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Microsoft AI-901 dumps - in .pdf
- Exam Code: AI-901
- Exam Name: Microsoft Azure AI Fundamentals
- Updated: Nov 10, 2026
- Q & A: 132 Questions and Answers
- PDF Price: $59.99
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- Exam Code: AI-901
- Exam Name: Microsoft Azure AI Fundamentals
- Updated: Nov 10, 2026
- Q & A: 132 Questions and Answers
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Microsoft AI-901 dumps - Testing Engine
- Exam Code: AI-901
- Exam Name: Microsoft Azure AI Fundamentals
- Updated: Nov 10, 2026
- Q & A: 132 Questions and Answers
- Software Price: $59.99
- Testing Engine
About Microsoft AI-901 Exam braindumps
Our IT experts check the update status of the Microsoft Azure AI Fundamentals bank every day, and when a new version is ready it reaches your email immediately. That keeps you aware of the AI-901 exam dynamic in real time.
Microsoft AI-901 Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Azure AI Fundamentals |
| Exam Number: | AI-900 |
| Available Languages: | Arabic (Saudi Arabia), Russian, Spanish, French, Japanese, English, Indonesian (Indonesia), Korean, Italian, Chinese (Traditional), German, Portuguese (Brazil), Chinese (Simplified) |
| Passing Score: | 700 / 1000 |
| Real Exam Qty: | 40-60 |
| Certificate Validity Period: | 1 year (renewable via free online assessment on Microsoft Learn) |
| Exam Price: | USD 99 |
| Exam Format: | Match the service to use case, Scenario-based, Multiple select, Drag and drop, Multiple choice |
| Related Certifications: | Microsoft Certified: Azure AI Fundamentals |
| Exam Duration: | 45-60 |
| 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 |
Microsoft AI-901 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Describe fundamental principles of machine learning on Azure (15-20%) | 15-20% | - Identify common machine learning techniques
|
| Topic 2: Describe features of generative AI workloads on Azure (20-25%) | 20-25% | - Identify generative AI services and capabilities in Microsoft Azure
|
| Topic 3: Describe features of computer vision workloads on Azure (15-20%) | 15-20% | - Identify common types of computer vision solution
|
| Topic 4: Describe Artificial Intelligence workloads and considerations (15-20%) | 15-20% | - Identify guiding principles for responsible AI
|
| Topic 5: Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%) | 15-20% | - Identify Azure tools and services for NLP workloads
|
Answers About Microsoft Azure AI Fundamentals Preparation
The real AI-901 exam gives you 45-60 minutes to answer 40-60 questions. Practicing under the same constraints on the ValidTorrent engine makes the real pacing feel familiar.
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The package includes 132 practice questions for the AI-901 exam. Candidates often note that the study thoughts behind them are concise and easy to absorb, which keeps revision efficient rather than tedious.
To pass AI-901 you need 700 / 1000, and the official exam fee is USD 99. Knowing both figures early helps you plan your exam date and your practice target together.
Feedback from buyers is one of the strongest reasons new candidates trust us. Reviewers frequently mention passing smoothly and scoring well, and many describe the study thoughts as concise, easy to get, and definitely not boring. We would rather let their words speak than write our own slogans.
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.
- Describe features of computer vision workloads on Azure (15-20%) (15-20%)
- Describe fundamental principles of machine learning on Azure (15-20%) (15-20%)
- Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%) (15-20%)
Spend more time on the topics that carry the most weight.
Microsoft Azure AI Fundamentals Sample Questions:
Question #1
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
A system prompt, also called a system message, is used to guide how a generative AI model behaves, including its tone, role, response style, and output format. Microsoft states that system messages help steer an Azure OpenAI chat model toward the desired behavior, tone, and output format.
Statement 1: System prompts can be used to authorize users. = No
Authorization is handled by application identity, access control, authentication, and security configuration. A system prompt can guide model behavior, but it is not an authorization mechanism.
Statement 2: A system prompt is used to reduce tokens per minute (TPM). = No TPM is a quota or throughput setting for model deployments. A system prompt does not reduce or configure TPM.
Statement 3: A system prompt guides the behavior of a generative AI model. = Yes This is correct. Microsoft documentation says system messages help steer the model's behavior, tone, and output format.
Question #2
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?
- A. Evaluator catalog
- B. Model leaderboard
- C. Compliance
- D. Tools
Correct Answer: B 🗳️
Explanation: Only visible for ValidTorrent members. You can sign-up / login (it's free).
Question #3
Your company provides users with clear information about an Al system ' s purpose, functionality, and limitations. Which Microsoft responsible Al principle is this an example of?
- A. accountability
- B. reliability and safety
- C. transparency
- D. fairness
Correct Answer: C 🗳️
Explanation: Only visible for ValidTorrent members. You can sign-up / login (it's free).
Question #4
You are reviewing best practices for using AI at your company.
Which Microsoft responsible AI principle is each task an example of? To answer, drag the appropriate principles to the correct tasks. Each task may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct match is worth one point.
Correct Answer:
Explanation:
Fairness
Privacy and security
Transparency
Reliability and safety
Comprehensive and Detailed Explanation with all Azure AI documents: =
Evaluating model outputs to ensure that decisions are NOT biased against specific demographic groups:
Fairness
Microsoft's responsible AI principle of fairness means AI systems should treat people fairly and avoid unfair bias across demographic groups.
Encrypting sensitive customer data and restricting system access to authorized personnel: Privacy and security The privacy and security principle requires AI systems to protect personal and sensitive data and prevent unauthorized access.
Informing users when they are interacting with an AI system and explaining the system's capabilities and limitations: Transparency The transparency principle requires that people understand when they are interacting with AI and understand the system's purpose, capabilities, and limitations.
Testing AI systems under different conditions to reduce unexpected failures: Reliability and safety The reliability and safety principle means AI systems should operate reliably and safely, including through testing and validation under expected and unexpected conditions.
Question #5
You have 100 instructional videos that do NOT contain any audio. Each instructional video has a script.
You need to generate a narration audio file for each video based on the script.
Which type of workload should you use?
- A. speech recognition
- B. language modeling
- C. translation
- D. speech synthesis
Correct Answer: D 🗳️
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