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Microsoft AI-102 Exam

Exam Name: Designing and Implementing a Microsoft Azure AI Solution
Exam Code: AI-102
Related Certification(s): Microsoft Azure AI Engineer Associate Certification
Certification Provider: Microsoft
Number of AI-102 practice questions in our database: 267 (updated: Jun. 13, 2024)
Expected AI-102 Exam Topics, as suggested by Microsoft :
  • Topic 1: Plan and manage an Azure AI solution: This exam topic covers selecting the appropriate Azure AI service; it covers how to plan, create, and deploy an Azure AI service and how to manage, monitor, and secure an Azure AI service.
  • Topic 2: Implement content moderation solutions: This section of the exam covers creating solutions for content delivery that involve deploying a text moderation solution with Azure AI Content Safety.
  • Topic 3: Implement computer vision solutions: This exam topic covers analyzing images, implementing custom computer vision models by using Azure AI Vision and analyzing videos.
  • Topic 4: Implement natural language processing solutions: This section of the exam covers examining text by using Azure AI-Language, processing speech by using Azure AI Speech, translating language, and deploying a language understanding model by using Azure AI-Language.
  • Topic 5: Implement knowledge mining and document intelligence solutions: This topic of the exam discusses implementing an Azure AI Search solution and implementing an Azure AI Document Intelligence solution.
  • Topic 6: Implement generative AI solutions: This section of the exam covers using Azure OpenAI Service to generate content and optimize generative AI.
Disscuss Microsoft AI-102 Topics, Questions or Ask Anything Related

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Free Microsoft AI-102 Exam Actual Questions

Note: Premium Questions for AI-102 were last updated On Jun. 13, 2024 (see below)

Question #1

You have an Azure subscription that contains a multi-service Azure Cognitive Services Translator resource named Translator1.

You are building an app that will translate text and documents by using Translator1.

You need to create the REST API request for the app.

Which headers should you include in the request?

Reveal Solution Hide Solution
Correct Answer: B

Question #2

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 are building a chatbot that will use question answering in Azure Cognitive Service for Language.

You upload Doc1.pdf and train that contains a product catalogue and a price list.

During testing, users report that the chatbot responds correctly to the following question: What is the price of ?

The chatbot fails to respond to the following question: How much does cost?

You need to ensure that the chatbot responds correctly to both questions.

Solution: from Language Studio, you create an entity for price, and then retrain and republish the model.

Does this meet the goal?

Reveal Solution Hide Solution
Correct Answer: B

Question #3

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 are building a chatbot that will use question answering in Azure Cognitive Service for Language.

You have a PDF named Doc1.pdf that contains a product catalogue and a price list

You upload Doc1.pdf and train the model.

During testing, users report that the chatbot responds correctly to the following question: What is the price of ?

The chatbot fails to respond to the following question: How much does < product > cost?

You need to ensure that the chatbot responds correctly to both questions.

Solution: From Language Studio, you add alternative phrasing to the question and answer pair, and then retrain and republish the model.

Does this meet the goal?

Reveal Solution Hide Solution
Correct Answer: A

Question #4

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 are building a chatbot that will use question answering in Azure Cognitive Service for Language.

You upload Doc1.pdf and train that contains a product catalogue and a price list.

During testing, users report that the chatbot responds correctly to the following question: What is the price of ?

The chatbot fails to respond to the following question: How much does cost?

You need to ensure that the chatbot responds correctly to both questions.

Solution: from Language Studio, you create an entity for price, and then retrain and republish the model.

Does this meet the goal?

Reveal Solution Hide Solution
Correct Answer: B

Question #5

You are building a chatbot for a travel agent. The chatbot will use the Azure OpenAI GPT 3.5 model and will be used to make travel reservations.

You need to maximize the accuracy of the responses from the chatbot.

What should you do?

Reveal Solution Hide Solution
Correct Answer: A


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