Microsoft Microsoft Certifications AI-100 Questions & Answers

• Question 111:

  Von have an Azure SQL database w Azure Data Lake Storage Gen 2 account, and an API developed by using Azure Machine Learning Studio.

  You need to ingest data once daily from the database, score each row by using the API, and write the data to the storage account.

  Solution: You create a scheduled Jupyter Notebook in Azure Databricks.

  Does this meet the goal?

  A. Yes

  B. No

  Correct Answer: B

• Question 112:

  You have an Azure SQL database, an Azure Data Lake Storage Gen 2 account, and an API developed by using Azure Machine Learning Studio.

  You need to ingest data once daily from the database. score each row by using the API, and write the data to the storage account.

  Solution: You create an Azure Data Factory pipeline that contains a Jupyter notebook activity.

  Does this meet the goal?

  A. Yes

  B. No

  Correct Answer: A

• Question 113:

  You plan to deploy a bot that will use the following Azure Cognitive Services:

  1.

  Language Understanding (LUIS)

  2.

  Text Analytics

  Your company's compliance policy states that all data used by the bot must be stored in the on-premises network.

  You need to recommend a compute solution to support the planned bot.

  What should you include in the recommendation?

  A. an Azure Databricks cluster

  B. a Docker container

  C. Microsoft Machine Learning Server

  D. the Azure Machine Learning service

  Correct Answer: B

  You can deploy LUIS on-premise as Docker Image in a container.

  Note: Azure Cognitive LUIS service can be deployed on any hardware or on any host (Linus, Windows and IOS). This feature allows enterprises to quickly train the LUIS model on the cloud and deploy it anywhere which makes Cognitive services to be available truly to every person and every Organization - "Democratizing AI".

  Reference: https://www.linkedin.com/pulse/deploying-microsoft-azure-cognitive-luis-service-on-premise-s

• Question 114:

  Your company uses several bots. The bots use Azure Bot Service.

  Several users report that some of the bots fail to return the expected results.

  You plan to view the service health of the bot service.

  You need to request the appropriate role to access the service health of the bot service. The solution must use the principle of least privilege.

  Which role should you request?

  A. The Contributor role on the Azure subscription

  B. The Reader role on the bot service

  C. The Owner role on the bot service

  D. The Reader role on the Azure subscription

  Correct Answer: B

  Use the Reader role on the bot service to limit access and scope.

  Note: Access management for cloud resources is a critical function for any organization that is using the cloud. Azure role-based access control (Azure RBAC) helps you manage who has access to Azure resources, what they can do with

  those resources, and what areas they have access to.

  Azure includes several built-in roles that you can use. The Reader Role can view existing Azure resources.

  Scope is the set of resources that the access applies to. When you assign a role, you can further limit the actions allowed by defining a scope. In Azure, you can specify a scope at multiple levels: management group, subscription, resource

  group, or resource.

  Reference:

  https://docs.microsoft.com/en-us/azure/role-based-access-control/overview

• Question 115:

  You build an internal application that uses the Computer Vision API.

  You need to ensure that only specific employees can access the application.

  What should you include in the solution?

  A. a single-service subscription key

  B. user principals in Azure Active Directory (Azure AD)

  C. service principals in Azure Active Directory (Azure AD)

  D. a multi-service subscription key

  Correct Answer: C

  The app requires an Azure service principal account to deploy services to your Azure subscription. A service principal lets you delegate specific permissions to an app using role-based access control.

  Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/logo-detector-mobile

• Question 116:

  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, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

  You have an app named App1 that uses the Face API.

  App1 contains several PersonGroup objects.

  You discover that a PersonGroup object for an individual named Ben Smith cannot accept additional entries. The PersonGroup object for Ben Smith contains 10,000 entries.

  You need to ensure that additional entries can be added to the PersonGroup object for Ben Smith. The solution must ensure that Ben Smith can be identified by all the entries.

  Solution: You delete 1,000 entries from the PersonGroup object for Ben Smith.

  Does this meet the goal?

  A. Yes

  B. No

  Correct Answer: B

• Question 117:

  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, 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 SQL database, an Azure Data Lake Storage Gen 2 account, and an API developed by using Azure Machine Learning Studio.

  You need to ingest data once daily from the database, score each row by using the API, and write the data to the storage account.

  Solution: You create an Azure Data Factory pipeline that contains the Machine Learning Batch Execution activity. Does this meet the goal?

  A. Yes

  B. No

  Correct Answer: A

  Using the Batch Execution Activity in an Azure Data Factory pipeline, you can invoke an Azure Machine Learning Studio (classic) web service to make predictions on the data in batch

  Reference: https://docs.microsoft.com/en-us/azure/data-factory/transform-data-using-machine-learning

• Question 118:

  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, 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 SQL database, an Azure Data Lake Storage Gen 2 account, and an API developed by using Azure Machine Learning Studio.

  You need to ingest data once daily from the database, score each row by using the API, and write the data to the storage account.

  Solution: You create a scheduled Jupyter Notebook in Azure Databricks.

  Does this meet the goal?

  A. Yes

  B. No

  Correct Answer: B

  We need to schedule the job in Azure Data Factory.

• Question 119:

  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, 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 SQL database, an Azure Data Lake Storage Gen 2 account, and an API developed by using Azure Machine Learning Studio.

  You need to ingest data once daily from the database, score each row by using the API, and write the data to the storage account.

  Solution: You create an Azure Data Factory pipeline that contains a Jupyter Notebook activity.

  Does this meet the goal?

  A. Yes

  B. No

  Correct Answer: B

• Question 120:

  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, 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 SQL database, an Azure Data Lake Storage Gen 2 account, and an API developed by using Azure Machine Learning Studio.

  You need to ingest data once daily from the database, score each row by using the API, and write the data to the storage account.

  Solution: You create an Azure Data Factory pipeline that contains a Machine Learning Execute Pipeline activity.

  Does this meet the goal?

  A. Yes

  B. No

  Correct Answer: B

  The Machine Learning Execute Pipeline activity enables batch prediction scenarios such as identifying possible loan defaults, determining sentiment, and analyzing customer behavior patterns.

  Reference: https://docs.microsoft.com/en-us/azure/data-factory/transform-data-machine-learning-service