

1. transpose the table 2. unpivot all the columns other than measure 3. rename the measure column as year 4. change the data type of the year column to date

The Impressions table contains approximately 30 million records per month. You need to create an ad analytics system to meet the following requirements: Present ad impression counts for the day, campaign, and Site_name. The analytics for the last year are required. Minimize the data model size. Which two actions should you perform? A. Group the Impressions query in Power Query by Ad_id, Site_name, and Impression_date. Aggregate by using the CountRows function. B. Create one-to-many relationships between the tables. C. Create a calculated measure that aggregates by using the COUNTROWS function. D. Create a calculated table that contains Ad_id, Site_name, and Impression_date.

A. Group the Impressions query in Power Query by Ad_id, Site_name, and Impression_date. Aggregate by using the CountRows function. B. Create one-to-many relationships between the tables.

You import two Microsoft Excel tables named Customer and Address into Power Query. Customer contains the following columns: - Customer ID - Customer Name - Phone - Email Address - Address ID Address contains the following columns: - Address ID - Address Line 1 - Address Line 2 - City - State/Region - Country - Postal Code The Customer ID and Address ID columns represent unique rows. You need to create a query that has one row per customer. Each row must contain City, State/Region, and Country for each customer. What should you do? A. Merge the Customer and Address tables. B. Transpose the Customer and Address tables. C. Group the Customer and Address tables by the Address ID column. D. Append the Customer and Address tables.

A. Merge the Customer and Address tables. There are two primary ways of combining queries: merging and appending. When you have one or more columns that you'd like to add to another query, you merge the queries. When you have additional rows of data that you'd like to add to an existing query, you append the query.

You have a CSV file that contains user complaints. The file contains a column named Logged. Logged contains the date and time each complaint occurred. The data in Logged is in the following format: 2018-12-31 at 08:59. You need to be able to analyze the complaints by the logged date and use a built-in date hierarchy. A. Split the Logged column by using at as the delimiter. B. Apply a transformation to extract the last 11 characters of the C. Logged column and set the data type of the new column to Date. C. Apply a transformation to extract the last 11 characters of the Logged column. D. Apply the Parse function from the Date transformations options to the Logged column.

A. Split the Logged column by using at as the delimiter. The column needs to be in Date format. We need to split the column to a date part and a time of day part. In Power Query, you can split a column through different methods. In this case, the column(s) selected can be split by a delimiter.

Data for the reports comes from three sources. Detailed revenue, cost, and expense data comes from an Azure SQL database. Summary balance sheet data comes from Microsoft Dynamics 365 Business Central. The balance sheet data is not related to the profit and loss results, other than they both relate to dates. Monthly revenue and expense projections for the next quarter come from a Microsoft SharePoint Online list. Quarterly projections relate to the profit and loss results by using the following shared dimensions: date, business unit, department, and product category. What is the minimum number of Power BI datasets needed to support the reports? A. two imported datasets B. a single DirectQuery dataset C. two DirectQuery datasets D. a single imported dataset

A. two imported datasets

The Date table is marked as a date table. DateID is the date data type. You need to create an annual sales growth percentage measure. Which DAX expression should you use? A. SUM(sales[sales_amount]) - CALCULATE(SUM(sales[sales_amount]), SAMEPERIODLASTYEAR('Date'[DateID]) B. (SUM('Sales'[sales_amount]) - CALCULATE(SUM('Sales'[sales_amount]), SAMEPERIODLASTYEAR('Date'[DateID]))) / CALCULATE(SUM('Sales'[sales_amount]), SAMEPERIODLASTYEAR('Date'[DateID])) C. CALCULATE(SUM(sales[sales_amount]), DATESYTD('Date'[DateID])) D. CALCULATE(SUM(sales[sales_amount]), SAMEPERIODLASTYEAR('Date'[DateID]))

B. (SUM('Sales'[sales_amount]) - CALCULATE(SUM('Sales'[sales_amount]), SAMEPERIODLASTYEAR('Date'[DateID]))) / CALCULATE(SUM('Sales'[sales_amount]), SAMEPERIODLASTYEAR('Date'[DateID])) SAMEPERIODLASTYEAR returns a table that contains a column of dates shifted one year back in time from the dates in the specified dates column, in the current context.

You have a query that returns the data shown in the following exhibit. You need to configure the query to display the data shown in the following exhibit. Which step should you use in the query? A. = Table.SplitColumn(Source, "classes", Splitter.SplitTextByDelimiter(",", QuoteStyle.None), {"classes.1"}) B. = Table.Unpivot(Source, {"classes"}, "Attribute", "Value") C. = Table.SplitColumn(Source, "classes", Splitter.SplitTextByPositions({10}), {"classes.1"}) D. = Table.ExpandListColumn(Table.TransformColumns(Source, {{"classes", Splitter.SplitTextByDelimiter(",", QuoteStyle.None), let itemType = (type nullable text) meta [Serialized.Text = true] in type {itemType}}}), "classes")

B. = Table.Unpivot(Source, {"classes"}, "Attribute", "Value") Power Query Unpivot columns: You might want to unpivot data, sometimes called flattening the data, to put it in a matrix format so that all similar values are in one column.

You have the following three versions of an Azure SQL database: - Test - Production - Development You have a dataset that uses the development database as a data source. You need to configure the dataset so that you can easily change the data source between the development, test, and production database servers from powerbi.com. Which should you do? A. Create a JSON file that contains the database server names. Import the JSON file to the dataset. B. Create a parameter and update the queries to use the parameter. C. Create a query for each database server and hide the development tables. D. Set the data source privacy level to Organizational and use the ReplaceValue Power Query M function.

B. Create a parameter and update the queries to use the parameter. As you can't edit datasets data sources in Power BI service, we recommend using parameters to store connection details such as instance names and database names, instead of using a static connection string. This allows you to manage the connections through the Power BI service web portal, or using APIs, at a later stage.

A single dataset must support all three reports: - The Top Customers report will show the top 20 customers based on the highest sales amounts in a selected order month or quarter, product category, and sales region. - The Top Products report will show the top 20 products based on the highest sales amounts sold in a selected order month or quarter, sales region, and product category. - The data model must minimize the size of the dataset as much as possible, while meeting the report requirements and the technical requirements. You need to design the data model to meet the report requirements. What should you do in Power BI Desktop? A. From Power Query, use a DAX expression to add columns to the Orders table to calculate the calendar quarter of the OrderDate column, the calendar month of the OrderDate column, the calendar quarter of the ShippedDate column, and the calendar month of the ShippedDate column. B. From Power Query, add columns to the Orders table to calculate the calendar quarter and the calendar month of the OrderDate column. C. From Power BI Desktop, use the Auto date/time option when creating the reports. D. From Power Query, add a date table. Create an active relationship to the OrderDate column in the Orders table and an inactive relationship to the ShippedDate column in the Orders table.

B. From Power Query, add columns to the Orders table to calculate the calendar quarter and the calendar month of the OrderDate column. Use Power Query to calculate calendar quarter and calendar month.

You have an Azure SQL database that contains sales transactions. The database is updated frequently. You need to generate reports from the data to detect fraudulent transactions. The data must be visible within five minutes of an update. How should you configure the data connection? A. Add a SQL statement. B. Set Data Connectivity mode to Direct Query. C. Set the Command timeout in minutes setting. D. Set Data Connectivity mode to Import.

B. Set Data Connectivity mode to Direct Query. Direct Query: No data is imported or copied into Power BI Desktop. For relational sources, the selected tables and columns appear in the Fields list. For multi-dimensional sources like SAP Business Warehouse, the dimensions and measures of the selected cube appear in the Fields list. As you create or interact with a visualization, Power BI Desktop queries the underlying data source, so you're always viewing current data.

You are building a financial report by using Power BI. You have a table named financials that contains a column named Date and a column named Sales. You need to create a measure that calculates the relative change in sales as compared to the previous quarter. How should you complete the measure? options for all 3 boxes: - CALCULATE - CALCULATETABLE - DATEADD - DIVIDE - FILTER - FIND

Box 1: CALCULATE Box 2: DATEADD Box 3: DIVIDE

You have an API that returns more than 100 columns. The following is a sample of column names. - client_notified_timestamp - client_notified_source - client_notified_sourceid - client_notified_value -client_responded_timestamp -client_responded_source -client_responded_sourceid -client_responded_value Y ou plan to include only a subset of the returned columns. You need to remove any columns that have a suffix of sourceid. How should you complete the Power Query M code? Box 1: - Table.CombineColumn - Table.FindText - Table.FromList - Table.RemoveColumns Box 2: - List.Contains - List.Select - Table.FindText - Table.FromList Box 3: - Text.Contains - Text.EndsWith - Text.From - Text.StartsWith

Box 1: Table.RemoveColumns (When you do "Remove Columns" Power Query uses the Table.RemoveColumns function) Box 2: List.Select (Get a list of columns) Box 3: Text.Contains

You have a prospective customer list that contains 1,500 rows of data. The list contains the following fields: - First name - Last name - Email address - State/Region - Phone number You import the list into Power Query Editor. You need to ensure that the list contains records for each State/Region to which you want to target a marketing campaign. Which two actions should you perform? A. Open the Advanced Editor B. Select Column quality C. Enable Column profiling based on entire dataset D. Select Column distribution E. Select Column profile

D. Select Column distribution E. Select Column profile

You have a data model that contains many complex DAX expressions. The expressions contain frequent references to the RELATED and RELATEDTABLE functions. You need to recommend a solution to minimize the use of the RELATED and RELATEDTABLE functions. What should you recommend? A. Split the model into multiple models. B. Hide unused columns in the model. C. Merge tables by using Power Query. D. Transpose the required columns.

C. Merge tables by using Power Query. Combining data means connecting to two or more data sources, shaping them as needed, then consolidating them into a useful query. When you have one or more columns that you'd like to add to another query, you merge the queries.

At least one of the balance sheet reports in the quarterly reporting package must show the ending balances for the quarter, as well as for the previous quarter. Which DAX expression should you use to get the ending balances in the balance sheet reports? - CALCULATE ( SUM( BalanceSheet [BalanceAmount] ), DATESQTD( 'Date'[Date] ) ) - CALCULATE ( SUM( BalanceSheet [BalanceAmount] ), LASTDATE( 'Date'[Date] ) ) - FIRSTNONBLANK ( 'Date' [Date] SUM( BalanceSheet[BalanceAmount] ) ) - CALCULATE ( MAX( BalanceSheet[BalanceAmount] ), LASTDATE( 'Date' [Date] ) )

CALCULATE ( SUM( BalanceSheet [BalanceAmount] ), LASTDATE( 'Date'[Date] ) ) Semi-additive calculations, such as balance at end of month, use LASTDATE Functions.

You create the following step by using Power Query Editor. Table.ReplaceValue(SalesLT_Address,"1318","1319",Replacer.ReplaceText,{" ;AddressLine1"}) A row has a value of 21318 Lasalle Street in the AddressLine1 column. What will the value be when the step is applied? A. 1318 B. 1319 C. 21318 Lasalle Street D. 21319 Lasalle Street

D. 21319 Lasalle Street

You open a query in Power Query Editor. You need to identify the percentage of empty values in each column as quickly as possible. Which Data Preview option should you select? A. Show whitespace B. Column profile C. Column distribution D. Column quality

D. Column quality Column quality: In this section, we can easily see valid, Error and Empty percentage of data values associated with the Selected table.

You have a large dataset that contains more than 1 million rows. The table has a datetime column named Date. You need to reduce the size of the data model without losing access to any data. What should you do? A. Round the hour of the Date column to startOfHour. B. Change the data type of the Date column to Text. C. Trim the Date column. D. Split the Date column into two columns, one that contains only the time and another that contains only the date.

D. Split the Date column into two columns, one that contains only the time and another that contains only the date. We have to separate date & time tables. Also, we don't need to put the time into the date table, because the time is repeated every day. Split your DateTime column into a separate date & time columns in fact table, so that you can join the date to the date table & the time to the time table. The time need to be converted to the nearest round minute or second so that every time in your data corresponds to a row in your time table.

You have a clustered bar chart that contains a measure named Salary as the value and a field named Employee as the axis. Salary is present in the data as numerical amount representing US dollars. You need to create a reference line to show which employees are above the median salary. Solution: You create a median line by using the Salary measure. Does this meet the goal? Yes No

Yes The 50th percentile is also known as the median or middle value where 50 percent of observations fall below.

The On-Time Shipping report will show the following metrics for a selected shipping month or quarter: The percentage of orders that were shipped late by country and shipping regionCustomers that had multiple late shipments during the last quarter. You need to create the On-Time Shipping report. The report must include a visualization that shows the percentage of late orders. Which type of visualization should you create? - bar chart - scatterplot - pie chart

bar chart Bar and column charts are some of the most widely used visualization charts in Power BI. They can be used for one or multiple categories. Both these chart types represent data with rectangular bars, where the size of the bar is proportional to the magnitude of data values.

You need to create a monthly rolling average measure for Sales over time. How should you configure the quick measure calculation? base value: - month - total cost - total order qty - total sales - year date: - date - month - total sales - year period: - days - months - quarters - years

base value: total sales date: date period: months

Revenue projections are set at the monthly level and summed to show projections for the quarter. You need to create a DAX measure in the data model that only allows users to see projections at the appropriate level of granularity. How should you complete the measure? 3 blanks: - AND - IF - ISFILTERED - KEEPFILTERS - SUM - SUMX

blank 1: IF blank 2: ISFILTERED blank 3: SUM ISFILTERED returns TRUE when column Name is being filtered directly. If there is no filter on the column or if the filtering happens because a different column in the same table or in a related table is being filtered then the function returns FALSE.

You need to create a relationship in the dataset for RLS. What should you do? Create a ____ relationship between the sales employee table and the ____ table. blank 1: - one to one - one to many - many to one - many to many blank 2: - orders table - suppliers table - order details table - customer details worksheet

blank 1: many to one blank 2: suppliers table Each employee in the Sales Employees table is assigned to one sales region. Multiple employees can be assigned to each region. The Suppliers table has a Region column.

You need to create a measure that will return the percentage of late orders. How should you complete the DAX expression? box 1: - SUM - COUNTX - CALCULATE - CALCULATETABLE box 2: - FILTER - ALLEXCEPT - CALCULATE - DATESBETWEEN box 3: - Orders[OrderDate] > Orders[RequiredDate] - Orders[ShippedDate] >= Orders[OrderDate] - Orders[ShippedDate] < Orders[RequiredDate] - Orders[ShippedDate] > Orders[RequiredDate]

box 1: CALCULATE box 2: FILTER box 3: Orders[ShippedDate] > Orders[RequiredDate] - CALCULATE evaluates an expression in a modified filter context. - FILTER returns a table that represents a subset of another table or expression. - Northwind Traders defines late orders as those shipped after the required shipping date.

You have a Microsoft Power BI data model that contains three tables named Sales, Product, and Date. The Sales table has an existing measure named [Total Sales] that sums the total sales from the Sales table. You need to write a calculation that returns the percentage of total sales that a selected Product Category Name value represents. The calculation must respect any slicers on Product Category Name and must show the percentage of visible total sales. For example, if there are four Product Category Name values, and a user filters one out, a table showing Product Category Name and the calculation must sum up to 100 percent. How should you complete the calculation? option for all boxes: - ALL - ALLSELECTED - CALCULATE - CALCULATETABLE - CURRENTGROUP - DIVIDE - SUMMARIZE - TOPN

box 1: CALCULATE (CALCULATE evaluates an expression in a modified filter context) box 2: DIVIDE box 3: ALLSELECTED (ALLSELECTED removes context filters from columns and rows in the current query, while retaining all other context filters or explicit filters)

Your company has affiliates who help the company acquire customers. You build a report for the affiliate managers at the company to assist them in understanding affiliate performance. The managers request a visual showing the total sales value of the latest 50 transactions for each affiliate. The Affiliate table has a one-to-many relationship to the Transactions table based on the AffiliateID column. You need to develop a measure to support the visual. How should you complete the DAX expression? options for first 3 boxes: - CALCULATE - CONCATENATEX - SUM - SUMX - TOPN option for box 4: - TransactionID - Amount - ItemsOrdered - TransactionDate

box 1: CALCULATE (CALCULATE evaluates an expression in a modified filter context) box 2: SUMX (SUMX returns the sum of an expression evaluated for each row in a table) box 3: TOPN (TOPN returns the top N rows of the specified table) box 4: TransactionDate

You have two tables named Customers and Invoice in a Power BI model. The Customers table contains the following fields: - CustomerID - Customer City - Customer State - Customer Name - Customer Address 1 - Customer Address 2 - Customer Postal Code The Invoice table contains the following fields: - Order ID - Invoice ID - Invoice Date - Customer ID - Total Amount - Total Item Count The Customers table is related to the Invoice table through the Customer ID columns. A customer can have many invoices within one month. The Power BI model must provide the following information: - The number of customers invoiced in each state last month - The average invoice amount per customer in each postal code You need to define the relationship from the Customers table to the Invoice table. The solution must optimize query performance. What should you configure? cardinality: - many to many - many to one - one to many - one to one cross-filter direction - both - single

cardinality: one to many (A customer can have many invoices within one month) cross filter direction: single (For One-to-many relationships, the cross filter direction is always from the "one" side, and optionally from the "many" side bi-directional)

The Products table is related to the ProductCategory table through the ProductCategoryID column. You need to ensure that you can analyze sales by product category. How should you configure the relationships from ProductCategory to Products? cardinality: - one to many - one to one - many to many cross filter direction: - single - both

cardinality: one to many (Each ProductCategory can have many Products, while each Product belongs to exactly one ProductCategory) cross filter direction: both (For One-to-many relationships, the cross filter direction is always from the "one" side, and optionally from the "many" side (bi-directional))

You need to create a visual as shown in the following exhibit. The indicator color for Total Sales will be based on % Growth to Last Year. The solution must use the existing calculations only. How should you configure the visual? conditional formatting: - background color - data bars - font color - icons - web URL format by: - color scale - field value - rules

conditional formatting: background color format by: field value

There is a relationship between the tables. There are no reporting requirements on employee_id and employee_photo. You need to optimize the data model. What should you configure for employee_id and employee_photo? employee_id: - change type - delete - hide - sort employee_photo: - change type - delete - hide - sort

employee_id: hide (Optimize data by hiding fields and sorting visualization data) employee_photo: delete (The fastest way to optimize your Power BI report is to limit the number of columns to only the ones you need in your data model. Go through your tables in Power Query and determine what fields are being used. Delete these columns if they are not being used in any of your reports or calculations.)

The Top Customers report will show the top 20 customers based on the highest sales amounts in a selected order month or quarter, product category, and sales region. You need to create the Top Customers report. Which type of filter should you use, and at which level should you apply the filter? filter type: - TopN - basic - advanced level: - page - visual - report

filter type: TopN level: visual

The sales managers require a visual to analyze sales performance versus sales targets. You need to create a KPI visualization to meet the reporting requirements of the sales managers. How should you create the visualization? indicator: trend axis: target goals: options: - date[month] - sales[sales_amount] - sales[sales_id] - targets[sales_target] - weekly_returns[total_returns]

indicator: sales[sales_amount] trend axis: date[month] target goals: targets[sales_target]

You have a clustered bar chart that contains a measure named Salary as the value and a field named Employee as the axis. Salary is present in the data as numerical amount representing US dollars. You need to create a reference line to show which employees are above the median salary. Solution: You create a constant line and set the value to .5. Does this meet the goal? - yes - no

no Instead create a percentile line by using the Salary measure and set the percentile to 50%.

You are creating a Microsoft Power BI model that has two tables named CityData and Sales. CityData and Sales are related using a many-to-many relationship based upon the State column in each table. For each of the following statements, select Yes if the statement is true. Otherwise, select No. a table visualization that uses CityData[State] and Sales[Sales] will contain sales from the state of TX - yes - no

no TX only occurs in the Sales table, but not in the CityData table.

You have a clustered bar chart that contains a measure named Salary as the value and a field named Employee as the axis. Salary is present in the data as numerical amount representing US dollars. You need to create a reference line to show which employees are above the median salary. You create an average line by using the Salary measure. Does this meet the goal? - yes - no

no Instead create a percentile line by using the Salary measure and set the percentile to 50%. The 50th percentile is also known as the median or middle value where 50 percent of observations fall below.

You need to calculate the last day of the month in the balance sheet data to ensure that you can relate the balance sheet data to the Date table. Which type of calculation and which formula should you use? type of calculation: - A DAX calculated column - A DAX calculated measure - an M custom column formula: - Date.EndOfMonth(#date([Year], [Month], 1)) - Date.EndOfQuarter(#date([Year], [Month], 1)) - ENDOFQUARTER(DATE('BalanceSheet'[Year],BalanceSheet[Month], 1),0)

type of calculation: an M custom column formula: Date.EndOfMonth(#date([Year], [Month], 1))

The sales managers require a visual to analyze sales performance versus sales targets. You need to create a visualization to meet the reporting requirements of the sales managers. How should you create the visualization? visualization type: - card - donut chart - gauge - key influencers - kpi indicator: - date[month] - sales[sales_amount] - sales[sales_id] - targets[sales_target] - weekly_returns[total_returns] trend axis: - date[month] - sales[sales_amount] - sales[sales_id] - targets[sales_target] - weekly_returns[total_returns] target goals: - date[month] - sales[sales_amount] - sales[sales_id] - targets[sales_target] - weekly_returns[total_returns]

visualization type: kpi indicator: sales[sales_amount] trend axis: date[month] (Time > FiscalMonth. This value will represent the trend) target goals: targets[sales_target] A Key Performance Indicator (KPI) is a visual cue that communicates the amount of progress made toward a measurable goal.

You are creating a Microsoft Power BI model that has two tables named CityData and Sales. CityData and Sales are related using a many-to-many relationship based upon the State column in each table. For each of the following statements, select Yes if the statement is true. Otherwise, select No. a DAX expression of Sales total = CALCULATE(SUM(Sales[Sales]), All(Sales)) will produce the correct total sales value for each state, based on the data model - yes - no

yes

You have a clustered bar chart that contains a measure named Salary as the value and a field named Employee as the axis. Salary is present in the data as numerical amount representing US dollars. You need to create a reference line to show which employees are above the median salary. You create a percentile line by using the Salary measure and set the percentile to 50%. Does this meet the goal? - yes - no

yes The 50th percentile is also known as the median or middle value where 50 percent of observations fall below.

You are creating a Microsoft Power BI model that has two tables named CityData and Sales. CityData and Sales are related using a many-to-many relationship based upon the State column in each table. For each of the following statements, select Yes if the statement is true. Otherwise, select No. in the Sales table, you can write DAX expression that uses the RELATED() function to get data from the CityData table - yes - no

yes The Related function returns a related value from another table. The RELATED function requires that a relationship exists between the current table and the table with related information. You specify the column that contains the data that you want, and the function follows an existing many-to-one relationship to fetch the value from the specified column in the related table. If a relationship does not exist, you must create a relationship.