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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Azure AI Fundamentals |
| Exam Number: | AI-900 |
| Passing Score: | 700 / 1000 |
| Exam Duration: | 45-60 |
| Exam Price: | USD 99 |
| Exam Format: | Multiple select, Match the service to use case, Drag and drop, Multiple choice, Scenario-based |
| Available Languages: | French, Japanese, German, Spanish, Indonesian (Indonesia), Korean, Portuguese (Brazil), Chinese (Simplified), English, Russian, Chinese (Traditional), Italian, Arabic (Saudi Arabia) |
| Real Exam Qty: | 40-60 |
| Related Certifications: | Microsoft Certified: Azure AI Fundamentals |
| Certificate Validity Period: | 1 year (renewable via free online assessment on Microsoft Learn) |
| Sample Questions: | Microsoft AI-901 Sample Questions |
| Exam Way: | Online (remote proctored via Pearson VUE) or at a Pearson VUE test center |
| Pre Condition: | No prerequisites. This exam is intended for both technical and non-technical backgrounds. Data science and software engineering experience are not required. Awareness of basic cloud concepts and client-server applications is beneficial. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/exams/ai-900 |
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NEW QUESTION # 52
Hotspot Question
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 # 53
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:
Explanation:
Statement 1: Azure Content Understanding in Foundry Tools can analyze only PDF documents. = No Azure Content Understanding is not limited to PDF documents. It can analyze different content types, including documents, forms, images, audio, and video.
Statement 2: Azure Content Understanding in Foundry Tools results are returned in the JSON format.
= Yes
Azure Content Understanding returns structured analysis output in JSON format.
Statement 3: Azure Content Understanding in Foundry Tools can extract structured fields from documents and forms. = Yes Azure Content Understanding can extract structured fields from documents and forms by using analyzers and schemas.
NEW QUESTION # 54
You need to compare the costs of large language models (LLMs) for a generative AI solution.
What should you use in the Microsoft Foundry portal?
Answer: B
Explanation:
To compare the costs, capabilities, and performance of large language models (LLMs) in the Foundry portal, you should use the Model leaderboard.
Why Use the Model Leaderboard
The leaderboard allows you to:
Compare models side-by-side: Evaluate multiple LLMs simultaneously for trade-offs regarding estimated costs, throughput, safety, and quality.
Make informed decisions: Select the most cost-effective model for specific workloads before committing to deployments, reducing the risk of expensive errors or overspending.
Reference:
https://learn.microsoft.com/en-us/azure/foundry/concepts/manage-costs
NEW QUESTION # 55
You plan to deploy a generative AI model to a Microsoft Foundry project in the East US Azure region. What should you check first?
Answer: D
Explanation:
Model availability should be checked first. You must confirm that the specific generative AI model is supported and offered in the East US region before checking your token rate limits or allocation quota, as a model cannot be deployed in a region where it does not exist.
Reference:
https://learn.microsoft.com/en-us/azure/foundry/foundry-models/quotas-limits
NEW QUESTION # 56
You have a Microsoft Foundry project that contains an agent named Agent1.
You need to ensure that Agent1 always calls an Azure function when the agent responds to user input.
To what should you set tool_choice for Agent1?
Answer: C
Explanation:
Yes, you should set tool_choice="required" if you want to force the model to pick a tool.
Reference:
https://learn.microsoft.com/en-us/azure/foundry/agents/concepts/tool-best-practice
NEW QUESTION # 57
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