Microsoft Azure AI Fundamentals Exam Prep
The Microsoft Azure AI Fundamentals (AI-900) exam validates describe ai workloads and considerations, describe fundamental principles of machine learning on azure, describe azure ai services for computer vision and document processing, describe azure ai services for natural language processing and speech. ExamPal publishes 291 premium questions and a 40-question free practice exam mapped across 6 blueprint domains. The local official-details index records: Microsoft does not publish a fixed count; often ~40-60; 45 minutes assessment time; Multiple choice, multi-select, ordering, dropdown/fill-in style items may appear. Candidates should verify current registration, pricing, and scoring details with the official exam authority before booking.
Exam Details
Exam Overview
Administered by
Microsoft
Exam Format
Microsoft does not publish a fixed count; often ~40-60; 45 minutes assessment time; Multiple choice, multi-select, ordering, dropdown/fill-in style items may appear
Passing Score
Verify current official exam guide
Exam Fee
Country/region based; US list price commonly $99
Prerequisite
Review Microsoft Learn study guide, practice assessment, sandbox.
Topics Covered
ExamPal covers all major topics tested on the Microsoft Azure AI Fundamentals exam. Our questions are grounded in official study materials.
Describe AI workloads and considerations
Covers foundational AI concepts, responsible AI principles, core machine learning concepts, and generative AI concepts and risks. This domain emphasizes understanding AI workloads and the considerations needed to design and use AI systems responsibly.
Describe fundamental principles of machine learning on Azure
Covers core machine learning workloads, the machine learning process, Azure Machine Learning capabilities, common metrics, and factors affecting model quality and reliability. This domain focuses on foundational ML concepts as implemented on Azure.
Describe Azure AI services for computer vision and document processing
Covers Azure AI services resource concepts, computer vision workloads, OCR capabilities, facial recognition considerations, and document processing with Azure AI Document Intelligence. This domain focuses on visual and document-based AI services on Azure.
Describe Azure AI services for natural language processing and speech
Covers text analysis, question answering, conversational language understanding, speech service capabilities, and choosing the right language or speech capability for a scenario. This domain focuses on language and voice AI services on Azure.
Describe knowledge mining and generative AI workloads on Azure
Covers knowledge mining with Azure AI Search, search and query concepts, generative AI workloads and model concepts, Azure OpenAI Service fundamentals, and responsible use of Azure OpenAI and generative AI solutions. This is the largest domain and emphasizes search, embeddings, copilots, and safe generative AI use.
Apply AI-900 knowledge to scenario-based solution selection
Covers scenario-based selection of Azure AI capabilities, responsible AI implications in business scenarios, and interpreting common exam-style questions and distractors. This domain is focused on applying knowledge rather than learning new service features.
Exam Blueprint
What the Microsoft Azure AI Fundamentals Exam Tests
The exam is divided into 6 domains. Here is what each domain covers and how much weight it carries on the test.
Domain 1: Describe AI workloads and considerations
20% of examCovers foundational AI concepts, responsible AI principles, core machine learning concepts, and generative AI concepts and risks. This domain emphasizes understanding AI workloads and the considerations needed to design and use AI systems responsibly.
- Task 1.1: Describe fundamental AI concepts
- Define AI and distinguish from automation
- Identify common AI workloads
- Recognize business AI scenarios
- Task 1.2: Describe principles of responsible AI
- Fairness and bias avoidance
- Reliability and safety considerations
Key references: AI-900 official exam guide · ExamPal shared topic tree
Domain 2: Describe fundamental principles of machine learning on Azure
15% of examCovers core machine learning workloads, the machine learning process, Azure Machine Learning capabilities, common metrics, and factors affecting model quality and reliability. This domain focuses on foundational ML concepts as implemented on Azure.
- Task 2.1: Describe core machine learning workloads
- Regression scenarios
- Classification scenarios
- Clustering scenarios
- Anomaly detection scenarios
- Task 2.2: Describe the machine learning process
- Data collection and preparation
Key references: AI-900 official exam guide · ExamPal shared topic tree
Domain 3: Describe Azure AI services for computer vision and document processing
20% of examCovers Azure AI services resource concepts, computer vision workloads, OCR capabilities, facial recognition considerations, and document processing with Azure AI Document Intelligence. This domain focuses on visual and document-based AI services on Azure.
- Task 3.1: Describe Azure AI services resource concepts
- Azure AI services resource
- Multi-service versus separate resources
- One key and endpoint
- Provisioning considerations
- Task 3.2: Describe computer vision workloads with Azure AI Vision
- Image analysis scenarios
Key references: AI-900 official exam guide · ExamPal shared topic tree
Domain 4: Describe Azure AI services for natural language processing and speech
20% of examCovers text analysis, question answering, conversational language understanding, speech service capabilities, and choosing the right language or speech capability for a scenario. This domain focuses on language and voice AI services on Azure.
- Task 4.1: Describe text analysis capabilities with Azure AI Language
- Text analysis workloads
- Multilingual text processing
- Confidence scores in language analysis
- Ambiguous or insufficient text
- Task 4.2: Describe question answering capabilities
- Question answering for FAQ knowledge bases
Key references: AI-900 official exam guide · ExamPal shared topic tree
Domain 5: Describe knowledge mining and generative AI workloads on Azure
25% of examCovers knowledge mining with Azure AI Search, search and query concepts, generative AI workloads and model concepts, Azure OpenAI Service fundamentals, and responsible use of Azure OpenAI and generative AI solutions. This is the largest domain and emphasizes search, embeddings, copilots, and safe generative AI use.
- Task 5.1: Describe knowledge mining with Azure AI Search
- Index
- Indexer
- Skillsets
- Search without AI enrichment
- Task 5.2: Describe Azure AI Search data and query concepts
- Supported data formats and ingestion
Key references: AI-900 official exam guide · ExamPal shared topic tree
Domain 6: Apply AI-900 knowledge to scenario-based solution selection
0% of examCovers scenario-based selection of Azure AI capabilities, responsible AI implications in business scenarios, and interpreting common exam-style questions and distractors. This domain is focused on applying knowledge rather than learning new service features.
- Task 6.1: Select the appropriate Azure AI capability for a business scenario
- Shelf-monitoring and visual inspection
- Multilingual voice assistant
- Churn prediction, forecasting, and anomaly detection
- Search, FAQ, and generative assistant scenarios
- Task 6.2: Identify responsible AI implications in scenario questions
- Fairness risks in business workflows
Key references: AI-900 official exam guide · ExamPal shared topic tree
Why study with ExamPal
Everything you need to prepare for and pass the Microsoft Azure AI Fundamentals exam, in one app.
- 291 AI-900 premium practice questions
- Free 40-question interactive practice exam
- 6 blueprint domains covered
- 39 glossary terms loaded from the shared terminology pack
- Detailed explanations and per-option rationales for study review
- Domain-level review paths with study guide, glossary, and static question pages
Microsoft Azure AI Fundamentals Exam — Common Questions
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