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You can get a sense of the actual AI-102 exam by attempting our AI-102 practice tests. Desktop and web-based practice exams are identical to the real AI-102 exam and simulate the AI-102 exam environment. Practice exams (desktop and web-based) of can be customized according to your needs. One benefit of taking AI-102 Practice Tests multiple times is that it enables you to concentrate on your weak areas.

Microsoft AI-102 Certification Exam is a challenging exam that requires a lot of preparation and hands-on experience with Azure services. Candidates who pass AI-102 exam demonstrate their skills in designing and implementing AI solutions using Azure services, which is highly valued in the IT industry. Designing and Implementing a Microsoft Azure AI Solution certification is an excellent way for professionals to demonstrate their expertise in AI and advance their career in this field.

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Microsoft AI-102 is a challenging exam that requires significant preparation and experience with Azure and AI technologies. Candidates must be able to design and implement solutions that leverage Azure's powerful AI services, as well as optimize and monitor these solutions for maximum efficiency and effectiveness.

Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q292-Q297):

NEW QUESTION # 292
You are building an agent by using the Azure Al Foundry Agent Service.
You need to ensure that the agent can access publicly accessible data that was released during the past 90 days.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 293
You have an app that uses the AI Language custom question answering service.
You need to ad alternatives for the word testing by using the Authoring API.
How should you complete the JSON payload? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:


NEW QUESTION # 294
You are reviewing the design of a chatbot. The chatbot includes a language generation file that contains the following fragment.
# Greet(user)
- ${Greeting()}, ${user.name}
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/composer/how-to-ask-for-user-input


NEW QUESTION # 295
Hotspot Question
You have an Azure subscription that contains an Azure AI Content Safety resource.
You are building a social media messaging app.
You need to build a solution that will analyze messages and flag messages that contain explicit content.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Box 1: AnalyzeTextOptions
Analyze text content (C#)
Get started with the Content Safety Studio, REST API, or client SDKs to do basic text moderation. The Azure AI Content Safety service provides you with AI algorithms for flagging objectionable content.
Box 2: client.AnalyzeText(request)
Reference:
https://learn.microsoft.com/en-us/azure/ai-services/content-safety/quickstart-text


NEW QUESTION # 296
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 develop an application to identify species of flowers by training a Custom Vision model. You receive images of new flower species.
You need to add the new images to the classifier.
Solution: You add the new images, and then use the Smart Labeler tool.
Does this meet the goal?

Answer: A

Explanation:
Explanation
The model need to be extended and retrained.
Note: Smart Labeler to generate suggested tags for images. This lets you label a large number of images more quickly when training a Custom Vision model.


NEW QUESTION # 297
......

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