Microsoft Azure AI Fundamentals Study Guide 2026

Everything you need to pass the Microsoft Azure AI Fundamentals exam in one place: the exam format, every topic to study, real practice questions with explanations, flashcards, and full-length practice tests. Free, no sign-up needed.

📋 Microsoft Azure AI Fundamentals Exam Format at a Glance

Questions

60 min

Time Limit

70%

Passing Score

Take a Full Microsoft Azure AI Fundamentals Exam Simulation →

📚 Microsoft Azure AI Fundamentals Topics to Study (45)

(AI-900) · 16 cards Artificial Intelligence · 16 cards General · 16 cards Machine Learning · 16 cards Microsoft Azure AI Fundamentals MCQ · 16 cards Microsoft Azure AI Fundamentals · 16 cards (AI-900) · 7 cards (AI-900) · 7 cards (AI-900) · 7 cards (AI-900) · 7 cards Artificial Intelligence · 7 cards Artificial Intelligence · 7 cards Artificial Intelligence · 7 cards Artificial Intelligence · 7 cards Conversational AI · 7 cards Conversational AI · 7 cards Conversational AI · 7 cards General · 7 cards General · 7 cards General · 7 cards General · 7 cards Machine Learning · 7 cards Machine Learning · 7 cards Machine Learning · 7 cards Machine Learning · 7 cards Microsoft Azure AI Fundamentals · 7 cards Microsoft Azure AI Fundamentals · 7 cards Microsoft Azure AI Fundamentals · 7 cards Microsoft Azure AI Fundamentals · 7 cards Microsoft Azure AI Fundamentals MCQ · 7 cards

See all 45 topics as flashcards →

✍️ Sample Microsoft Azure AI Fundamentals Questions & Answers

1. Which Azure OpenAI model capability allows it to understand and respond to both text and images in the same prompt?

✓ Multi-modal (vision) capability

Multi-modal models like GPT-4o can accept both text and image inputs, enabling use cases like image description, visual Q&A, and document analysis.

2. Which ML concept describes using a model trained on one task as a starting point for a different but related task?

✓ Transfer learning

Transfer learning reuses knowledge from a pretrained model (e.g., ImageNet-trained CNN) and fine-tunes it for a new related task with less data.

3. In the context of Azure ML, what is a 'model registry'?

✓ A centralized repository for storing, versioning, and managing trained ML models

The Azure ML model registry is a centralized store that tracks all trained models with versioning, metadata, and lineage information for governance and deployment.

4. Which capability allows Azure AI Language to identify the main topics discussed in a document?

✓ Key phrase extraction

Key phrase extraction identifies the most important phrases that capture the main topics within a document.

5. What is an 'enrichment pipeline' in Azure AI Search?

✓ A series of cognitive skill operations applied during document indexing to extract and enhance content

An enrichment pipeline in Azure AI Search applies cognitive skills sequentially to raw content during indexing, producing enriched, AI-annotated documents stored in the search index.

6. An organization needs to detect fraudulent financial transactions in real time. Which type of machine learning task is this?

✓ Binary classification

Fraud detection predicts one of two outcomes (fraud or legitimate), making it a binary classification problem.

🎯 Free Microsoft Azure AI Fundamentals Practice Tests

General · 16 questions (AI-900) · 16 questions Microsoft Azure AI Fundamentals MCQ · 16 questions Microsoft Azure AI Fundamentals · 16 questions Artificial Intelligence · 16 questions Machine Learning · 16 questions Conversational AI · 7 questions Conversational AI · 7 questions Conversational AI · 7 questions Artificial Intelligence · 7 questions

📖 Microsoft Azure AI Fundamentals Guides & Articles

Your Microsoft Azure AI Fundamentals Study Path

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