Microsoft Role-based AI-102 Questions & Answers

• Question 41:

  You have the following data sources:

  Finance: On-premises Microsoft SQL Server database Sales: Azure Cosmos DB using the Core (SQL) API Logs: Azure Table storage HR: Azure SQL database

  You need to ensure that you can search all the data by using the Azure Cognitive Search REST API. What should you do?

  A. Configure multiple read replicas for the data in Sales.

  B. Mirror Finance to an Azure SQL database.

  C. Migrate the data in Sales to the MongoDB API.

  D. Ingest the data in Logs into Azure Sentinel.

  Correct Answer: B

  On-premises Microsoft SQL Server database cannot be used as an index data source.

  Note: Indexer in Azure Cognitive Search: : Automate aspects of an indexing operation by configuring a data source and an indexer that you can schedule or run on demand. This feature is supported for a limited number of data source types on Azure.

  Indexers crawl data stores on Azure. Azure Blob Storage Azure Data Lake Storage Gen2 (in preview) Azure Table Storage Azure Cosmos DB Azure SQL Database SQL Managed Instance SQL Server on Azure Virtual Machines

  Reference: https://docs.microsoft.com/en-us/azure/search/search-indexer-overview#supported-data-sources

• Question 42:

  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?

  A. Yes

  B. No

  Correct Answer: A

  https://docs.microsoft.com/en-us/azure/virtual-network/network-security-groups-overview#network-security-groups https://docs.microsoft.com/en-us/azure/virtual-network/virtual-networks-overview

• Question 43:

  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 Iu1.

  C. Host Iu1 in a container.

  D. Add Direct Line Speech to bot1.

  Correct Answer: D

  Inclusiveness: AI systems should empower everyone and engage people.

  Direct Line Speech is a robust, end-to-end solution for creating a flexible, extensible voice assistant. It is powered by the Bot Framework and its Direct Line Speech channel, that is optimized for voice-in, voice-out interaction with bots.

  Reference:

  https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/direct-line-speech

• Question 44:

  You have the following C# method for creating Azure Cognitive Services resources programmatically.

  

  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")

  Correct Answer: A

  https://azure.microsoft.com/en-us/pricing/details/cognitive-services/computer-vision/

• Question 45:

  Which database transaction property ensures that transactional changes to a database are preserved during unexpected operating system restarts?

  A. durability

  B. atomicity

  C. consistency

  D. isolation

  Correct Answer: A

• Question 46:

  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?

  A. Yes

  B. No

  Correct Answer: B

  Instead, you could migrate to a Cognitive Search service that uses a higher tier.

  Note: A simple fix to most throttling issues is to throw more resources at the search service (typically replicas for query-based throttling, or partitions for indexing-based throttling). However, increasing replicas or partitions adds cost, which is why it is important to know the reason why throttling is occurring at all.

  Reference: https://docs.microsoft.com/en-us/azure/search/search-performance-analysis

• Question 47:

  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 FormRecognizerClienc client and the ScarcRecognizeConcencFromUri method

  B. the FormTrainingClienc client and the ScarcRecognizeContentFromUri method

  C. the FormRecognizerClienc client and the ScarcRecognizeReceipcsFromUri method

  D. the FormTrainingClient client and the ScarcRecognizeReceipcsFromUri method

  Correct Answer: C

  private static async Task AnalyzeReceipt(

  FormRecognizerClient recognizerClient, string receiptUri)

  {

  RecognizedFormCollection receipts = await recognizerClient.StartRecognizeReceiptsFromUri(new Uri(receiptUrl)).WaitForCompletionAsync();

• Question 48:

  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?

  A. Yes

  B. No

  Correct Answer: B

  Customer-managed key (CMK) encryption does not affect throttling.

  Instead, you could migrate to a Cognitive Search service that uses a higher tier.

  Note: A simple fix to most throttling issues is to throw more resources at the search service (typically replicas for query-based throttling, or partitions for indexing-based throttling). However, increasing replicas or partitions adds cost, which is

  why it is important to know the reason why throttling is occurring at all. Reference: https://docs.microsoft.com/en-us/azure/search/search-performance-analysis

• Question 49:

  You have an existing Azure Cognitive Search service. You have an Azure Blob storage account that contains millions of scanned documents stored as images and PDFs.

  You need to make the scanned documents available to search as quickly as possible. What should you do?

  A. Split the data into multiple blob containers. Create a Cognitive Search service for each container. Within each indexer definition, schedule the same runtime execution pattern.

  B. Split the data into multiple blob containers. Create an indexer for each container.

  Increase the search units. Within each indexer definition, schedule a sequential execution pattern.

  C. Create a Cognitive Search service for each type of document.

  D. Split the data into multiple virtual folders. Create an indexer for each folder. Increase the search units. Within each indexer definition, schedule the same runtime execution pattern.

  Correct Answer: D

  Reference: https://docs.microsoft.com/en-us/azure/search/search-howto-indexing-azure-blob-storage

• Question 50:

  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 build a language model by using a Language Understanding service. The language model is used to search for information on a contact list by using an intent named FindContact.

  A conversational expert provides you with the following list of phrases to use for training.

  Find contacts in London.

  Who do I know in Seattle? Search for contacts in Ukraine.

  You need to implement the phrase list in Language Understanding.

  Solution: You create a new entity for the domain.

  Does this meet the goal?

  A. Yes

  B. No

  Correct Answer: A

  The model should have an Entity "Location" that will help in finding the contacts. Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-concept-intent