AI-102 - TOPIC 1 - QUESTION SET 1

You have an Azure subscription that contains a Language service resource named ta1 and a virtual network named vnet1. You need to ensure that only resources in vnet1 can access ta1. What should you configure? A. a network security group (NSG) for vnet1 B. Azure Firewall for vnet1 C. the virtual network settings for ta1 D. a Language service container for ta1

C

You have receipts that are accessible from a URL.You need to extract data from the receipts by using Form Recognizer and the SDK. The solution must use a prebuilt model. Which client and method should you use? A. the FormRecognizerClient client and the StartRecognizeContentFromUri method B. the FormTrainingClient client and the StartRecognizeContentFromUri method C. the FormRecognizerClient client and the StartRecognizeReceiptsFromUri method D. the FormTrainingClient client and the StartRecognizeReceiptsFromUri method

C

You need to build a chatbot that meets the following requirements: ✑ Supports chit-chat, knowledge base, and multilingual models ✑ Performs sentiment analysis on user messages ✑ Selects the best language model automatically What should you integrate into the chatbot? A. QnA Maker, Language Understanding, and Dispatch B. Translator, Speech, and Dispatch C. Language Understanding, Text Analytics, and QnA Maker D. Text Analytics, Translator, and Dispatch

C

Your company wants to reduce how long it takes for employees to log receipts in expense reports. All the receipts are in English. You need to extract top-level information from the receipts, such as the vendor and the transaction total. The solution must minimize development effort. Which Azure service should you use? A. Custom Vision B. Personalizer C. Form Recognizer D. Computer Vision

C

You successfully run the following HTTP request. POST https://management.azure.com/subscriptions/18c51a87-3a69-47a8-aedc-a54745f708a1/resourceGroups/RG1/providers/Microsoft.CognitiveServices/accounts/contoso1/regenerateKey?api-version=2017-04-18Body{"keyName": "Key2"} What is the result of the request? A. A key for Azure Cognitive Services was generated in Azure Key Vault. B. A new query key was generated. C. The primary subscription key and the secondary subscription key were rotated. D. The secondary subscription key was reset.

D

You plan to provision a QnA Maker service in a new resource group named RG1. In RG1, you create an App Service plan named AP1. Which two Azure resources are automatically created in RG1 when you provision the QnA Maker service? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point. A. Language Understanding B. Azure SQL Database C. Azure Storage D. Azure Cognitive Search E. Azure App Service

DE

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen. You create a web app named app1 that runs on an Azure virtual machine named vm1. Vm1 is on an Azure virtual network named vnet1. You plan to create a new Azure Cognitive Search service named service1. You need to ensure that app1 can connect directly to service1 without routing traffic over the public internet. Solution: You deploy service1 and a private endpoint to vnet1. Does this meet the goal?

YES

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen. You have an Azure Cognitive Search service. During the past 12 months, query volume steadily increased. You discover that some search query requests to the Cognitive Search service are being throttled. You need to reduce the likelihood that search query requests are throttled. Solution: You add replicas. Does this meet the goal?

YES

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen. You have an Azure Cognitive Search service. During the past 12 months, query volume steadily increased. You discover that some search query requests to the Cognitive Search service are being throttled. You need to reduce the likelihood that search query requests are throttled. Solution: You migrate to a Cognitive Search service that uses a higher tier. Does this meet the goal?

YES

DRAG DROP- You are building an app that will scan confidential documents and use the Language service to analyze the contents. You provision an Azure Cognitive Services resource. You need to ensure that the app can make requests to the Language service endpoint. The solution must ensure that confidential documents remain on-premises. Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. Actions Run the container and specify an App ID and Client Secret. Provision an on-premises Kubernetes cluster that is isolated from the internet. Pull an image from the Microsoft Container Registry (MCR). Run the container and specify an API key and the Endpoint URL of the Cognitive Services resource. Provision an on-premises Kubernetes cluster that has internet connectivity. Pull an image from Docker Hub. Provision an Azure Kubernetes Service (AKS) resource.

- Provision an on-prem kubernetes cluster that is isolated from Internet - Pull an image from MCR - Run the container and specify an API Key and Endpoint URL of the Cognitive Services resource

You plan to use a Language Understanding application named app1 that is deployed to a container. App1 was developed by using a Language Understanding authoring resource named lu1. App1 has the versions shown in the following table. Version - Trained date - Published date V1.2 - None - None V1.1 - 2020-10-01 - None V1.0 - 2020-09-01 - 2020-09-15 You need to create a container that uses the latest deployable version of app1. Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. Select and Place: a) Run a container that has version set as an environment variable b) Export the model by using the Export as JSON option c) select v1.1 of app1 d) Run a container and mount the model file. e) Select v1.0 of app1 f) Export the model by using the Export for containers (GZIP) option. g) Select v1.2 of app1

1) select v1.1 of app1 2) Export the model by using the Export for containers (GZIP) option 3) Run a container and mount the model file.

DRAG DROP- You have a Custom Vision service project that performs object detection. The project uses the General domain for classification and contains a trained model. You need to export the model for use on a network that is disconnected from the internet. Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. Actions: Change the classification type Export the model Retrain the model Change Domains to General (compact) Create a new classification model

1. Change Domains to General (compact) 2. Retain model 3. Export model

You are building a solution that will detect anomalies in sensor data from the previous 24 hours. You need to ensure that the solution scans the entire dataset, at the same time, for anomalies. Which type of detection should you use? A. batch B. streaming C. change points

A

You are building an AI solution that will use Sentiment Analysis results from surveys to calculate bonuses for customer service staff. You need to ensure that the solution meets the Microsoft responsible AI principles. What should you do? A. Add a human review and approval step before making decisions that affect the staff's financial situation. B. Include the Sentiment Analysis results when surveys return a low confidence score. C. Use all the surveys, including surveys by customers who requested that their account be deleted and their data be removed. D. Publish the raw survey data to a central location and provide the staff with access to the location.

A

You are developing a new sales system that will process the video and text from a public-facing website. You plan to notify users that their data has been processed by the sales system. Which responsible AI principle does this help meet? A. transparency B. fairness C. inclusiveness D. reliability and safety

A

You have a factory that produces food products. You need to build a monitoring solution for staff compliance with personal protective equipment (PPE) requirements. The solution must meet the following requirements: * Identify staff who have removed masks or safety glasses. * Perform a compliance check every 15 minutes. * Minimize development effort. * Minimize costs. Which service should you use? A. Face B. Computer Vision C. Azure Video Analyzer for Media (formerly Video Indexer)

A

You have an Azure IoT hub that receives sensor data from machinery. You need to build an app that will perform the following actions: • Perform anomaly detection across multiple correlated sensors. • Identify the root cause of process stops. • Send incident alerts. The solution must minimize development time. Which Azure service should you use? A. Azure Metrics Advisor B. Form Recognizer C. Azure Machine Learning D. Anomaly Detector

A

You plan to perform predictive maintenance. You collect IoT sensor data from 100 industrial machines for a year. Each machine has 50 different sensors that generate data at one-minute intervals. In total, you have 5,000 time series datasets. You need to identify unusual values in each time series to help predict machinery failures. Which Azure service should you use? A. Anomaly Detector B. Cognitive Search C. Form Recognizer D. Custom Vision

A

You have the following C# method for creating Azure Cognitive Services resources programmatically. static void create_resource (CognitiveServicesManagement Client client, string resource_name, string kind, string account_tier, string location) { CognitiveServicesAccount parameters =new Cognitive ServicesAccount (null, null, kind, location, resource_name, new Cognitive ServicesAccount Properties (), new Sku (account_tier)); var result = client.Accounts.Create (resource_group_name, account_tier, parameters); } You need to call the method to create a free Azure resource in the West US Azure region. The resource will be used to generate captions of images automatically. Which code should you use? A. create_resource(client, "res1", "ComputerVision", "F0", "westus") B. create_resource(client, "res1", "CustomVision.Prediction", "F0", "westus") C. create_resource(client, "res1", "ComputerVision", "S0", "westus") D. create_resource(client, "res1", "CustomVision.Prediction", "S0", "westus")

A - na 99%, ale to jedno percento tam stále je

You build a custom Form Recognizer model. You receive sample files to use for training the model as shown in the following table. Name-Type-Size File1 -PDF -20 MB File2 -MP4 -100 MB File3 -JPG -20 MB File4 -PDF -100 MB File5 -GIF -1 MB File6 -JPG -40 MB Which three files can you use to train the model? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point. A. File1 B. File2 C. File3 D. File4 E. File5 F. File6

ACF

A customer uses Azure Cognitive Search. The customer plans to enable a server-side encryption and use customer-managed keys (CMK) stored in Azure. What are three implications of the planned change? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point. A. The index size will increase. B. Query times will increase. C. A self-signed X.509 certificate is required. D. The index size will decrease. E. Query times will decrease. F. Azure Key Vault is required.

ABF

You have 100 chatbots that each has its own Language Understanding model. Frequently, you must add the same phrases to each model. You need to programmatically update the Language Understanding models to include the new phrases. How should you complete the code? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content. NOTE: Each correct selection is worth one point. var phraselistId = await client.Features.xxxxx (appId, versionId, new xxxxx (EnabledForAllModels = false, IsExchangeable = true, Name = "PL1", Phrases = "item1, item2, item3, item4, item5" )); Select and Place: a)AddPhraseListAsync b)Phraselist c)PhraselistCreateObject d)SavePhraselistAsync e)UploadPhraseListAsync

AddPhraseListAsync PhraselistCreateObject

You are building a language model by using a Language Understanding (classic) service. You create a new Language Understanding (classic) resource. You need to add more contributors. What should you use? A. a conditional access policy in Azure Active Directory (Azure AD) B. the Access control (IAM) page for the authoring resources in the Azure portal C. the Access control (IAM) page for the prediction resources in the Azure portal

B

You have an Azure Cognitive Search solution and a collection of blog posts that include a category field. You need to index the posts. The solution must meet the following requirements: * Include the category field in the search results. * Ensure that users can search for words in the category field. * Ensure that users can perform drill down filtering based on category. Which index attributes should you configure for the category field? A. searchable, sortable, and retrievable B. searchable, facetable, and retrievable C. retrievable, filterable, and sortable D. retrievable, facetable, and key

B

You have an app named App1 that uses an Azure Cognitive Services model to identify anomalies in a time series data stream. You need to run App1 in a location that has limited connectivity. The solution must minimize costs. What should you use to host the model? A. Azure Kubernetes Service (AKS) B. Azure Container Instances C. a Kubernetes cluster hosted in an Azure Stack Hub integrated system D. the Docker Engine

B

You have an Azure Cognitive Search instance that indexes purchase orders by using Form Recognizer. You need to analyze the extracted information by using Microsoft Power BI. The solution must minimize development effort. What should you add to the indexer? A. a projection group B. a table projection C. a file projection D. an object projection

B (na 99 %) 1 percento dávam object projection (JSON)

You have an Azure subscription that contains an Anomaly Detector resource. You deploy a Docker host server named Server1 to the on-premises network. You need to host an instance of the Anomaly Detector service on Server1. Which parameter should you include in the docker run command? A. Fluentd B. Billing C. Http Proxy D. Mounts

B asi

You are developing a new sales system that will process the video and text from a public-facing website. You plan to monitor the sales system to ensure that it provides equitable results regardless of the user's location or background. Which two responsible AI principles provide guidance to meet the monitoring requirements? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point. A. transparency B. fairness C. inclusiveness D. reliability and safety E. privacy and security

BC

You are developing a monitoring system that will analyze engine sensor data, such as rotation speed, angle, temperature, and pressure. The system must generate an alert in response to atypical values. What should you include in the solution? A. Application Insights in Azure Monitor B. metric alerts in Azure Monitor C. Multivariate Anomaly Detection D. Univariate Anomaly Detection

C

You plan to use containerized versions of the Anomaly Detector API on local devices for testing and in on-premises datacenters. You need to ensure that the containerized deployments meet the following requirements: ✑ Prevent billing and API information from being stored in the command-line histories of the devices that run the container. ✑ Control access to the container images by using Azure role-based access control (Azure RBAC). Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select. Select and Place: Create a custom Dockerfile Pull the Anomaly Detector container image Distribute a docker run script push the image to an Azure container registry Build the image Push the image to Docker Hub

Create a custom Dockerfile Pull the Anomaly Detector container image Build the image push the image to an Azure container registry (not sureee)

HOTSPOT- You have an Azure Cognitive Search resource named Search1 that is used by multiple apps. You need to secure Search1. The solution must meet the following requirements: • Prevent access to Search1 from the internet. • Limit the access of each app to specific queries. What should you do? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. To prevent access from the internet: Configure an IP firewall. Create a private endpoint. Use Azure roles. To limit access to queries: Create a private endpoint. Use Azure roles. Use key authentication.

Create a private endpoint use Azure roles

SIMULATION -You need to create a Text Analytics service named Text12345678, and then enable logging for Text12345678. The solution must ensure that any changes toText12345678 will be stored in a Log Analytics workspace. To complete this task, sign in to the Azure portal.

Create an Azure Cognitive multi-service resource On the Create page, provide the following information.Name: Text12345678 - Step 4: Configure additional settings for your resource as needed, read and accept the conditions (as applicable), and then select Review + create. Step 5: Navigate to the Azure portal. Then locate and select The Text Analytics service resource Text12345678 (which you created in Step 4). Step 6: Next, from the left-hand navigation menu, locate Monitoring and select Diagnostic settings. This screen contains all previously created diagnostic settings for this resource. Step 7: Select + Add diagnostic setting. Step 8: When prompted to configure, select the storage account and OMS workspace that you'd like to use to store you diagnostic logs. Note: If you don't have a storage account or OMS workspace, follow the prompts to create one. Step 9: Select Audit, RequestResponse, and AllMetrics. Then set the retention period for your diagnostic log data. If a retention policy is set to zero, events for that log category are stored indefinitely. Step 10: Click Save. For any resource that needs this requirement: 1. First create a log analytics workspace. 2. Go to Diagnostic settings -> add diagnostic setting -> click audit, alllogs, allmetrics and choose the workspace created in 1

You have a Language Understanding resource named lu1. You build and deploy an Azure bot named bot1 that uses lu1. You need to ensure that bot1 adheres to the Microsoft responsible AI principle of inclusiveness. How should you extend bot1? A. Implement authentication for bot1. B. Enable active learning for lu1. C. Host lu1 in a container. D. Add Direct Line Speech to bot1.

D

You have a collection of 50,000 scanned documents that contain text. You plan to make the text available through Azure Cognitive Search. You need to configure an enrichment pipeline to perform optical character recognition (OCR) and text analytics. The solution must minimize costs. What should you attach to the skillset? A. a new Computer Vision resource B. a free (Limited enrichments) Cognitive Services resource C. an Azure Machine Learning Designer pipeline D. a new Cognitive Services resource that uses the S0 pricing tier

D

You have an app that analyzes images by using the Computer Vision API. You need to configure the app to provide an output for users who are vision impaired. The solution must provide the output in complete sentences. Which API call should you perform? A. readInStreamAsync B. analyzeImagesByDomainInStreamAsync C. tagImageInStreamAsync D. describeImageInStreamAsync

D

SIMULATION -Use the following login credentials as needed: To enter your username, place your cursor in the Sign in box and click on the username below. To enter your password, place your cursor in the Enter password box and click on the password below. Azure Username: [email protected] -Azure Password: XXXXXXXXXXXX -The following information is for technical support purposes only: Lab Instance: 12345678 - Task -You need to ensure that a user named [email protected] can regenerate the subscription keys of AAA12345678. The solution must use the principle of least privilege. To complete this task, sign in to the Azure portal.

Manually rotate subscription keys 1. (Update your application code to reference the secondary key for the Azure account and deploy.) 2. In the Azure portal, navigate to your Azure account. 3. Under Settings, select Authentication. 4. To regenerate the primary key for your Azure account, select the Regenerate button next to the primary key. 5. (Update your application code to reference the new primary key and deploy.) 6. Regenerate the secondary key in the same manner.

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen. You create a web app named app1 that runs on an Azure virtual machine named vm1. Vm1 is on an Azure virtual network named vnet1. You plan to create a new Azure Cognitive Search service named service1. You need to ensure that app1 can connect directly to service1 without routing traffic over the public internet. Solution: You deploy service1 and a public endpoint, and you configure a network security group (NSG) for vnet1. Does this meet the goal?

NO

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen. You have an Azure Cognitive Search service. During the past 12 months, query volume steadily increased. You discover that some search query requests to the Cognitive Search service are being throttled. You need to reduce the likelihood that search query requests are throttled. Solution: You add indexes. Does this meet the goal?

NO

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen. You have an Azure Cognitive Search service. During the past 12 months, query volume steadily increased. You discover that some search query requests to the Cognitive Search service are being throttled. You need to reduce the likelihood that search query requests are throttled. Solution: You enable customer-managed key (CMK) encryption. Does this meet the goal?

NO

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen. You create a web app named app1 that runs on an Azure virtual machine named vm1. Vm1 is on an Azure virtual network named vnet1. You plan to create a new Azure Cognitive Search service named service1. You need to ensure that app1 can connect directly to service1 without routing traffic over the public internet. Solution: You deploy service1 and a public endpoint to a new virtual network, and you configure Azure Private Link. Does this meet the goal?

No

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen. You create a web app named app1 that runs on an Azure virtual machine named vm1. Vm1 is on an Azure virtual network named vnet1. You plan to create a new Azure Cognitive Search service named service1. You need to ensure that app1 can connect directly to service1 without routing traffic over the public internet. Solution: You deploy service1 and a public endpoint, and you configure an IP firewall rule. Does this meet the goal?

No

You need to create a new resource that will be used to perform sentiment analysis and optical character recognition (OCR). The solution must meet the following requirements: ✑ Use a single key and endpoint to access multiple services. ✑ Consolidate billing for future services that you might use. ✑ Support the use of Computer Vision in the future. How should you complete the HTTP request to create the new resource? To answer, select the appropriate options in the answer area. PATCH/POST/PUT https://management.azure.com/subscriptions/xxxxxxxxXXXX-XXXX-tXXXXXXXXXXXX/resourceGroups/RG1/providers/Microsoft.CognitiveServices/accounts/CS1?api-version-2017-04-18 {"location": "West US", "kind":"CognitiveServices/ComputerVision/TextAnalytics", "sku": { "name": "SO" }, "properties": {}, "identity": {"type": "SystemAssigned"}}

PUT CognitiveServices

SIMULATION -You plan to create a solution to generate captions for images that will be read from Azure Blob Storage.You need to create a service in Azure Cognitive Services for the solution. The service must be named captions12345678 and must use the Free pricing tier. To complete this task, sign in to the Azure portal.

Part 1: Create a search service captions12345678 Step 1: Sign in to the QnA portal. Step 2: Create an Azure Cognitive multi-service resource: Step 3: On the Create page, provide the following information. Name: captions12345678ֲ¨Pricing tier: Free - Step 4: Click Review + create -(Step 5: Create a data sourceIn Connect to your data, choose Azure Blob Storage. Choose an existing connection to the storage account and container you created. Give the data source a name, and use default values for the rest.)

SIMULATION -You need to create a search service named search12345678 that will index a sample Azure Cosmos DB database named hotels-sample. The solution must ensure that only English language fields are retrievable. To complete this task, sign in to the Azure portal.

Part 1: Create a search service search12345678 Step 1: Sign in to the QnA portal. Step 2: Create an Azure Cognitive multi-service resource Step 3: On the Create page, provide the following information. Name: search12345678 - Step 4: Click Review + create -Part 2: Start the Import data wizard and create a data source Step 5: Click Import data on the command bar to create and populate a search index. Step 6: In the wizard, click Connect to your data > Samples > hotels-sample. This data source is built-in. If you were creating your own data source, you would need to specify a name, type, and connection information. Once created, it becomes an "existing data source" that can be reused in other import operations. Step 7: Continue to the next page. Step 8: Skip the "Enrich content" page Step 9: Configure index. Make sure English is selected for the fields. Step 10: Continue and finish the wizard.

You need to develop an automated call handling system that can respond to callers in their own language. The system will support only French and English. Which Azure Cognitive Services service should you use to meet each requirement? To answer, drag the appropriate services to the correct requirements. Each service may be used once, more than once, or not at all. You may need to drag the split bat between panes or scroll to view content. NOTE: Each correct selection is worth one point. Services: Speaker Recognition Speech to Text Text Analytics Text to Speech Translator Detect the incoming language: Respond in the caller's own language:

Speech to Text - Text to Speech Alebo Text analytics - Translator Závisí od toho ako chápeme otázku. Speech to text má možnosť identifikovať jazyk, takže za mňa speech to text, odpoveď v správnom jazyku by mala byť pomocou translatoru, ale zase odpoveď je hovorená, takže aj text to speech. Ale keďže sa pýtajú vyslovene na jazyk, asi by som dala translator. I guess

SIMULATION -Use the following login credentials as needed: To enter your username, place your cursor in the Sign in box and click on the username below. To enter your password, place your cursor in the Enter password box and click on the password below. Azure Username: [email protected] -Azure Password: XXXXXXXXXXXX -The following information is for technical support purposes only: Lab Instance: 12345678 - Task -You plan to build an application that will use caption12345678. The application will be deployed to a virtual network named VNet1. You need to ensure that only virtual machines on VNet1 can access caption12345678. To complete this task, sign in to the Azure portal.

Step 1: Create private endpoint for your web app1. In the left-hand menu, select All Resources > caption12345678 - the name of your web app. 2. In the web app overview, select Settings > Networking. 3. In Networking, select Private endpoints. 4. Select + Add in the Private Endpoint connections page. 5. Enter or select the following information in the Add Private Endpoint page: Name: Enter caption12345678.Subscription Select your Azure subscription. Virtual network Select VNet1.Subnet: -Integrate with private DNS zone: Select Yes. 6. Select OK.

SIMULATION -Use the following login credentials as needed: To enter your username, place your cursor in the Sign in box and click on the username below. To enter your password, place your cursor in the Enter password box and click on the password below. Azure Username: [email protected] -Azure Password: XXXXXXXXXXXX -The following information is for technical support purposes only: Lab Instance: 12345678 -Task -You plan to build an API that will identify whether an image includes a Microsoft Surface Pro or Surface Studio. You need to deploy a service in Azure Cognitive Services for the API. The service must be named AAA12345678 and must be in the East US Azure region. The solution must use the Free pricing tier. To complete this task, sign in to the Azure portal.

Step 1: In the Azure dashboard, click Create a resource. Step 2: In the search bar, type "Cognitive Services. "You'll get information about the cognitive services resource and a legal notice. Click Create. Step 3: You'll need to specify the following details about the cognitive service (refer to the image below for a completed example of this page):Subscription: choose your paid or trial subscription, depending on how you created your Azure account. Resource group: click create new to create a new resource group or choose an existing one. Region: choose the Azure region for your cognitive service. Choose: East US Azure region. Name: choose a name for your cognitive service. Enter: AAA12345678Pricing Tier: Select: Free pricing tier Step 4: Review and create the resource, and wait for deployment to complete. Then go to the deployed resource.Note: The Computer Vision Image Analysis service can extract a wide variety of visual features from your images. For example, it can determine whether an image contains adult content, find specific brands or objects, or find human faces. comment // 1. create cognitive service east-us, free 2. go to custom vision ai and choose #1 3. uploaded images of surface pro or studio 4. train the model 5. test 6. publish

SIMULATION -Use the following login credentials as needed: To enter your username, place your cursor in the Sign in box and click on the username below. To enter your password, place your cursor in the Enter password box and click on the password below. Azure Username: [email protected] -Azure Password: XXXXXXXXXXXX -The following information is for technical support purposes only: Lab Instance: 12345678 Task -You need to build an API that uses the service in Azure Cognitive Services named AAA12345678 to identify whether an image includes a Microsoft Surface Pro or Surface Studio. To achieve this goal, you must use the sample images in the C:\Resources\Images folder. To complete this task, sign in to the Azure portal.

Step 1: In the Azure dashboard, click Create a resource. Step 2: In the search bar, type "Cognitive Services."You'll get information about the cognitive services resource and a legal notice. Click Create. Step 3: You'll need to specify the following details about the cognitive service (refer to the image below for a completed example of this page):Subscription: choose your paid or trial subscription, depending on how you created your Azure account. Resource group: click create new to create a new resource group or choose an existing one. Region: choose the Azure region for your cognitive service. Choose: East US Azure region. Name: choose a name for your cognitive service. Enter: AAA12345678Pricing Tier: Select: Free pricing tier Step 4: Review and create the resource, and wait for deployment to complete. Then go to the deployed resource. Note: The Computer Vision Image Analysis service can extract a wide variety of visual features from your images. For example, it can determine whether an image contains adult content, find specific brands or objects, or find human faces. Tag visual features -Identify and tag visual features in an image, from a set of thousands of recognizable objects, living things, scenery, and actions. When the tags are ambiguous or not common knowledge, the API response provides hints to clarify the context of the tag. Tagging isn't limited to the main subject, such as a person in the foreground, but also includes the setting (indoor or outdoor), furniture, tools, plants, animals, accessories, gadgets, and so on. Try out the image tagging features quickly and easily in your browser using Vision Studio. //comment 1. create cognitive resource 2. go to https://www.customvision.ai/. 3. upload images of each item. 5 minimum 4. train 5. verify via Quick test 6. publish

SIMULATION -Use the following login credentials as needed: To enter your username, place your cursor in the Sign in box and click on the username below. To enter your password, place your cursor in the Enter password box and click on the password below. Azure Username: [email protected] -Azure Password: XXXXXXXXXXXX -The following information is for technical support purposes only: Lab Instance: 12345678 -Task -You need to get insights from a video file located in the C:\Resources\Video\Media.mp4 folder. Save the insights to the C:\Resources\Video\Insights.json folder. To complete this task, sign in to the Azure Video Analyzer for Media at https://www.videoindexer.ai/ by using [email protected]

Step 1: Login - Browse to the Azure Video Indexer website and sign in. URL: https://www.videoindexer.ai/Login [email protected] - Step 2: Create a project from your video You can create a new project directly from a video in your account. 1. Go to the Library tab of the Azure Video Indexer website. 2. Open the video that you want to use to create your project. On the insights and timeline page, select the Video editor button. Folder: C:\Resources\Video\Media.mp4 This takes you to the same page that you used to create a new project. Unlike the new project, you see the timestamped insights segments of the video, that you had started editing previously. Step 3: Save the insights to the C:\Resources\Video\Insights.json folder.

SIMULATION -Use the following login credentials as needed: To enter your username, place your cursor in the Sign in box and click on the username below. To enter your password, place your cursor in the Enter password box and click on the password below. Azure Username: [email protected] -Azure Password: XXXXXXXXXXXX -The following information is for technical support purposes only: Lab Instance: 12345678 - Task -You plan to analyze stock photography and automatically generate captions for the images. You need to create a service in Azure to analyze the images. The service must be named caption12345678 and must be in the East US Azure region. The solution must use the Free pricing tier. In the C:\Resources\Caption\Params.json folder, enter the value for Key 1 and the endpoint for the new service. To complete this task, sign in to the Azure portal.

Step 1: Provision a Cognitive Services resource If you don't already have one in your subscription, you'll need to provision a Cognitive Services resource. 1. Open the Azure portal at https://portal.azure.com, and sign in using the Microsoft account associated with your Azure subscription. 2. Select the Create a resource button, search for cognitive services, and create a Cognitive Services resource with the following settings: Subscription: Your Azure subscription Resource group: Choose or create a resource group (if you are using a restricted subscription, you may not have permission to create a new resource group - use the one provided) Region: East US Azure region - Name: caption12345678 - Pricing tier: Free F0 - 3. Select the required checkboxes and create the resource. Wait for deployment to complete, and then view the deployment details. 4. When the resource has been deployed, go to it and view its Keys and Endpoint page. You will need the endpoint and one of the keys from this page in the next procedure. Step 2: Save Key and Endpoint values in Params.jsonOpen the configuration file, C:\Resources\Caption\Params.json. and update the configuration values it contains to reflect the endpoint and an authentication key for your cognitive services resource. Save your changes. //comment create a Computer Vision service

SIMULATION -You need to create a Form Recognizer resource named fr12345678.Use the Form Recognizer sample labeling tool at https://fott-2-1.azurewebsites.net/ to analyze the invoice located in the C:\Resources\Invoices folder. Save the results as C:\Resources\Invoices\Results.json. To complete this task, sign in to the Azure portal and open the Form Recognizer sample labeling tool.

Step 1: Sign in to the Azure Portal. Step 2: Navigate to the Form Recognizer Sample Tool (at https://fott-2-1.azurewebsites.net) Step 3: On the sample tool home page select Use prebuilt model to get data. Step 4: Select the Form Type you would like to analyze from the dropdown window. Step 5: In the Source: URL field, paste the selected URL and select the Fetch button. Step 6: In the Choose file for analysis use the file in the C:\Resources\Invoices folder and select the Fetch button. Step 7: Select Run analysis. The Form Recognizer Sample Labeling tool will call the Analyze Prebuilt API and analyze the document. Step 8: View the results - see the key-value pairs extracted, line items, highlighted text extracted and tables detected. Step 9: Save the results as C:\Resources\Invoices\Results.json.

You are developing an internet-based training solution for remote learners. Your company identifies that during the training, some learners leave their desk for long periods or become distracted. You need to use a video and audio feed from each learner's computer to detect whether the learner is present and paying attention. The solution must minimize development effort and identify each learner. Which Azure Cognitive Services service should you use for each requirement? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. From a learner's video feed, verify whether the learner is present: a)face b)speech c)text Analytics From a learner's facial expression in the video feed, verifz whether the learner is paying attention: a)face b)speech c)text Analytics From a learner's audio feed, detect whether the learner is talking: a)face b)speech c)text Analytics

a,a,b

You are developing a streaming Speech to Text solution that will use the Speech SDK and MP3 encoding. You need to develop a method to convert speech to text for streaming MP3 data. How should you complete the code? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. Hot Area: var audioFormat = a)AudioConfig.SetProperty b)AudioStreamFormat.GetCompressedFormat c)AudioStreamFormat.GetWaveFormatPCM d)PullAudioInputStream (AudioStreamContainerFormat.MP3); var speechConfig = SpeechConfig.FromSubscription ("18c51a87-3a69-47a8-aedc-a54745f708a1", "westus"); var audioConfig = AudioConfig. FromStreamInput (pushStream, audioFormat); using (var recognizer = new e)Keyword Recognizer f)SpeakerRecognizer g)SpeechRecognizer h)SpeechSynthesizer (speechConfig, audioConfig)) {var result = await recognizer.RecognizeOnceAsync();var text = result.Text;}

b)AudioStreamFormat.GetCompressedFormat g)SpeechRecognizer

You are building an app that will process incoming email and direct messages to either French or English language support teams. Which Azure Cognitive Services API should you use? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. https:// a. api.cognitive.microsofttranslator.com b. eastus.api.cognitive.microsoft.com c. portal.azure.com pokracovanie: d. /text/analytics/v3.1/entities/recognition/general e. /text/analytics/v3.1/languages f. /translator/text/v3.0/translate?to=en g. /translator/text/v3.0/translate?to=fr

b. e.

HOTSPOT- You have an Azure subscription that has the following configurations: • Subscription ID: 8d3591aa-96b8-4737-ad09-00f9b1ed35ad • Tenant ID: 3edfe572-cb54-3ced-ae12-c5c177f39a12 You plan to create a resource that will perform sentiment analysis and optical character recognition (OCR). You need to use an HTTP request to create the resource in the subscription. The solution must use a single key and endpoint. How should you complete the request? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. Answer Area https://management.azure.com/ a. subscriptions/3edfe572-cb54-3ced-ae12-c5c177f39a12 b. subscriptions/8d3591aa-96b8-4737-ad09-00f9b1ed35ad c. tenant/3edfe572-cb54-3ced-ae12-c5c177f39a12 d. tenant/8d3591aa-96b8-4737-ad09-00f9b1ed35ad /resourceGroups/OCRProject/providers/ e. Microsoft.ApiManagement f. Microsoft.CognitiveServices g. Microsoft.ContainerService h. Microsoft.KeyVault /accounts/CS1?api-version-2021-10-01

b. f.

You plan to deploy a containerized version of an Azure Cognitive Services service that will be used for text analysis. You configure https://contoso.cognitiveservices.azure.com as the endpoint URI for the service, and you pull the latest version of the Text Analytics Sentiment Analysis container. You need to run the container on an Azure virtual machine by using Docker. How should you complete the command? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. Hot Area: docker run --rm it -p 5000:5000 --memory 8g --cpus 1 \ a) http://contoso.blob.core.windows.net b) https://contoso.cognitive services.azure.com c) mcr.microsoft.com/azure-cognitive-services/textanalytics/keyphrase d) d)mcr.microsoft.com/azure-cognitive-services/textanalytics/sentiment Eula-accept \ Billing= e) http://contoso.blob.core.windows.net f) https://contoso.cognitive services.azure.com g)mcr.microsoft.com/azure-cognitive-services/textanalytics/keyphrase h)mcr.microsoft.com/azure-cognitive-services/textanalytics/sentiment ApiKey=xxxxxx

d) f)