AI-900 (PT. 2)

Yes Yes No Notes: Clustering = similarities

HOTSPOT For each of the following statements, select Yes if the statement is true. Organizing documents into groups based on similarities of the text contained in the documents is an example of clustering. YES/NO Grouping similar patients based on symptoms and diagnostic test results is an example of clustering. YES/NO Predicting whether a person will develop mild, moderate, or severe allergy symptoms based on pollen count is an example of clustering. YES/NO

Yes Yes No Note: You can make customizations through code but only with Python and R code.

HOTSPOT Select yes if the statement is correct. Azure Machine Learning designer provides a drag-and-drop visual canvas to build, test, and deploy machine learning models. YES/NO Azure Machine Learning designer enables you to save your progress as a pipeline draft. YES/NO Azure Machine Learning designer enables you to include custom JavaScript functions. YES/NO

Yes No No

HOTSPOT Select yes if the statement is correct. Labeling is the process of tagging training data with known values. YES/NO You should evaluate a model by using the same data used to train the model. YES/NO Accuracy is always the primary metric used to measure a model's performance. YES/NO

Yes Yes Yes

Select yes if the statement is true. Automated machine learning provides you with the ability to include custom Python scripts in a training pipeline. YES/NO Automated machine learning implements machine learning solutions without the need for programming experience. YES/NO Automated machine learning provides you with the ability to visually connect datasets and modules on an interactive canvas. YES/NO

to test the model by using data that was not used to train the model

When training a model, why should you randomly split the rows into separate subsets? - to train the model twice to attain better accuracy - to train multiple models simultaneously to attain better performance - to test the model by using data that was not used to train the model

Form Recognizer

Which service should you use to extract text, key/value pairs, and table data automatically from scanned documents? - Form Recognizer - Text Analytics - Language Understanding - Custom Vision

regression

Which type of machine learning should you use to predict the number of gift cards that will be sold next month? - classification - regression - clustering

- the trip distance of individual taxi journeys

You have a dataset that contains information about taxi journeys that occurred during a given period. You need to train a model to predict the fare of a taxi journey. What should you use as a feature? - the number of taxi journeys in the dataset - the trip distance of individual taxi journeys - the fare of individual taxi journeys - the trip ID of individual taxi journeys

- Education Level - Age

You need to predict the income range of a given customer by using the following dataset: First Name Last Name Age Edu Level Income Range Orlando Gee 45 University 25,000-50,000 Keith Harris 36 High School 25,000-50,000 Donna Carreras 52 University 50,000-75,000 Janet Gates 21 University 75,000-100,000 Lucy Harrington 68 High school 50,000-75,000 Which TWO fields should you use as features? - Education Level - Last Name - Age - Income Range - First Name

- regression Notes: predicting numerical values without a yes or no is regression

You need to predict the sea level in meters for the next 10 years. Which type of machine learning should you use? - classification - regression - clustering

- the authentication key - the REST endpoint

You use Azure Machine Learning designer to publish an inference pipeline. Which TWO parameters should you use to access the web service? - the model name - the training endpoint - the authentication key - the REST endpoint

features

HOTSPOT Complete the sentence with the correct term. Data values that influence the prediction of a model are called ____________. - dependent variables - features - identifiers - labels

Azure Kubernetes Service (AKS).

HOTSPOT Complete the sentence with the correct term. From Azure Machine Learning designer, to deploy a real-time inference pipeline as a service for others to consume, you must deploy the model to ________________. - a local web service. - Azure Container Instances. - Azure Kubernetes Service (AKS). - Azure Machine Learning compute.

regression Notes: In the most basic sense, regression refers to prediction of a numeric target. Linear regression attempts to establish a linear relationship between one or more independent variables and a numeric outcome, or dependent variable. You use this module to define a linear regression method, and then train a model using a labeled dataset. The trained model can then be used to make predictions.

HOTSPOT Complete the sentence with the correct term. Predicting how many hours of overtime a delivery person will work based on the number of orders received is an example of _____________. - classification - clustering - regression

Form Recognizer

HOTSPOT Complete the sentence with the correct term. The ability to extract subtotals and totals from a receipt is a capability of the ________ service. - Custom Vision - Form Recognizer - Ink Recognizer - Text Analytics

No Yes No Notes: No: By essence, a validation set is different from test set. Yes: This is the purpose of a validation set: to validate (or not) the model. No: A validation test doesn't test if all the train split of a dataset has been used to train the model. That's out of scope.

HOTSPOT For each of the following statements, select Yes if the statement is true. A validation set includes the set of input examples that will be used to train a mode. YES/NO A validation set can be used to determine how well a model predicts labels. YES/NO A validation set can be used to verify that all the training data was used to train the model. YES/NO

classification

A medical research project uses a large anonymized dataset of brain scan images that are categorized into predefined brain hemorrhage types. You need to use machine learning to support early detection of the different brain hemorrhage types in the images before the images are reviewed by a person. This is an example of which type of machine learning? - clustering - regression - classification

- Model evaluation - Feature engineering - Feature selection

Match the learning tasks to the appropriate scenarios. Each task may be used once, more than once, or not at all. Statements - Examining the values of a confusion matrix - Splitting a date into month, day, and year fields - Picking temperature and pressure to train a weather model Learning Types - Feature engineering - Feature selection - Model deployment - Model evaluation - Model training

classification

HOTSPOT Complete each sentence with the correct term. A banking system that predicts whether a loan will be repaid is an example of the _________ type of machine learning. - classification - regression - clustering

- adding and connecting modules on a visual canvas.

HOTSPOT Complete the sentence with the correct statement. Azure Machine Learning designer lets you create machine learning models by ______________________. - adding and connecting modules on a visual canvas. - automatically performing common data preparation tasks. - automatically selecting an algorithm to build the most accurate model. - using a code-first notebook experience.

Custom Vision

You are building a tool that will process images from retail stores and identify the products of competitors. The solution will use a custom model. Which Azure Cognitive Services service should you use? - Custom Vision - Form Recognizer - Face - Computer Vision

- Use a graphical user interface (GUI) to run automated machine learning experiments - Use a graphical user interface (GUI) to define and run machine learning experiments from Azure Machine Learning designer

You are evaluating whether to use a basic workspace or an enterprise workspace in Azure Machine Learning. What are TWO tasks that require an enterprise workspace? - Use a graphical user interface (GUI) to run automated machine learning experiments - Create a compute instance to use as a workstation - Use a graphical user interface (GUI) to define and run machine learning experiments from Azure Machine Learning designer - Create a dataset from a comma-separated value (CSV) file.