Free AI-102 Exam Braindumps
Designing and Implementing a Microsoft Azure AI Solution Questions 1–40 (page: 24)

Updated On: 10-Feb-2026

HOTSPOT (Drag and Drop is not supported)
You are developing an app that will use the Azure AI Vision API to analyze an image.

You need configure the request that will be used by the app to identify whether an image is clipart or a line drawing.

How should you complete the request? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

  1. See Explanation section for answer.

Answer(s): A

Explanation:



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DRAG DROP (Drag and Drop is not supported)
You are planning the product creation project.
You need to recommend a process for analyzing videos.

Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. (Choose four.)

Select and Place:

  1. See Explanation section for answer.

Answer(s): A

Explanation:




Scenario: All videos must have transcripts that are associated to the video and included in product descriptions.
Product descriptions, transcripts, and all text must be available in English, Spanish, and Portuguese.

Step 1: Upload the video to blob storage
Given a video or audio file, the file is first dropped into a Blob Storage. T

Step 2: Index the video by using the Video Indexer API.
When a video is indexed, Video Indexer produces the JSON content that contains details of the specified video insights. The insights include: transcripts, OCRs, faces, topics, blocks, etc.
Step 3: Extract the transcript from the Video Indexer API. Step 4: Translate the transcript by using the Translator API.


Reference:

https://azure.microsoft.com/en-us/blog/get-video-insights-in-even-more-languages/ https://docs.microsoft.com/en-us/azure/media-services/video-indexer/video-indexer-output-json-v2



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HOTSPOT (Drag and Drop is not supported)
You need to develop code to upload images for the product creation project. The solution must meet the accessibility requirements.

How should you complete the code? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
Hot Area:

  1. See Explanation section for answer.

Answer(s): A

Explanation:


Reference:

https://github.com/Azure-Samples/cognitive-services-dotnet-sdk-samples/blob/master/documentation-samples/quickstarts/ComputerVision/Program.cs



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DRAG DROP (Drag and Drop is not supported)
You are developing a solution for the Management-Bookkeepers group to meet the document processing requirements. The solution must contain the following components:

-A From Recognizer resource
-An Azure web app that hosts the Form Recognizer sample labeling tool
-The Management-Bookkeepers group needs to create a custom table extractor by using the sample labeling tool.

Which three actions should the Management-Bookkeepers group perform in sequence? To answer, move the appropriate cmdlets from the list of cmdlets to the answer area and arrange them in the correct order.
Select and Place:

  1. See Explanation section for answer.

Answer(s): A

Explanation:



Step 1: Create a new project and load sample documents
Create a new project. Projects store your configurations and settings.
Step 2: Label the sample documents
When you create or open a project, the main tag editor window opens.
Step 3: Train a custom model.
Finally, train a custom model.


Reference:

https://docs.microsoft.com/en-us/azure/applied-ai-services/form-recognizer/label-tool



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You are developing the knowledgebase.
You use Azure Video Analyzer for Media (previously Video Indexer) to obtain transcripts of webinars.
You need to ensure that the solution meets the knowledgebase requirements.
What should you do?

  1. Create a custom language model
  2. Configure audio indexing for videos only
  3. Enable multi-language detection for videos
  4. Build a custom Person model for webinar presenters

Answer(s): A

Explanation:

https://learn.microsoft.com/en-us/azure/azure-video-indexer/customize-language-model-overview
Azure Video Indexer supports automatic speech recognition through integration with the Microsoft Custom Speech Service. You can customize the Language model by uploading adaptation text, namely text from the domain whose vocabulary you'd like the engine to adapt to. Once you train your model, new words appearing in the adaptation text will be recognized, assuming default pronunciation, and the Language model will learn new probable sequences of words.


Reference:

https://docs.microsoft.com/en-us/azure/azure-video-analyzer/video-analyzer-for-media-docs/video-indexer-overview



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