AWS · AIF-C01

AWS AIF-C01 Exam Practice Questions

452 questionsInstant PDF downloadUpdated September 2026

US$39

Try 10 questions free

Card, Apple Pay or Google Pay. Your PDF is sent by email as soon as you check out.

Pass or your money backFail the exam after using this pack and we refund it. How the guarantee works
Category:
TRY BEFORE YOU BUY

Three of the 452 questions in this pack

Question 1

A company makes forecasts each quarter to decide how to optimize operations to meet expected demand. The company uses ML models to make these forecasts.

An AI practitioner is writing a report about the trained ML models to provide transparency and explainability to company stakeholders.

What should the AI practitioner include in the report to meet the transparency and explainability requirements?

  1. Code for model training
  2. Partial dependence plots (PDPs)
  3. Sample data for training
  4. Model convergence tables
Show answer and explanation

Correct answer: B. Partial dependence plots (PDPs)

Partial dependence plots (PDPs) are a key explainability tool that show how predicted values change as a feature varies, holding other features constant. This directly demonstrates the relationship between input features and model predictions, providing transparency to stakeholders about how the model makes forecasting decisions. PDPs help non-technical audiences understand model behavior without requiring knowledge of implementation details.

Why the other options are wrong

  • A. Model training code is implementation detail, not explanation of model behavior to stakeholders.
  • C. Sample training data does not explain how the model makes predictions or what it learned.
  • D. Convergence tables show training progress metrics but do not explain model explainability or feature relationships.

Question 2

A law firm wants to build an AI application by using large language models (LLMs). The application will read legal documents and extract key points from the documents.

Which solution meets these requirements?

  1. Build an automatic named entity recognition system.
  2. Create a recommendation engine.
  3. Develop a summarization chatbot.
  4. Develop a multi-language translation system.
Show answer and explanation

Correct answer: C. Develop a summarization chatbot.

A summarization chatbot using LLMs is the appropriate solution for extracting key points from legal documents. LLMs excel at understanding document content and generating concise summaries of important information. This approach leverages the natural language understanding capabilities of LLMs to identify and extract relevant key points from complex legal texts.

Why the other options are wrong

  • A. Named entity recognition focuses on identifying specific entity types (names, organizations) rather than extracting broader key points from documents.
  • B. A recommendation engine suggests items to users based on preferences, not extracting information from documents.
  • D. Translation systems convert text between languages but do not extract or summarize key points.

Question 3

A company wants to classify human genes into 20 categories based on gene characteristics. The company needs an ML algorithm to document how the inner mechanism of the model affects the output.

Which ML algorithm meets these requirements?

  1. Decision trees
  2. Linear regression
  3. Logistic regression
  4. Neural networks ✅Correct Answer: A, Decision trees Decision trees are highly interpretable models that naturally document their decision-making mechanism through an explicit tree structure. Each node represents a feature threshold, each branch represents a decision path, and each leaf represents a class. Anyone can trace the exact path that produced a prediction, so the inner mechanism of the model and its effect on the output are self-documenting for all 20 gene categories.
Show answer and explanation

Answer and explanation for question 3

Answer and explanation for question 3

See all 10 free questions Get the full pack, US$39

452 practice questions for AWS Certified AI Practitioner (AIF-C01), with full explanations.

Every question comes with the correct answer, the reasoning behind it, and a note on why each wrong option is wrong. Work through it once with the answers, then again with the questions-only copy under exam conditions.

  • 452 questions across all five AIF-C01 domains
  • Answers and explanations for every question, including the wrong options
  • A questions-only PDF for timed practice runs
  • Instant delivery by email the moment you check out
  • Free monthly updates for as long as the exam is live
  • Pass or your money back

A failed AIF-C01 attempt costs another US$100, plus the time it takes to restudy. This pack is US$39, paid once, and refunded if you fail.

Try 10 questions free before you buy.

Last updated September 2026 · 452 questions

What makes the AIF-C01 hard

AIF-C01 is AWS’s foundational AI certification and one of the most in-demand credentials on the market right now: every company is hiring for AI literacy, and this is the credential that proves it. It is not a hands-on engineering exam. It asks whether you understand AI, can identify the right AWS service for the job, and know how to use it responsibly, which is why business analysts and project managers sit it alongside engineers.

65 questions in 90 minutes, 700 out of 1000 to pass. This pack has 452 practice questions covering AI and ML fundamentals, generative AI concepts, Amazon Bedrock and foundation models, responsible AI practices, and governance, so you see exactly how AWS frames these topics before exam day.

About the exam

AIF-C01 is Amazon’s foundational AI certification for anyone who works with or around AI on AWS. The target candidate has up to six months of exposure to AI and ML technologies on AWS. It is not aimed only at engineers: business analysts, project managers and IT professionals all sit it. Valid for three years.

Exam domains

  • Fundamentals of AI and ML: 20%
  • Fundamentals of Generative AI: 24%
  • Applications of Foundation Models: 28%
  • Guidelines for Responsible AI: 14%
  • Security, Compliance, and Governance for AI Solutions: 14%

65 questions, 90 minutes, pass mark 700 out of 1000, US$100 per attempt, valid for three years, available in multiple languages.

Reviews

There are no reviews yet.

Only logged in customers who have purchased this product may leave a review.

Questions before you buy

What do I get when I buy the AWS AIF-C01 pack?

452 practice questions as a PDF, each with the correct answer, a full explanation and a note on why the other options are wrong, plus a separate questions-only PDF for timed practice.

How quickly do I receive it?

Straight away. The full PDF and a questions-only copy are emailed to you the moment your payment goes through, and the same links are on your order page.

Is there a free sample?

Yes. Ten questions from this pack, with answers and explanations, are free on this page and as a PDF, so you can judge the quality before you pay.

Are updates included?

Yes. The pack is updated every month for as long as the exam is live, and updates are free for everyone who has bought it.

What if I fail the exam?

We refund the pack. Sit the exam 7 to 30 days after buying, then send your official score report within 7 days of the exam date, as set out in the refund policy.

Can I share it with colleagues?

Each purchase is licensed to one person. For a team, school or training organisation, email support@certstash.com for a licence that fits.