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Microsoft AI-901 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
Topic 2
  • 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.

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Microsoft Azure AI Fundamentals Sample Questions (Q103-Q108):

NEW QUESTION # 103
You have a Microsoft Foundry project that contains a deployed generative AI model.
You need to develop an application by using the Microsoft Foundry SDK to send chat prompts to the deployed model.
Which information must the application include?

Answer: A

Explanation:
You can develop this application by combining the Microsoft Foundry SDK (azure-ai-projects) with token credentials to instantiate an OpenAI-compatible client, passing the project endpoint URL and your specific model deployment name to route your chat completions.
Reference:
https://learn.microsoft.com/en-us/azure/foundry/how-to/develop/sdk-overview


NEW QUESTION # 104
Select the answer that correctly completes the sentence.

Answer:

Explanation:


NEW QUESTION # 105
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:


NEW QUESTION # 106
Select the answer that correctly completes the sentence.

Answer:

Explanation:

Explanation:

The correct answer is natural language processing. In this scenario, a user communicates with a chatbot using ordinary human language, such as asking, "Will it rain today?" The chatbot must interpret the meaning and intent of the user ' s text, process the request, and formulate a natural-language response containing the relevant weather information. These are characteristic natural language processing (NLP) functions.
The current AI-901 study guide explicitly includes text analysis among the common AI workloads candidates must identify, and it also covers techniques for processing and interpreting human language. Microsoft documentation on conversational language understanding explains that conversational systems interpret user utterances to determine the user ' s intent and extract relevant information before the application performs an appropriate action.
Although the weather information itself may originate from a forecasting system, the scenario being tested centers on the chatbot interaction-understanding a natural-language question and responding conversationally. Therefore, prediction and forecasting is not the best classification of the complete interaction. Computer vision is also incorrect because no images or visual information are being analyzed.


NEW QUESTION # 107
Select the answer that correctly completes the sentence.

Answer:

Explanation:


NEW QUESTION # 108
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