100% Pass Quiz 2026 AI-901: Microsoft Azure AI Fundamentals Authoritative Valid Test Sample

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Microsoft AI-901 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Describe features of natural language processing (NLP) workloads on Azure	15-20%	- Text analysis 1. Sentiment analysis 2. Language detection 3. Key phrase extraction - Azure NLP services 1. Speech services (speech-to-text, text-to-speech) 2. Azure AI Language
Topic 2: Describe features of generative AI workloads on Azure	10-15%	- Generative AI concepts 1. Responsible use of generative AI 2. Large language models (LLMs) 3. Prompt engineering basics - Azure OpenAI and generative services 1. Use cases: chatbots, content generation, summarization 2. Azure OpenAI Service capabilities
Topic 3: Describe features of computer vision workloads on Azure	15-20%	- Image analysis 1. Optical character recognition (OCR) 2. Object detection 3. Image classification - Azure AI Vision services 1. Face detection and analysis (limited use cases) 2. Azure AI Vision
Topic 4: Describe fundamental principles of machine learning on Azure	25-30%	- Azure Machine Learning basics 1. AutoML concepts 2. Azure ML workspace components - Machine learning concepts 1. Supervised vs unsupervised learning 2. Regression and classification 3. Training and evaluation concepts
Topic 5: Describe Artificial Intelligence workloads and considerations	20-25%	- Responsible AI principles 1. Privacy and security 2. Inclusiveness 3. Fairness 4. Reliability and safety 5. Transparency and accountability - Identify features of common AI workloads 1. Natural language processing use cases 2. Document processing and extraction 3. Computer vision use cases 4. Conversational AI and chatbots

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Pass Guaranteed Microsoft - AI-901 - Updated Valid Microsoft Azure AI Fundamentals Test Sample

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Microsoft Azure AI Fundamentals Sample Questions (Q75-Q80):

NEW QUESTION # 75
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. Model leaderboard
B. Compliance
C. Evaluator catalog
D. Tools

Answer: A

Explanation:
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.

NEW QUESTION # 76
Select the answer that correctly completes the sentence.

Answer:

Explanation:

Explanation:

The completed sentence is:
When developing an AI system for self-driving cars, the Microsoft reliability and safety principle for responsible AI should be applied to ensure consistent operation of the system during use.
Self-driving cars are safety-critical AI systems. The key requirement in the question is consistent operation of the system during use, which maps directly to the Microsoft responsible AI principle of reliability and safety.
The other options are incorrect:
Fairness focuses on reducing bias and treating people equitably.
Accountability focuses on ensuring people remain responsible for AI systems and their outcomes.
Inclusiveness focuses on designing AI systems that work for and empower diverse users, including people with different needs or abilities.
Therefore, the correct answer is reliability and safety.

NEW QUESTION # 77
You have the process shown in the following exhibit.

Which type of AI solution is shown in the diagram?

A. a machine learning model
B. an agent
C. a computer vision application
D. a sentiment analysis solution

Answer: B

Explanation:
An agent answers a question.

NEW QUESTION # 78
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 # 79
You are designing a system that will generate insurance quotes automatically.
Match the Microsoft responsible AI principles to the appropriate requirements.
To answer, drag the appropriate principle from the column on the left to its requirement on the right. Each principle may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.

Answer:

Explanation:

Explanation:
Requirement
Principle
The decision-making process must be recorded so that staff can identify the reasoning behind a particular quote.
Transparency
A customer ' s personal information must be visible only to staff who are involved in the decision-making process.
Privacy and security
The system must be accessible to customers who use screen readers or other assistive technology.
Inclusiveness
Microsoft ' s Responsible AI framework defines six core principles: fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability .
The first requirement maps to Transparency because personnel must be able to understand and review how the AI system arrived at an insurance quote. Transparency concerns making AI behavior, capabilities, limitations, and decision processes understandable. Recording the decision-making process provides the traceability required to explain a particular result.
The second requirement maps to Privacy and security . Restricting customer information to authorized staff directly implements least-privilege access and protects confidential personal data from unauthorized disclosure. Microsoft specifically associates this principle with respecting data boundaries and safeguarding information handled by AI systems.
The third requirement maps to Inclusiveness . AI systems should accommodate the full range of people they serve, including individuals who rely on assistive technologies. Support for screen readers and accessibility technologies ensures that users with disabilities are not excluded from interacting with the system. Microsoft explicitly connects inclusive AI design with accessibility considerations for people with disabilities.

NEW QUESTION # 80
......

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