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Microsoft AI-102 Exam (page: 5)
Microsoft Designing and Implementing a Azure AI Solution
Updated on: 02-Jan-2026

Viewing Page 5 of 67
AI-102 PDF 356 Questions

You are building a language model by using a Language Understanding (classic) service.
You create a new Language Understanding (classic) resource.
You need to add more contributors.
What should you use?

  1. a conditional access policy in Azure Active Directory (Azure AD)
  2. the Access control (IAM) page for the authoring resources in the Azure portal
  3. the Access control (IAM) page for the prediction resources in the Azure portal

Answer(s): B

Explanation:


Reference:

https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-how-to-collaborate



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 migrate to a Cognitive Search service that uses a higher tier.
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



DRAG DROP (Drag and Drop is not supported)
You need to develop an automated call handling system that can respond to callers in their own language. The system will support only French and English.
Which Azure Cognitive Services service should you use to meet each requirement? To answer, drag the appropriate services to the correct requirements. Each service may be used once, more than once, or not at all. You may need to drag the split bat between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Select and Place:

  1. See Explanation section for answer.

Answer(s): A

Explanation:


Box 1: Text Analytics
The Language Detection feature of the Azure Text Analytics REST API evaluates text input for each document and returns language identifiers with a score that indicates the strength of the analysis.
Incorrect Answers:
Speaker Recognition which accurately verifies and identifies speakers by their unique voice characteristics.
Box 2: Translator
Translator is a cloud-based neural machine translation service that is part of the Azure Cognitive Services family of REST APIs. Translator can be used with any operating system and powers many Microsoft products and services used by thousands of businesses worldwide to perform language translation and other language-related operations.


Reference:

https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-language-detection https://docs.microsoft.com/en-us/azure/cognitive-services/translator/translator-overview



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?

  1. the FormRecognizerClient client and the StartRecognizeContentFromUri method
  2. the FormTrainingClient client and the StartRecognizeContentFromUri method
  3. the FormRecognizerClient client and the StartRecognizeReceiptsFromUri method
  4. the FormTrainingClient client and the StartRecognizeReceiptsFromUri method

Answer(s): C

Explanation:

To analyze receipts from a URL, use the StartRecognizeReceiptsFromUri method
Example code:
private static async Task AnalyzeReceipt(
FormRecognizerClient recognizerClient, string receiptUri)
{
RecognizedFormCollection receipts = await recognizerClient.StartRecognizeReceiptsFromUri(new Uri(receiptUrl)).WaitForCompletionAsync();


Reference:

https://docs.microsoft.com/en-us/azure/applied-ai-services/form-recognizer/quickstarts/client-library



You have a collection of 50,000 scanned documents that contain text.
You plan to make the text available through Azure Cognitive Search.
You need to configure an enrichment pipeline to perform optical character recognition (OCR) and text analytics. The solution must minimize costs.
What should you attach to the skillset?

  1. a new Computer Vision resource
  2. a free (Limited enrichments) Cognitive Services resource
  3. an Azure Machine Learning Designer pipeline
  4. a new Cognitive Services resource that uses the S0 pricing tier

Answer(s): D

Explanation:

The Computer Vision API uses text recognition APIs to extract and recognize text information from images. Read uses the latest recognition models, and is optimized for large, text-heavy documents and noisy images.


Reference:

https://docs.microsoft.com/en-us/azure/architecture/solution-ideas/articles/cognitive-search-with-skillsets



Viewing Page 5 of 67



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