Online AI-901 Version & Free AI-901 Test Questions

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Microsoft AI-901 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Implement AI solutions by using Microsoft Foundry: This domain is hands-on and focuses on building and deploying AI solutions using the Microsoft Foundry platform and its associated tools. It spans generative AI apps, text and speech processing, computer vision, and document intelligence all implemented through the Foundry portal and SDK.
Topic 2
  • Identify AI concepts and capabilities: This domain covers the foundational knowledge of AI from ethical principles and responsible design to understanding how AI models work and what kinds of tasks they can perform. It also explores the full range of AI workloads including generative AI, computer vision, speech, and information extraction.

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Microsoft Azure AI Fundamentals Sample Questions (Q73-Q78):

NEW QUESTION # 73
Select the answer that correctly completes the sentence.

Answer:

Explanation:

Explanation:

The completed sentence is:
To define an agent ' s role and behaviors, you must configure a system prompt for the agent.
In Microsoft Foundry / Azure AI agent scenarios, the system prompt, also referred to as system instructions, defines how the agent should behave, what role it should follow, and what constraints it must observe.
The other options are incorrect:
deployment slot relates to hosting/deployment routing, not agent behavior.
embedding index is used for vector search or retrieval scenarios, not defining the agent's role.
fine tuning job changes or adapts model behavior through training, but it is not the standard configuration used to define an agent's role and behavior at runtime.
Therefore, the correct answer is system prompt.


NEW QUESTION # 74
You have a Microsoft Foundry project that contains a vision-enabled model deployment.
You use the Azure OpenAI Responses API to send a prompt to the model.
You need to provide an image for analysis.
Which content item should you include in the request?

Answer: C

Explanation:
When sending an image for analysis using the Azure OpenAI Responses API within a Microsoft Foundry project, you must include a content item object with the type input_image in the message payload.
Required Content Object Structure
Unlike the standard Chat Completions API (which uses type: "image_url"), the Responses API explicitly structures a multimodal image input as a separate block with the following properties:
type: Must be explicitly set to "input_image".
image_url: A dictionary or a direct parameter containing the target location of the image.
Reference:
https://learn.microsoft.com/en-us/azure/foundry/openai/how-to/responses


NEW QUESTION # 75
Hotspot Question
Select the answer that correctly completes the sentence.

Answer:

Explanation:


NEW QUESTION # 76
Which type of Azure AI workload should you use to create illustrations based on the text of an article?

Answer: A

Explanation:
Using generative AI is a fast and effective way to create illustrations from an article text. Tools like DALL-E 3, Midjourney, and Stable Diffusion can turn written words into custom pictures in seconds.
How to Do It
Copy the main text or a key paragraph from your article.
Write a short prompt that describes the mood, style, and main subject.
Paste your prompt into an AI image tool to generate the art.
Pick the best image and download it for your post.
Reference:
https://dl.gi.de/bitstreams/4d7d68a5-2e94-4994-9f8f-c5119abccd5e/download


NEW QUESTION # 77
Hotspot Question
Select the answer that correctly completes the sentence.

Answer:

Explanation:

Explanation:
Box: natural language processing
The interactive answering of questions entered by a user as part of an application is a direct example of natural language processing (NLP).
How NLP Powers Interactive Q&A
Text interpretation: The system uses linguistic rules and machine learning models to read and interpret the user's typed input.
Intent recognition: It figures out what the user wants or needs by analyzing the meaning behind the words.
Response generation: It formulates and delivers a human-like reply back through the application interface.
Reference:
https://www.gauthmath.com/solution/1800845210023942/The-interactive-answering-of-questions-entered-by-a-user-as-part-of-an-applicati


NEW QUESTION # 78
......

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