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AI-900: Exam Tips & Strategy ​

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Note

This page focuses on study strategy and test-taking approach. For tactical traps and decision rules, see the Exam Guide.

Study Strategy ​

1. Start With Workload Recognition ​

Practice mapping:

  • Image/video input -> computer vision.
  • Text input -> NLP or generative AI.
  • Audio input/output -> speech.
  • Numeric/category prediction -> machine learning.
  • Document fields/tables -> document processing.

2. Memorize the Responsible AI Principles ​

These are high-return fundamentals points:

  • Fairness.
  • Reliability and safety.
  • Privacy and security.
  • Inclusiveness.
  • Transparency.
  • Accountability.

3. Prioritize Generative AI ​

Generative AI is the largest domain at 20-25%. Focus on:

  • Azure AI Foundry.
  • Azure OpenAI Service.
  • Foundry model catalog.
  • RAG vs fine-tuning.
  • Responsible AI considerations for generative AI.

4. Use Hands-On Labs ​

Use Microsoft Learn and the AI simulations to reinforce service names. You do not need deep implementation skill, but clicking through the services helps with scenario recognition.

Test-Taking Strategy ​

Time Management ​

  • Fundamentals exams are usually short; do not spend too long on a single scenario.
  • Answer obvious service-matching questions quickly.
  • Flag only questions where two Azure services seem plausible.

Question Handling ​

  • Identify the input type first: image, text, speech, tabular data, or documents.
  • Identify the requested output: label, number, extracted text, translated text, generated answer, or deployed model.
  • Eliminate custom-build answers when a managed Azure AI service fits.
  • Watch for "best", "most appropriate", "least", and "first".

Last-Minute Review Checklist ​

  • [ ] Review Domain 1: workloads and responsible AI.
  • [ ] Review Domain 2: regression, classification, clustering, features, labels.
  • [ ] Review Domain 3: image classification, object detection, OCR, Face.
  • [ ] Review Domain 4: key phrases, entities, sentiment, speech, translation.
  • [ ] Review Domain 5: Azure AI Foundry, Azure OpenAI, RAG, embeddings.
  • [ ] Review the Cheatsheet service lookup tables.
  • [ ] Use the Exam Sandbox before the first Microsoft exam attempt.
  • [ ] Confirm AI-900 availability before booking because the exam retires on June 30, 2026.

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