Career upgrade: Learn practical AI skills for better jobs and higher pay.
Level up
PracticeVideosBlogFlashcardsEspañol
All Practice Exams

100+ Free Azure AI Fundamentals (AI-901) Practice Questions

Pass your Microsoft Certified: Azure AI Fundamentals (Exam AI-901) exam on the first try — instant access, no signup required.

✓ No registration✓ No credit card✓ No hidden fees✓ Start practicing immediately
100+ Questions
100% Free
1 / 100
Question 1
Score: 0/0

Why might an organization add a human-in-the-loop review step to a generative AI workflow?

A
B
C
D
to track
Same family resources

Explore More Microsoft Azure Certifications

Continue into nearby exams from the same family. Each card keeps practice questions, study guides, flashcards, videos, and articles in one place.

Azure AZ-104

Practice QuestionsStudy GuideCheat SheetFlashcards3 videos5 blogs

Azure AZ-900

Practice QuestionsStudy GuideCheat SheetFlashcards2 videos5 blogs

Azure AI-900

Practice QuestionsStudy GuideCheat SheetFlashcards2 videos4 blogs

Azure DP-700

Practice QuestionsStudy GuideCheat SheetFlashcards4 blogs

Azure DP-600

Practice QuestionsStudy GuideCheat SheetFlashcards1 blog

Azure DP-900

Practice QuestionsStudy GuideCheat SheetFlashcards1 blog

More From This Family

Videos and articles for deeper review.

VideoAI-900 Exam Guide 2026: FREE Azure AI Fundamentals Study PlanVideoAZ-104 Study Plan 2026: Pass Azure Administrator ExamVideoAZ-500 Exam Guide 2026: Azure Security Before RetirementVideoAZ-900 Exam Guide 2026: Pass Azure Fundamentals Free (Complete Study Plan)ArticleAI-900 Exam Guide 2026: FREE Azure AI Fundamentals Study Plan26 min readArticleAZ-104 Study Plan 2026: Pass Azure Administrator Exam17 min readArticleAZ-500 Exam Guide 2026: Azure Security Before Retirement11 min readArticleAZ-900 Azure Services Study Guide 2026: Compute, Storage, Networking, Databases11 min read
2026 Statistics

Key Facts: Azure AI Fundamentals (AI-901) Exam

$99

Exam Fee (US)

Microsoft

45 min

Typical Exam Duration

Microsoft fundamentals

700/1000

Passing Score

Microsoft Learn

55-60%

Microsoft Foundry domain weight

AI-901 study guide

No expiration

Credential Validity

Microsoft fundamentals

Apr 15, 2026

Latest Skills Update

Microsoft Learn

As of May 2026, Microsoft lists Exam AI-901 (Azure AI Fundamentals, in beta, updated April 15, 2026) as a multiple-choice fundamentals exam with a 700-out-of-1000 passing score and a $99 USD US fee delivered through Pearson VUE. The exam has two skill areas: Implement AI solutions by using Microsoft Foundry is the larger at 55-60%, and Identify AI concepts and responsibilities accounts for 40-45%. The certification does not expire because it is a fundamentals credential.

Sample Azure AI Fundamentals (AI-901) Practice Questions

Try these sample questions to test your Azure AI Fundamentals (AI-901) exam readiness. Each question includes a detailed explanation. Start the interactive quiz above for the full 100+ question experience with AI tutoring.

1Which two skill domains make up the Microsoft AI-901 exam blueprint?
A.Identify AI concepts and responsibilities, and Implement AI solutions by using Microsoft Foundry
B.Machine learning operations, and Data engineering on Azure
C.Designing Azure infrastructure, and Securing Azure networks
D.Power Platform automation, and Microsoft 365 administration
Explanation: The refreshed AI-901 exam is organized into two skill areas: Identify AI concepts and responsibilities (40-45%) and Implement AI solutions by using Microsoft Foundry (55-60%). The first is conceptual and the second is hands-on with the Foundry platform.
2What is the unified Microsoft platform for building and deploying AI applications and agents that AI-901 is built around?
A.Microsoft Foundry
B.Microsoft Power BI
C.Microsoft Sentinel
D.Microsoft Defender
Explanation: Microsoft Foundry (previously Azure AI Foundry and Azure AI Studio) is Microsoft's unified platform for building, deploying, and managing AI applications and agents on Azure. The AI-901 exam was redesigned around Foundry as the primary developer experience.
3Which responsible AI principle is most directly concerned with ensuring an AI system treats all groups of people equitably?
A.Fairness
B.Transparency
C.Accountability
D.Reliability and safety
Explanation: Fairness means an AI system should treat all people equitably and avoid discriminating against groups based on attributes such as gender, ethnicity, or age. Microsoft's responsible AI principles include fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability.
4A bank wants to make sure its loan-approval AI model does not disadvantage applicants based on ethnicity. Which responsible AI principle does this address?
A.Fairness
B.Inclusiveness
C.Privacy and security
D.Transparency
Explanation: Ensuring a model does not discriminate against people based on attributes like ethnicity is the core of the fairness principle. Tools such as Fairlearn help assess and mitigate fairness issues in models.
5Which responsible AI principle requires that AI systems should perform consistently and operate safely even in unexpected conditions?
A.Reliability and safety
B.Inclusiveness
C.Accountability
D.Fairness
Explanation: Reliability and safety means AI systems should work consistently as designed, respond safely to new situations, and resist harmful manipulation. Rigorous testing and monitoring support this principle.
6An AI system must protect personal data and give users control over how their information is used. Which responsible AI principle applies?
A.Privacy and security
B.Transparency
C.Reliability and safety
D.Accountability
Explanation: Privacy and security means AI systems must protect data and respect user privacy, securing information against misuse throughout its lifecycle. This includes safeguarding training data and user inputs.
7Designing an AI solution so that it is accessible to people with disabilities best reflects which responsible AI principle?
A.Inclusiveness
B.Fairness
C.Transparency
D.Privacy and security
Explanation: Inclusiveness means AI systems should empower everyone and engage people across abilities and backgrounds, including accessibility for people with disabilities. It ensures the benefits of AI reach diverse populations.
8Users should understand how an AI system reaches its decisions and what its limitations are. Which principle does this describe?
A.Transparency
B.Accountability
C.Inclusiveness
D.Reliability and safety
Explanation: Transparency means people should be able to understand how AI systems make decisions and be aware of their capabilities and limitations. Clear documentation and explainability tools support this principle.
9Which responsible AI principle states that people, not the AI system itself, must be answerable for how an AI system operates?
A.Accountability
B.Transparency
C.Fairness
D.Privacy and security
Explanation: Accountability means the people who design and deploy AI systems are responsible for how those systems operate, including meeting legal and ethical standards. Governance frameworks help organizations uphold accountability.
10A content team wants to block a generative AI app from producing hateful or violent text. Which Azure capability is designed for this?
A.Azure AI Content Safety
B.Azure Monitor
C.Azure Key Vault
D.Azure Resource Manager
Explanation: Azure AI Content Safety detects and filters harmful content such as hate, violence, self-harm, and sexual material in both text and images. It supports the responsible AI principles of reliability, safety, and harm mitigation in generative apps.

About the Azure AI Fundamentals (AI-901) Exam

Exam AI-901 is the refreshed Microsoft Azure AI Fundamentals certification that replaces AI-900 and is built around Microsoft Foundry. It validates entry-level understanding of AI concepts, responsible AI principles, generative AI and agents, computer vision, natural language processing, and information extraction, plus the ability to implement lightweight AI solutions using the Foundry portal and SDK. No prior experience is required, though basic Python and Azure familiarity help.

Questions

45 scored questions

Time Limit

45 minutes

Passing Score

700/1000

Exam Fee

$99 (Microsoft)

Azure AI Fundamentals (AI-901) Exam Content Outline

40-45%

Identify AI concepts and responsibilities

Review Microsoft's responsible AI principles (fairness, reliability and safety, privacy and security, inclusiveness, transparency, accountability), how generative AI models work, model selection and deployment configuration, and recognizing common AI workloads including generative, agentic, text analysis, speech, computer vision, and information extraction.

55-60%

Implement AI solutions by using Microsoft Foundry

Practice deploying models and building generative AI apps and agents in the Foundry portal and SDK, creating text and speech solutions with Azure Speech, interpreting and generating images with multimodal and image-generation models, and extracting information from documents, images, audio, and video with Azure Content Understanding.

How to Pass the Azure AI Fundamentals (AI-901) Exam

What You Need to Know

  • Passing score: 700/1000
  • Exam length: 45 questions
  • Time limit: 45 minutes
  • Exam fee: $99

Keys to Passing

  • Complete 500+ practice questions
  • Score 80%+ consistently before scheduling
  • Focus on highest-weighted sections
  • Use our AI tutor for tough concepts

Azure AI Fundamentals (AI-901) Study Tips from Top Performers

1Spend the largest share of prep time on the Microsoft Foundry implementation domain, since it is 55-60% of the exam.
2Memorize Microsoft's six responsible AI principles and a one-line example of each: fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability.
3Know the core service mapping: Azure AI Vision for images, Azure AI Language for text, Azure AI Speech for audio, and Azure Content Understanding for information extraction from documents, images, audio, and video.
4Understand generative AI fundamentals like tokens, embeddings, context window, temperature, max tokens, prompting styles, grounding (RAG), and hallucinations.
5Practice recognizing workloads by scenario: classification vs regression, generative vs agentic, OCR vs image generation, and speech to text vs text to speech.
6Get hands-on in the Foundry portal: deploy a model, test it in the chat playground, and build a simple chat client and single agent with the Foundry SDK.

Frequently Asked Questions

What are the current official exam facts for AI-901?

Microsoft lists AI-901 as a multiple-choice fundamentals exam requiring a score of 700 or higher on a 1000-point scale, with a US fee of $99 and delivery through Pearson VUE. The English version was updated April 15, 2026, and the exam is currently in beta.

How is AI-901 different from the older AI-900 exam?

AI-901 is the refreshed Azure AI Fundamentals exam that replaces AI-900 and is rebuilt around Microsoft Foundry. More than half the exam now focuses on implementing AI solutions in Foundry, including generative AI apps, agents, and Content Understanding, rather than only describing services.

What topics are weighted most heavily on the exam?

Implement AI solutions by using Microsoft Foundry is the larger skill area at 55-60% of the exam. Identify AI concepts and responsibilities accounts for the remaining 40-45%, covering responsible AI, how generative models work, and common AI workloads.

Does AI-901 require coding or hands-on experience?

No experience is required to sit the exam, but Microsoft recommends conceptual AI knowledge plus familiarity with Python syntax and Azure resources, since Foundry SDK examples are shown in Python and several objectives involve building lightweight applications.

How long is the Azure AI Fundamentals certification valid?

The Microsoft Certified: Azure AI Fundamentals certification does not expire. Only role-based associate, expert, and specialty certifications require annual renewal through a free Microsoft Learn assessment.

What is the best way to prepare for AI-901?

Start with the official Microsoft Learn AI-901 modules and the Foundry portal, then drill mixed practice questions. Because the Foundry implementation domain is the largest at 55-60%, spend the most study time on deploying models, prompts, agents, and Content Understanding.