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Microsoft AI-901 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Azure AI Fundamentals
Exam Number:AI-900
Related Certifications:Microsoft Certified: Azure AI Fundamentals
Certificate Validity Period:1 year (renewable via free online assessment on Microsoft Learn)
Exam Format:Multiple choice, Scenario-based, Multiple select, Match the service to use case, Drag and drop
Passing Score:700 / 1000
Real Exam Qty:40-60
Exam Duration:45-60
Exam Price:USD 99
Available Languages:Portuguese (Brazil), Russian, Italian, French, Arabic (Saudi Arabia), German, Japanese, English, Spanish, Chinese (Traditional), Chinese (Simplified), Indonesian (Indonesia), Korean
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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Microsoft AI-901 Prüfungsplan:

ThemaEinzelheiten
Thema 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.
Thema 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.

Microsoft Azure AI Fundamentals AI-901 Prüfungsfragen mit Lösungen (Q65-Q70):

65. Frage
Select the answer that correctly complete the sentence.

Antwort:

Begründung:


66. Frage
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.

Antwort:

Begründung:

Explanation:
Box 1: No
AI capabilities depend heavily on their training and architecture. While modern multimodal models handle both text and visual data, many specialized AI systems perform only one specific task or work exclusively with text, numbers, or audio.
Box 2: Yes
Vision-enabled generative AI models can absolutely extract text from images. These systems- often called Vision-Language Models (VLMs) or multimodal models-combine visual processing with language capabilities to read, understand, and extract text seamlessly from visual media.
Box 3: Yes
A multimodal model can process prompts that include both text and images. These advanced systems use separate encoders or unified architectures to understand and connect visual details from pictures with the meaning of words in a single task.
Reference:
https://bestarion.com/vision-llms-for-image-understanding-and-text-extraction/


67. Frage
What are two purposes of instructions when prompting a generative AI model? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

Antwort: A,B


68. Frage
Which statement is an example oi a Microsoft responsible Al principle?

Antwort: C

Begründung:
"AI systems must be understandable" is an example of the Microsoft responsible AI principle of transparency
. Microsoft's responsible AI framework includes fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability.
The other options are incorrect: AI systems should not merely protect company interests, should not be limited only to public data, and must not keep personal details public.


69. Frage
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?

Antwort: A

Begründung:
To compare the costs of large language models in Microsoft Foundry portal, use the Model leaderboard.
Microsoft documentation states that the model leaderboard helps compare models across quality, safety, estimated cost, and throughput. It also supports trade-off charts and side-by-side model comparison for features, performance, and estimated cost.


70. Frage
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