AWS Certified AI Practitioner Practice Exams (AIF-C01) 2026

Ready to pass your AWS Certified AI Practitioner (AIF-C01) exam on the first attempt?

Artificial Intelligence and Machine Learning are transforming the cloud landscape. The AWS Certified AI Practitioner credential validates your foundational knowledge of AI, ML, and generative AI concepts on AWS. Don't risk your exam fee—test your readiness and build ultimate confidence before hitting the real testing center!

This comprehensive practice exam course is fully aligned with the official AWS exam guide. It features high-quality, scenario-based questions built to match the difficulty, wording, and formatting of the actual exam.

Core Exam Domains

The exam framework tests your foundational comprehension across five core modules: [1]

1. Fundamentals of AI and ML: Differentiating between AI, machine learning, deep learning, and agentic AI, alongside standard training paradigms (supervised, unsupervised, and reinforcement learning).

2. Fundamentals of Generative AI: Understanding Large Language Models (LLMs), tokenization, context windows, and foundational transformer structures.

3. Applications of Foundation Models: Knowing how to leverage pre-trained models via prompt engineering, Retrieval-Augmented Generation (RAG), and fine-tuning.

4. Guidelines for Responsible AI: Mitigating model bias, ensuring fairness, maintaining transparency, and checking data privacy metrics.

5. Security, Compliance, and Governance: Navigating the AWS Shared Responsibility Model, data engineering compliance boundaries, and risk management guidelines tailored to AI. [1, 2, 3, 4]

Key AWS Services to Know

You will be expected to identify the purpose and use cases for primary AWS AI offerings: [1]

• Amazon Bedrock: The primary serverless hub for building and scaling generative AI applications using top foundation models.

• Amazon SageMaker: AWS's robust environment to build, train, and deploy standard machine learning models.

• Turnkey AI Services: Matching predefined problem sets to standalone tools like Amazon Comprehend (NLP), Amazon Rekognition (computer vision), Amazon Polly (text-to-speech), and Amazon Transcribe (speech-to-text).

Exam Specifications & Passing Requirements

AWS certifications use a scaled scoring model. Your raw score is converted into a score from 100 to 1,000.

• Exam Duration: 100 minutes (1 hour and 40 minutes)

• Passing Score: 700 out of 1,000 (Roughly ~70% correct answers)

• Total Questions: 65 questions (Only 50 count toward your score; 15 are unscored trial questions)

• Question Types: Multiple-choice, multiple-response, ordering, and matching