Microsoft Azure AI Fundamentals AI-901 Exam 2026

Microsoft Azure AI Fundamentals AI-901 Exam 2026
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Course Details

Are you preparing for the Microsoft Azure AI Fundamentals AI-901 certification exam?

This practice-test course is designed around the current AI-901 exam objectives and focuses on the skills Microsoft currently assesses, including AI concepts, responsible AI, generative AI, AI workloads, Microsoft Foundry, agents, text and speech, computer vision, image generation, and information extraction.

The current AI-901 exam places significant emphasis on implementing AI solutions using Microsoft Foundry, making it important to study beyond traditional Azure AI fundamentals.

What this course covers

You will practice questions across the major areas of the current AI-901 exam:

AI Concepts and Capabilities

  • Responsible AI principles

  • Fairness

  • Reliability and safety

  • Privacy and security

  • Inclusiveness

  • Transparency

  • Accountability

  • Generative AI fundamentals

  • AI model capabilities

  • Model deployment options

  • Model configuration parameters

  • Common AI workloads

  • Agentic AI

  • Text analysis

  • Speech recognition and synthesis

  • Computer vision

  • Image generation

  • Information extraction

Microsoft Foundry

  • Microsoft Foundry concepts

  • Generative AI applications

  • Prompt engineering fundamentals

  • System and user prompts

  • Model deployment

  • Model interaction

  • Foundry portal

  • Foundry SDK

  • Lightweight AI client applications

  • AI agents

  • Single-agent solutions

  • Agent client applications

Text and Speech AI

  • Text analysis

  • Keyword extraction

  • Entity detection

  • Sentiment analysis

  • Summarization

  • Speech recognition

  • Speech synthesis

  • Multimodal AI scenarios

  • Azure Speech capabilities

Computer Vision and Image Generation

  • Visual input

  • Multimodal models

  • Image understanding

  • Computer vision scenarios

  • Image-generation capabilities

  • Generative visual applications

Information Extraction

  • Document understanding

  • Forms and documents

  • Image information extraction

  • Audio information extraction

  • Video information extraction

  • Content Understanding

  • Lightweight information-extraction applications

Practice-test approach

The questions are designed to help you practice identifying the appropriate Microsoft Azure AI technology or approach for a given requirement.

Expect a mixture of:

  • Scenario-based questions

  • Technology-selection questions

  • Conceptual questions

  • Configuration questions

  • Microsoft Foundry scenarios

  • Generative AI scenarios

  • Responsible AI scenarios

  • AI workload identification

  • Multimodal AI scenarios

  • Application implementation scenarios

Each question should be reviewed carefully rather than simply memorizing the answer.

Why take practice tests?

Practice tests can help you:

  • Identify knowledge gaps.

  • Improve familiarity with AI-901 terminology.

  • Practice applying concepts to realistic scenarios.

  • Improve your ability to eliminate incorrect options.

  • Review Microsoft Foundry concepts.

  • Strengthen your understanding of responsible AI.

  • Measure your preparation progress.

  • Build confidence before taking the certification exam.

Are you preparing for the Microsoft Azure AI Fundamentals AI-901 certification exam?

This practice-test course is designed around the current AI-901 exam objectives and focuses on the skills Microsoft currently assesses, including AI concepts, responsible AI, generative AI, AI workloads, Microsoft Foundry, agents, text and speech, computer vision, image generation, and information extraction.

The current AI-901 exam places significant emphasis on implementing AI solutions using Microsoft Foundry, making it important to study beyond traditional Azure AI fundamentals.

What this course covers

You will practice questions across the major areas of the current AI-901 exam:

AI Concepts and Capabilities

  • Responsible AI principles

  • Fairness

  • Reliability and safety

  • Privacy and security

  • Inclusiveness

  • Transparency

  • Accountability

  • Generative AI fundamentals

  • AI model capabilities

  • Model deployment options

  • Model configuration parameters

  • Common AI workloads

  • Agentic AI

  • Text analysis

  • Speech recognition and synthesis

  • Computer vision

  • Image generation

  • Information extraction

Microsoft Foundry

  • Microsoft Foundry concepts

  • Generative AI applications

  • Prompt engineering fundamentals

  • System and user prompts

  • Model deployment

  • Model interaction

  • Foundry portal

  • Foundry SDK

  • Lightweight AI client applications

  • AI agents

  • Single-agent solutions

  • Agent client applications

Text and Speech AI

  • Text analysis

  • Keyword extraction

  • Entity detection

  • Sentiment analysis

  • Summarization

  • Speech recognition

  • Speech synthesis

  • Multimodal AI scenarios

  • Azure Speech capabilities

Computer Vision and Image Generation

  • Visual input

  • Multimodal models

  • Image understanding

  • Computer vision scenarios

  • Image-generation capabilities

  • Generative visual applications

Information Extraction

  • Document understanding

  • Forms and documents

  • Image information extraction

  • Audio information extraction

  • Video information extraction

  • Content Understanding

  • Lightweight information-extraction applications

Practice-test approach

The questions are designed to help you practice identifying the appropriate Microsoft Azure AI technology or approach for a given requirement.

Expect a mixture of:

  • Scenario-based questions

  • Technology-selection questions

  • Conceptual questions

  • Configuration questions

  • Microsoft Foundry scenarios

  • Generative AI scenarios

  • Responsible AI scenarios

  • AI workload identification

  • Multimodal AI scenarios

  • Application implementation scenarios

Each question should be reviewed carefully rather than simply memorizing the answer.

Why take practice tests?

Practice tests can help you:

  • Identify knowledge gaps.

  • Improve familiarity with AI-901 terminology.

  • Practice applying concepts to realistic scenarios.

  • Improve your ability to eliminate incorrect options.

  • Review Microsoft Foundry concepts.

  • Strengthen your understanding of responsible AI.

  • Measure your preparation progress.

  • Build confidence before taking the certification exam.

Important note

This course is an independent preparation resource and is not affiliated with, authorized by, or endorsed by Microsoft.

The practice questions are original study material designed from the publicly available AI-901 skills outline and related Microsoft documentation. They are not actual Microsoft exam questions.

Microsoft can update certification objectives and Azure services over time. Always compare your preparation with the latest Microsoft Learn AI-901 study guide before taking the exam.