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Microsoft AI-102 Exam Questions
Designing and Implementing a Microsoft Azure AI Solution (Page 8 )

Updated On: 21-Feb-2026
Page 8 of 61
PDF with 367 Questions

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?

  1. a projection group
  2. a table projection
  3. a file projection
  4. an object projection

Answer(s): B

Explanation:

Projections are the physical tables, objects, and files in a knowledge store that accept content from a Cognitive Search AI enrichment pipeline. If you're creating a knowledge store, defining and shaping projections is most of the work.

Objects is used when you need the full JSON representation of your data and enrichments in one JSON document. As with table projections, only valid JSON objects can be projected as objects, and shaping can help you do that.

Note: Form Recognizer analyzes your forms and documents, extracts text and data, maps field relationships as key-value pairs, and returns a structured JSON output. You quickly get accurate results that are tailored to your specific content without excessive manual intervention or extensive data science expertise.

Incorrect:
Not Tables: Tables is used for data that's best represented as rows and columns, or whenever you need granular representations of your data (for example, as data frames). Table projections allow you to define a schematized shape, using a Shaper skill or use inline shaping to specify columns and rows.
Not File: File is used when you need to save normalized, binary image files.


Reference:

https://docs.microsoft.com/en-us/azure/search/knowledge-store-projection-overview



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?

  1. Yes
  2. No

Answer(s): A

Explanation:

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



SIMULATION
You need to create a Text Analytics service named Text12345678, and then enable logging for Text12345678. The solution must ensure that any changes to Text12345678 will be stored in a Log Analytics workspace.

To complete this task, sign in to the Azure portal.

  1. See Explanation section for answer.

Answer(s): A

Explanation:

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: 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.
It can take up to two hours before logging data is available to query and analyze. So don't worry if you don't see anything right away.


Reference:

https://docs.microsoft.com/en-us/azure/cognitive-services/cognitive-services-apis-create-account
https://docs.microsoft.com/en-us/azure/cognitive-services/diagnostic-logging



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.

  1. See Explanation section for answer.

Answer(s): A

Explanation:

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.


Reference:

https://docs.microsoft.com/en-us/azure/cognitive-services/cognitive-services-apis-create-account
https://docs.microsoft.com/en-us/azure/search/search-get-started-portal



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.

  1. See Explanation section for answer.

Answer(s): A

Explanation:

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: captions12345678¨
Pricing tier: Free


Step 4: Click Review + create

(Step 5: Create a data source
In 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.)


Reference:

https://docs.microsoft.com/en-us/azure/search/search-create-service-portal
https://docs.microsoft.com/en-us/azure/search/cognitive-search-quickstart-ocr






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