Skip to main content

Foundational

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

Looking for a free AIF-C01 practice exam? Practise realistic AWS exam questions with adaptive domain mastery, randomised exams, and unlimited free attempts.

  • 65 questions
  • 90 minutes
  • pass 700/1000
  • 419+ question bank

✓ Aligned to the AIF-C01 exam guide (version 1.1, April 2026). Last verified June 2026.

Build your AIF-C01 practice exam by domain

Focused question sets for every exam domain, weighted like the real exam.

Built to mirror the real exam

Realistic exam simulation

Full-length, timed mock exams that mirror the live AWS exam: question style, scoring scale, duration, and passing score read from each cert's exam guide.

Every answer explained

Each question is aligned to the current official exam guide and ships with a detailed explanation of why the correct answer is right and why each distractor is wrong.

Adaptive spaced repetition

Domain practice prioritises questions you have got wrong or have not seen, weighted by your past performance.

Domain mastery analytics

Track performance across every exam domain. Identify weak areas, focus practice where it matters most, and watch your scores climb over time.

MIT licensed, no ads, no paywalls. Codebase on GitHub. Learn more about the project

How Our Practice Exams Match the Real Exam

Our AIF-C01 mock exams mirror the format of the real AWS Certified AI Practitioner exam, sourced from the official AWS exam guide.

FeatureReal ExamCloudCertPrep
Exam length65 questions65-question timed mock exam
Time limit90 minutes90 minutes
Passing score700 / 1000700 / 1000
Scoring scale100-1000 scaled100-1000 scaled
Question typesMultiple choice, Multiple response, Ordering, MatchingMultiple choice, Multiple response, Ordering, Matching
Question poolOne timed sitting419+ questions, unlimited free attempts

Every Question Includes a Detailed Explanation

Every question ships with a full explanation: why the correct answer is right and why each distractor is wrong.

Q1.

A manufacturer built a model that classifies photos of parts as defective or not. The team wants to know what proportion of the part images the model classified correctly. Which evaluation metric should they use?

Suggest a fix on GitHub

Read this question's source on GitHub. The entire question bank is open source and MIT licensed.

Latest from the blog

Read all articles

Frequently asked questions

Something not covered? Open an issue and we will answer it.

General

Is CloudCertPrep really free?

Yes, 100% free with no hidden fees, premium tiers, paywalls, or ads. Every practice question, full-length mock exam, domain practice session, and progress tracker is completely free.

Do I need to create an account?

No account is required to practice. Guest mode gives you full access to every practice question and mock exam. Creating a free account unlocks progress tracking, exam history, domain mastery analytics, and the spaced repetition algorithm in domain practice.

Is CloudCertPrep open source?

Yes, CloudCertPrep is 100% open source under the MIT license. View the source, contribute new certifications or questions, report errors, or fork the project at https://github.com/nastaso/cloudcertprep. Community contributions are welcome; see CONTRIBUTING.md for the question schema and contribution workflow.

Does CloudCertPrep provide AIF-C01 exam dumps?

No. We do not provide exam dumps, which are leaked or stolen real exam questions that violate the AWS Certification agreement and can get your certification revoked. Every AIF-C01 question is original, written from the published AWS exam guide and AWS documentation, and aligned to the five current AIF-C01 domains. We help you pass legitimately by teaching the material, not by sharing stolen answers.

Exam format

What is the format of the AWS AI Practitioner practice exams?

Practice exams mirror the real AWS Certified AI Practitioner (AIF-C01) exam: 65 questions (50 scored plus 15 unscored) in 90 minutes, scaled scoring from 100 to 1000 with a 700 passing threshold. The official exam uses multiple-choice, multiple-response, ordering, and matching question formats. The exam covers fundamentals of AI, machine learning, and generative AI on AWS.

Is the AWS AI Practitioner exam hard?

AIF-C01 is a foundational certification and is not deeply technical: it tests conceptual understanding of AI, machine learning, and generative AI on AWS rather than coding or model training. Candidates with some cloud familiarity (the Cloud Practitioner CLF-C02 is good groundwork) generally find it approachable. The trickier areas are the generative-AI and foundation-model domains, which together are over half the exam, so weight your study there. Consistent domain practice and full-length mock exams here make it very passable on the first attempt.

Who is the AWS AI Practitioner certification for?

AIF-C01 is a foundational certification for individuals who use AI/ML technologies on AWS but are not in technical IT roles, such as business analysts, sales, marketing, product managers, and decision-makers. It validates broad knowledge of AI and ML concepts, generative AI use cases, and AWS AI services like Amazon Bedrock, SageMaker, Q, and Rekognition.

What topics are on the AWS AI Practitioner exam?

AIF-C01 covers five domains: Fundamentals of AI and ML (20%), Fundamentals of Generative AI (24%), Applications of Foundation Models (28%), Guidelines for Responsible AI (14%), and Security, Compliance, and Governance for AI Solutions (14%). Key services covered include Amazon Bedrock, Amazon SageMaker, Amazon Q, Amazon Rekognition, Amazon Comprehend, Amazon Polly, Amazon Transcribe, and Amazon Textract.

How realistic are CloudCertPrep practice exams?

Very realistic. Our AIF-C01 mock exams mirror the real AWS Certified AI Practitioner format: timed sittings, scaled scoring from 100 to 1000, and a 700 pass mark. Questions match the difficulty, style, and domain weighting of the official exam guide, so your practice scores closely track real exam-day performance.

Are the practice questions aligned to the current exam guide?

Yes. Every AIF-C01 question is written against the current AWS Certified AI Practitioner exam guide (AIF-C01, version 1.1, April 2026) and mapped to its five domains and task statements. The open-source bank is reviewed via GitHub pull request and updated whenever AWS revises the guide, so coverage stays aligned with what the real exam tests.

Does every question have a detailed explanation?

Yes. Every AIF-C01 practice question ships with a full explanation covering why the correct answer is right and why each distractor is wrong. Explanations reference AWS AI and ML concepts and documentation, so you learn the reasoning rather than memorising answers. The entire bank is publicly auditable on GitHub under the MIT license.

How much does the AWS AI Practitioner exam cost?

The AWS Certified AI Practitioner (AIF-C01) exam costs 100 USD (prices vary slightly by region and local tax). As a foundational-level exam it is the same price tier as the Cloud Practitioner. If you already hold an AWS certification, check your AWS Certification account for a 50% discount voucher before booking. Practising on CloudCertPrep is always free.

Does the AWS AI Practitioner certification expire?

Yes. Like all AWS certifications, the AI Practitioner (AIF-C01) is valid for three years from the date you pass. You can recertify by passing the current version of the exam again, or by earning a higher-level AWS certification before it expires.

Study strategy

How does the domain practice spaced repetition work?

For signed-in users, domain practice uses an adaptive algorithm based on your answer history. Questions you get wrong are weighted higher and appear more often. Questions you get right are weighted lower and appear less. Once you build a correct streak on a question, it enters an exclusion window and is hidden until enough time passes. Roughly 20% of each session is reserved for unseen questions so you keep covering new material. Guest sessions use random selection only.

Do I need a technical background for AWS AI Practitioner?

No deep technical background is required. AIF-C01 is foundational and tests conceptual understanding rather than implementation. You should be familiar with cloud computing basics (the AWS Cloud Practitioner CLF-C02 is excellent prerequisite preparation) and have exposure to AI/ML terminology, but you do not need to write code or train models to pass.

What is the best way to prepare for the AWS AI Practitioner exam?

A practical approach for AIF-C01:

  1. Build foundational cloud knowledge first; the AWS Cloud Practitioner (CLF-C02) material is excellent groundwork.
  2. Read the official AWS Certified AI Practitioner exam guide and focus on the five domains, especially generative AI and foundation models, which together are over half the exam.
  3. Learn the AWS AI/ML service map: Amazon Bedrock, SageMaker, Q, Rekognition, Comprehend, Polly, Transcribe, and Textract.
  4. Use domain practice here to drill your weakest domains with adaptive spaced repetition, then take full-length timed mock exams to build pacing.

Platform & certifications

What certifications does CloudCertPrep support?

CloudCertPrep currently supports AWS Certified Cloud Practitioner (CLF-C02) and AWS Certified AI Practitioner (AIF-C01). Additional certifications, including AWS Solutions Architect Associate (SAA-C03), are planned. The platform is multi-cert by design and new certifications can be added by the community.

Where can I report a wrong answer or bad question?

Open an issue on GitHub at https://github.com/nastaso/cloudcertprep/issues/new?template=report-question-error.yml. Each practice question shows a "Report on GitHub" link in its review footer that pre-fills the question ID, so the report is one click and a one-line description. Pull requests with corrections are welcome.

How can I contribute new questions or a new certification?

See CONTRIBUTING.md in the repository at https://github.com/nastaso/cloudcertprep. The question JSON schema is documented end-to-end. Pull requests adding questions, fixing existing ones, or proposing a new certification (use the issue template) are reviewed against the validator and merged when accurate. Contributors are credited in commit history.