一流的AI-901考試證照綜述和有效的Microsoft認證培訓 -實用的Microsoft Microsoft Azure AI Fundamentals

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Microsoft AI-901 Exam Overview:

Certification Vendor:	Microsoft
Exam Name:	Microsoft Azure AI Fundamentals
Exam Number:	AI-901
Passing Score:	700
Certificate Validity Period:	Lifetime
Exam Price:	$99 USD
Exam Format:	Case studies, Multiple choice, Multiple select
Available Languages:	German, Chinese (Simplified), Italian, English, Portuguese (Brazil), Indonesian (Indonesia), Korean, French, Spanish, Chinese (Traditional), Arabic (Saudi Arabia), Russian, Japanese
Real Exam Qty:	30-40
Exam Duration:	60 minutes
Recommended Training:	Microsoft Learn: AI concepts for developers and technology professionals Microsoft Learn: Get started with Microsoft Foundry
Exam Registration:	Microsoft Certification Exam Registration Pearson VUE Scheduling
Sample Questions:	Microsoft AI-901 Sample Questions
Exam Way:	Online proctored or onsite at Pearson VUE test centers
Pre Condition:	No required prerequisites; basic understanding of cloud computing and familiarity with Python syntax recommended
Official Syllabus URL:	https://learn.microsoft.com/en-us/credentials/certifications/exams/ai-901/

>> AI-901考試證照綜述 <<

AI-901認證題庫 - 最新AI-901考證

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Microsoft AI-901 考試大綱：

主題	簡介
主題 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.
主題 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.

最新的 Microsoft Certified: Azure AI Fundamentals AI-901 免費考試真題 (Q119-Q124):

問題 #119
Select the answer that correctly completes the sentence.

答案：

解題說明：

問題 #120
You deploy the Azure OpenAI service to generate images.
You need to ensure that the service provides the highest level of protection against harmful content.
What should you do?

A. Configure the system prompt
B. Configure the Content filters settings
C. Change the model used by the Azure OpenAI service
D. Customize a large language model (LLM)

答案：B

問題 #121
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.

A. defines the tokens per minute (TPM) allocation for the model
B. defines constraints on the model's responses
C. defines the agent's role and behavior
D. defines the Azure region where inference occurs
E. selects which model to use

答案：B,C

問題 #122
Drag and Drop Question
You have a Microsoft Foundry project named project1 that contains an Azure OpenAI resource named Resource1.
To Resource1, you deploy a gpt-4.1-mini model by using a model deployment named my-mini- gpt.
You need to connect to my-mini-gpt from an application.
How should you complete the Python code? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.

答案：

解題說明：

問題 #123
What are three Microsoft guiding principles for responsible AI? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

A. decisiveness
B. knowledgeability
C. opinionatedness
D. fairness
E. reliability and safety
F. inclusiveness

答案：D,E,F

解題說明：
Microsoft's Six Responsible AI Principles
[C] Fairness: AI systems should treat all people equitably and avoid bias or discrimination.
[D] Reliability and Safety: Systems must operate dependably, consistently, and safely without causing harm.
Privacy and Security: AI must protect user data securely and respect personal privacy.
[E] Inclusiveness: Design should empower and engage diverse communities and users of all abilities.
Transparency: AI behavior and decision-making processes should be understandable to users.
Accountability: Creators and deployers of AI are responsible for how their systems operate.
Reference:
https://www.microsoft.com/en-us/ai/principles-and-approach

問題 #124
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AI-901認證題庫: https://www.kaoguti.com/AI-901_exam-pdf.html