DRAG DROP -
Match the types of machine learning to the appropriate scenarios.
To answer, drag the appropriate machine learning type from the column on the left to its scenario on the right. Each machine learning type may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Select and Place:
 

HOTSPOT
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You have an app that identifies birds in images. The app performs the following tasks:
•	Identifies the location of the birds in the image
•	Identifies the species of the birds in the image
Which type of computer vision does each task use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
 

HOTSPOT
-
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
 

DRAG DROP
-
Match the Azure Cognitive Services to the appropriate actions.
To answer, drag the appropriate service from the column on the left to its action on the right. Each service may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
 

You have a security system that analyzes images from CCTV to provide authorized staff entry into restricted area.
Which type of computer vision does the system use?

A. optical character recognition (OCR)

B. semantic segmentation

C. facial detection and facial recognition

D. image analysis

HOTSPOT
-
Select the answer that correctly completes the sentence.
 

Which AI service can you use to extract intent from a user input such as “Call me back later”?

A. Azure Cognitive Search

B. Translator

C. Language

D. Speech

In which two scenarios can you use the Form Recognizer service? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

A. Identify the retailer from a receipt

B. Translate from French to English

C. Extract the invoice number from an invoice

D. Find images of products in a catalog

DRAG DROP -
Match the types of computer vision workloads to the appropriate scenarios.
To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Select and Place:
 

HOTSPOT
-
To complete the sentence, select the appropriate option in the answer area.
 

Which Azure Cognitive Services service can be used to identify documents that contain sensitive information?

A. Custom Vision

B. Conversational Language Understanding

C. Form Recognizer

HOTSPOT -
To complete the sentence, select the appropriate option in the answer area.
Hot Area:
 

HOTSPOT -
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Hot Area:
 

HOTSPOT -
You have a database that contains a list of employees and their photos.
You are tagging new photos of the employees.
For each of the following statements select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Hot Area:
 

DRAG DROP
-
Match the principles of responsible AI to the appropriate descriptions.
To answer, drag the appropriate principle from the column on the left to its description on the right. Each principle 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.
 

Which statement is an example of a Microsoft responsible AI principle?

A. AI systems must use only publicly available data

B. AI systems must be transparent and inclusive

C. AI systems must keep personal details public

D. AI systems must protect the interests of the company

You are developing a system to predict the prices of insurance for drivers in the United Kingdom.
You need to minimize bias in the system.
What should you do?

A. Remove information about protected characteristics from the data before sampling.

B. Take a training sample that is representative of the population in the United Kingdom.

C. Create a training dataset that uses data from global insurers.

D. Take a completely random training sample.

Which service should you use to extract text, key/value pairs, and table data automatically from scanned documents?

A. Custom Vision

B. Face

C. Form Recognizer

D. Language

DRAG DROP -
Match the Microsoft guiding principles for responsible AI to the appropriate descriptions.
To answer, drag the appropriate principle from the column on the left to its description on the right. Each principle may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Select and Place:
 

You use Azure Machine Learning designer to publish an inference pipeline.
Which two parameters should you use to access the web service? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. the model name

B. the training endpoint

C. the authentication key

D. the REST endpoint

HOTSPOT -
Select the answer that correctly completes the sentence.
 

HOTSPOT
-
Select the answer that correctly completes the sentence.
 

You have a solution that analyzes social media posts to extract the mentions of city names and the city names discussed most frequently.
Which type of natural language processing (NLP) workload does the solution use?

A. speech recognition

B. sentiment analysis

C. key phrase extraction

D. entity recognition

HOTSPOT
-
For each of the following statement, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
 

HOTSPOT
-
Select the answer that correctly completes the sentence.
 

DRAG DROP -
You need to use Azure Machine Learning designer to build a model that will predict automobile prices.
Which type of modules should you use to complete the model? To answer, drag the appropriate modules to the correct locations. Each module 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.
Select and Place:
 

What is an example of the Microsoft responsible AI principle of transparency?

A. ensuring that opportunities are allocated equally to all applicants

B. helping users understand the decisions made by an AI system

C. ensuring that developers are accountable for the solutions they create

D. ensuring that the privileged data of users is stored in a secure manner

DRAG DROP
-
Match the machine learning models to the appropriate descriptions.
To answer, drag the appropriate model from the column on the left to its description on the right. Each model may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
 

HOTSPOT -
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Hot Area:
 

HOTSPOT
-
Select the answer that correctly completes the sentence.
 

You need to build an app that will read recipe instructions aloud to support users who have reduced vision.
Which version service should you use?

A. Language service

B. Translator

C. Speech

D. Personalizer

HOTSPOT -
To complete the sentence, select the appropriate option in the answer area.
Hot Area:
 

Which type of machine learning should you use to identify groups of people who have similar purchasing habits?

A. classification

B. regression

C. clustering

You are developing a natural language processing solution in Azure. The solution will analyze customer reviews and determine how positive or negative each review is.
This is an example of which type of natural language processing workload?

A. language detection

B. sentiment analysis

C. key phrase extraction

D. entity recognition

HOTSPOT -
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Hot Area:
 

You have insurance claim reports that are stored as text.
You need to extract key terms from the reports to generate summaries.
Which type of AI workload should you use?

A. anomaly detection

B. natural language processing

C. computer vision

D. knowledge mining

HOTSPOT
-
You have a large dataset that contains motor vehicle sales data.
You need to train an automated machine learning (automated ML) model to predict vehicle sale values based on the type of vehicle.
Which task should you select? To answer, select the appropriate task in the answer area.
NOTE: Each correct selection is worth one point.
 

HOTSPOT
-
Select the answer that correctly completes the sentence.
 

You need to identify groups of rows with similar numeric values in a dataset.
Which type of machine learning should you use?

A. clustering

B. regression

C. classification

HOTSPOT
-
Select the answer that correctly completes the sentence.
 

You need to make the written press releases of your company available in a range of languages.
Which service should you use?

A. Speech

B. Language

C. Translator

D. Personalizer

You need to develop a web-based AI solution for a customer support system. Users must be able to interact with a web app that will guide them to the best resource or answer.
Which service should you use?

A. Custom Vision

B. QnA Maker

C. Translator Text

D. Face

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? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

A. Use a graphical user interface (GUI) to run automated machine learning experiments.

B. Create a compute instance to use as a workstation.

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

D. Create a dataset from a comma-separated value (CSV) file.

You have a dataset.
You need to build an Azure Machine Learning classification model that will identify defective products.
What should you do first?

A. Load the dataset.

B. Create a clustering model.

C. Split the data into training and testing datasets.

D. Create a classification model.

HOTSPOT -
To complete the sentence, select the appropriate option in the answer area.
Hot Area:
 

DRAG DROP -
You plan to apply Text Analytics API features to a technical support ticketing system.
Match the Text Analytics API features to the appropriate natural language processing scenarios.
To answer, drag the appropriate feature from the column on the left to its scenario on the right. Each feature may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Select and Place:
 

You need to identify street names based on street signs in photographs.
Which type of computer vision should you use?

A. object detection

B. optical character recognition (OCR)

C. image classification

D. facial recognition

What are three Microsoft guiding principles for responsible AI? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

A. knowledgeability

B. decisiveness

C. inclusiveness

D. fairness

E. opinionatedness

F. reliability and safety

You plan to develop a bot that will enable users to query a knowledge base by using natural language processing.
Which two services should you include in the solution? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. Language Service

B. Azure Bot Service

C. Form Recognizer

D. Anomaly Detector

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

A. classification

B. regression

C. clustering