AI Study Guide 2026

Everything you need to pass the AI 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.

📋 AI Exam Format at a Glance

Questions

90 min

Time Limit

70.00%

Passing Score

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📚 AI Topics to Study (45)

Associate [AI-102] · 16 cards Engineer: Designing and Implementing an Azure [AI-100] · 16 cards Knowledge Information · 16 cards Azure AI Engineer · 16 cards Ultimate AI Engineer · 16 cards For Beginners · 10 cards AI Engineer: Machine Learning Fundamentals and Algorithms · 7 cards AI Engineer: Machine Learning Fundamentals and Algorithms · 7 cards AI Engineer: Machine Learning Fundamentals and Algorithms · 7 cards Associate [AI-102] · 7 cards Associate [AI-102] · 7 cards Associate [AI-102] · 7 cards Associate [AI-102] · 7 cards Azure AI Engineer · 7 cards Azure AI Engineer · 7 cards Azure AI Engineer · 7 cards Azure AI Engineer · 7 cards Engineer: Designing and Implementing an Azure [AI-100] · 7 cards Engineer: Designing and Implementing an Azure [AI-100] · 7 cards Engineer: Designing and Implementing an Azure [AI-100] · 7 cards Engineer: Designing and Implementing an Azure [AI-100] · 7 cards For Beginners · 7 cards For Beginners · 7 cards For Beginners · 7 cards For Beginners · 7 cards Knowledge Information · 7 cards Knowledge Information · 7 cards Knowledge Information · 7 cards Knowledge Information · 7 cards Ultimate AI Engineer · 7 cards

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✍️ Sample AI Questions & Answers

1. In natural language processing, what does 'tokenization' refer to?

✓ Splitting raw text into smaller units such as words or subwords

Tokenization breaks text into tokens (words, subwords, or characters) that serve as the discrete input units for NLP models.

2. What is 'shadow mode' deployment in MLOps?

✓ Sending production traffic to a new model without using its outputs to serve users

Shadow mode runs a new model on real traffic in parallel with the live model, comparing outputs without impacting users.

3. Which of the following uses artificial intelligence?

✓ Language understanding and problem-solving (Text analytics and NLP)

Artificial intelligence is extensively applied in areas requiring the understanding and processing of human language, such as text analytics and Natural Language Processing (NLP). These AI capabilities enable machines to interpret, analyze, and generate human language, facilitating applications like chatbots, sentiment analysis, machine translation, and information extraction.

4. Which Azure AI service provides pre-built models for extracting key-value pairs and tables from forms and documents?

✓ Azure Document Intelligence

Azure Document Intelligence (formerly Form Recognizer) extracts key-value pairs, tables, and structured data from documents using pre-built and custom models.

5. Which SPARQL query keyword is used to retrieve triples from an RDF knowledge graph?

✓ SELECT with WHERE patterns

SPARQL uses SELECT queries with WHERE clauses containing triple patterns (subject, predicate, object) to match and retrieve data from RDF graphs.

6. Which technique is used to visualize which parts of an input image most influence a CNN's classification decision?

✓ Grad-CAM (Gradient-weighted Class Activation Mapping)

Grad-CAM uses gradients flowing into the final convolutional layer to produce a heatmap highlighting the regions most important to the prediction.

🎯 Free AI Practice Tests

Ultimate AI Engineer · 16 questions Knowledge Information · 16 questions Engineer: Designing and Implementing an Azure [AI-100] · 16 questions Azure AI Engineer · 16 questions Associate [AI-102] · 16 questions For Beginners · 10 questions AI Engineer: Machine Learning Fundamentals and Algorithms · 7 questions AI Engineer: Machine Learning Fundamentals and Algorithms · 7 questions AI Engineer: Machine Learning Fundamentals and Algorithms · 7 questions Associate [AI-102] · 7 questions

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