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AWS · AIF-C01 · Beginner

AWS AI Practitioner (AIF-C01) — Practice Questions and Mock Exam

Practice real AIF-C01 questions, never dumps. Alex explains every answer, and your readiness score tells you when you're ready to pass.

65Questions
90minTime Limit
700/ 1000Pass Score

Checked against AWS · July 2026Current exam version

About the exam

The AWS Certified AI Practitioner is AWS's foundational AI credential, validating a broad understanding of artificial intelligence, machine learning, and generative AI concepts on AWS. It covers AI/ML fundamentals, generative AI and foundation model concepts, practical applications of AI services, responsible AI guidelines, and security considerations for AI solutions.

This certification is ideal for business professionals, analysts, and early-career technologists who work with AI solutions but do not necessarily build them. It demonstrates foundational literacy in AI concepts and the ability to identify appropriate AWS AI services for common business use cases.

What's on the exam

The exam consists of 65 questions (50 scored, 15 unscored) over 90 minutes, featuring multiple-choice, multiple-response, ordering, and matching question types. Questions test conceptual understanding of AI/ML fundamentals, generative AI applications, responsible AI practices, and AWS AI services like Bedrock and SageMaker.

Fundamentals of AI and ML20%
Fundamentals of Generative AI24%
Applications of Foundation Models28%
Guidelines for Responsible AI14%
Security, Compliance, and Governance for AI Solutions14%

SourceAWS exam page

What to expect

Multiple Choice50%
Multiple Response25%
Ordering15%
Matching10%

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Practice real AIF-C01 questions

Five sample questions from our AWS Certified AI Practitioner bank. Answer one — Alex, your AI tutor, explains the why. Real prep, never dumps.

Where candidates struggle

While foundational, this exam covers a broad range of AI concepts. Candidates who focus only on AWS services without understanding core AI/ML concepts like model training, bias, and responsible AI struggle with conceptual questions.

  1. 01
    AI vs ML vs GenAI — Confusing the boundaries between traditional AI, machine learning, deep learning, and generative AI leads to wrong answers on foundational concept questions.
  2. 02
    Service Selection — Not knowing when to use Bedrock vs SageMaker vs pre-built AI services like Rekognition, Comprehend, and Textract for different use cases.
  3. 03
    Responsible AI — Underestimating the weight of responsible AI questions covering bias detection, fairness, transparency, and governance of AI systems.
  4. 04
    Foundation Models — Not understanding the differences between foundation models, fine-tuning approaches, prompt engineering, and RAG architectures.
  5. 05
    AI Security — Overlooking questions about data privacy, model access control, and compliance requirements specific to AI/ML workloads on AWS.

Exam logistics

Delivered via Pearson VUE online or at testing centers. Available in English, Japanese, Korean, Portuguese, and Simplified Chinese. The certification is valid for 3 years with renewal through recertification exams.

Exam fee$100
DeliveryPearson VUE testing center or online proctored exam
Retake policy14-day waiting period between exam attempts, no limit on total number of attempts
Validity3 years
Career outcomesAI-aware business roles, AI product managers, technical project managers, and a foundation for pursuing the Machine Learning Engineer or Generative AI Developer certifications
RenewalPass a recertification exam before the 3-year expiration date, or earn a higher-level AWS certification to automatically renew
Study time~25 hours
Official guideView on vendor site

SourceAWS exam page

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