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100+ Free AWS AI Practitioner Practice Questions

Pass your AWS Certified AI Practitioner (AIF-C01) exam on the first try — instant access, no signup required.

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~65-75% Pass Rate
100+ Questions
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2026 Statistics

Key Facts: AWS AI Practitioner Exam

~70%

Estimated Pass Rate

Industry estimate

700/1000

Passing Score

AWS

20-40 hrs

Study Time

Recommended

Oct 2024

Exam Launch

AWS

$100

Exam Fee

AWS

3 Years

Certification Validity

AWS

The AWS Certified AI Practitioner (AIF-C01) has an estimated 65-75% pass rate and requires a scaled score of 700/1000. The exam has 65 questions (50 scored + 15 unscored) in 90 minutes. Applications of Foundation Models is the largest domain at 28%, heavily testing Amazon Bedrock, RAG, and model customization. No coding or math is required. With the legacy ML Specialty (MLS-C01) retiring March 31, 2026, the AIF-C01 is now the primary entry point for AWS AI certification. The exam costs $100 and is valid for 3 years.

About the AWS AI Practitioner Exam

The AWS Certified AI Practitioner (AIF-C01) validates foundational knowledge of artificial intelligence, machine learning, and generative AI concepts on AWS. Launched in October 2024, it is AWS's first AI certification designed for non-builders — business analysts, project managers, IT staff, and professionals who work alongside AI/ML without coding or training models. It is the recommended entry point into AWS's AI certification path.

Questions

65 scored questions

Time Limit

1 hour 30 minutes

Passing Score

700/1000

Exam Fee

$100 (Amazon Web Services (AWS))

AWS AI Practitioner Exam Content Outline

20%

Fundamentals of AI and ML

AI/ML concepts, supervised/unsupervised learning, neural networks, model evaluation metrics

24%

Fundamentals of Generative AI

Foundation models, LLMs, transformers, prompt engineering, embeddings, inference parameters

28%

Applications of Foundation Models

Amazon Bedrock, RAG, Knowledge Bases, Agents, fine-tuning, model evaluation and selection

14%

Guidelines for Responsible AI

Fairness, bias detection, explainability, Guardrails, content safety, human-in-the-loop

14%

Security, Compliance, and Governance

Data privacy, IAM for Bedrock, encryption, shared responsibility, audit logging

How to Pass the AWS AI Practitioner Exam

What You Need to Know

  • Passing score: 700/1000
  • Exam length: 65 questions
  • Time limit: 1 hour 30 minutes
  • Exam fee: $100

Keys to Passing

  • Complete 500+ practice questions
  • Score 80%+ consistently before scheduling
  • Focus on highest-weighted sections
  • Use our AI tutor for tough concepts

AWS AI Practitioner Study Tips from Top Performers

1Focus on Applications of Foundation Models (28%) — this is the largest domain and heavily tests Bedrock, RAG, and model selection
2Master the RAG vs. fine-tuning vs. prompt engineering decision framework — know when to recommend each approach
3Know every Bedrock feature: Knowledge Bases, Agents, Guardrails, Model Evaluation, Provisioned Throughput, and Custom Model Import
4Understand responsible AI principles: fairness, explainability, bias detection with SageMaker Clarify, and Guardrails configuration
5Learn inference parameters: temperature, top-p, max tokens — know how each affects model output and when to adjust them

Frequently Asked Questions

What is the AWS AI Practitioner pass rate?

AWS does not publish official pass rates. Industry estimates suggest around 65-75% of well-prepared candidates pass on their first attempt. The exam requires a scaled score of 700 out of 1000. With 65 questions (50 scored + 15 unscored) in 90 minutes, you have about 83 seconds per question. The exam is foundational level and does not require coding or math, making it accessible for non-technical professionals.

How many questions are on the AWS AI Practitioner exam?

The AIF-C01 exam has 65 total questions: 50 scored questions and 15 unscored pretest questions mixed in. You have 90 minutes to complete the exam. Question types include multiple choice (one correct answer), multiple response (two or more correct answers), ordering, matching, and case studies. Unanswered questions are scored as incorrect with no penalty for guessing.

What topics does the AWS AI Practitioner exam cover?

The AIF-C01 covers five domains: Fundamentals of AI and ML (20%) covering core ML concepts and AWS AI services; Fundamentals of Generative AI (24%) covering foundation models, prompt engineering, and embeddings; Applications of Foundation Models (28%) covering Bedrock, RAG, agents, and model customization; Guidelines for Responsible AI (14%) covering fairness, bias, and guardrails; and Security, Compliance, and Governance (14%) covering data privacy and access control.

Do I need coding experience for the AWS AI Practitioner exam?

No. The AIF-C01 is specifically designed for non-builders. You do not need programming, coding, or mathematical skills. The exam focuses on AI literacy — understanding concepts, use cases, AWS services, and responsible AI practices. It tests your ability to identify appropriate AI solutions and understand how to work alongside AI, not build AI systems from scratch.

How long should I study for the AWS AI Practitioner?

Most candidates study for 2-5 weeks, investing 20-40 hours total. If you have AI/ML familiarity, 2-3 weeks may suffice. If you're completely new to AI, plan for 4-5 weeks including hands-on Bedrock exploration. Focus on: 1) Understanding Bedrock services (Knowledge Bases, Agents, Guardrails), 2) RAG vs. fine-tuning vs. prompt engineering decision framework, 3) Responsible AI principles, 4) Complete 100+ practice questions and score 80%+ consistently before scheduling.

Is the AWS AI Practitioner certification worth it?

Yes — it's one of the most relevant new certifications in 2024-2026. Benefits include: 1) First AWS cert designed specifically for AI literacy, 2) Positions you at the forefront of the AI transformation, 3) Low cost ($100) and no prerequisites, 4) Valid for 3 years with a 50% discount on your next AWS cert, 5) Replaces the legacy ML Specialty as the AI entry point, 6) Relevant for both technical and non-technical professionals as AI becomes embedded in every role.

What AWS services should I know for the AI Practitioner exam?

Key services to know: Amazon Bedrock (foundation models, Knowledge Bases, Agents, Guardrails), Amazon SageMaker (Studio, Canvas, Clarify, Autopilot, Data Wrangler), Amazon Q (Business, Developer), AI Services (Comprehend, Rekognition, Textract, Polly, Transcribe, Translate, Lex, Kendra), Amazon Personalize, Amazon Forecast, Amazon Fraud Detector, and Amazon Augmented AI (A2I). Bedrock is the most heavily tested service.