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AWS Certified AI Practitioner (AIF-C01): exam guide, passing score and how to prepare

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What the AWS AIF-C01 exam covers, what to check before you book, the ideas people mix up, and a simple way to prepare. Last updated .

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Before exam day: what to know about AWS AIF-C01

The real exam is run by the provider. These are the details people look for before they book.

How it is takenPearson VUE testing center or online proctored exam
Exam length90 minutes
Number of questions65 questions (50 scored, 15 unscored)
Passing score700 on a scaled score of 100 to 1,000

Source: the provider’s official page, checked on 1 November 2026. The provider can change these details at any time.

Your exam-day checklist

  • Confirm the details above on the provider’s page the day you book. Formats and rules change.
  • Match your name and ID. The name on your registration usually has to match your identification. Check the provider’s ID rules.
  • Test your set-up early if you take the exam online: camera, microphone, internet and a clear desk. Providers publish a system test.
  • Know the rules for breaks and materials before you sit. Read the candidate agreement.
  • Rehearse at exam pace. Take your last practice test with a timer and no notes.

What the AWS AIF-C01 exam covers

The AWS Certified AI Practitioner (AIF-C01) exam is about AI, machine learning and generative AI concepts on AWS. Always check the provider’s official exam guide for the current objectives, fees and format.

Roles this can lead to

  • Cloud or AI solutions associate
  • Technical sales or pre-sales
  • Product or project manager on AI work
  • Junior AI and cloud practitioner

Easy to mix up on the AWS AIF-C01 exam

Exam questions often use two ideas that sound alike. Learn the difference once and several questions become easy.

PairThe key differenceHow to choose
Retrieval Augmented Generation or Fine-tuningRAG supplies external knowledge in the prompt at request time, while fine-tuning changes the model's weights using additional training data.Use RAG for frequently changing facts; consider fine-tuning to adapt style, format or specialised behaviour.
Amazon Bedrock or Amazon SageMaker AIBedrock offers managed API access to foundation models, while SageMaker AI is a platform to build, train and deploy your own ML models.Use Bedrock to add generative AI quickly with existing models; use SageMaker AI when you need to train or host custom models.
Precision or RecallPrecision is the share of predicted positives that are correct, while recall is the share of actual positives that were found.Favour precision when false alarms are costly; favour recall when missing a real case is costly, such as disease screening.
Temperature or Top PTemperature scales how random token selection is, while Top P limits sampling to the smallest set of tokens whose cumulative probability reaches P.Lower either value for predictable, factual answers; raise them for more varied, creative text.

Study notes written by us. Always check the provider’s exam guide for the current objectives.

Practise these in the AWS AIF-C01 tests →

How to prepare in four steps

  1. Read the official exam guideNote the domains and their weights on the provider’s page.
  2. Take Test 1 as a baseline65 questions in 90 minutes, no notes.
  3. Fix the gapsRead every explanation and keep an error log.
  4. Repeat to 80%Two timed tests in a row, then book the exam.

Open the AWS AIF-C01 study plan

TRY ONE QUESTION

See how we explain every option

Each option in our tests has a reason: why the right answer is right and what trap each wrong option sets.

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TRY ONE QUESTION

A company wants a foundation model to answer questions using its latest internal policy documents, without retraining the model each time the documents change. Which approach is most suitable?

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A. Retrieval Augmented Generation (RAG)Correct. RAG retrieves relevant passages from an up-to-date knowledge source at request time and adds them to the prompt, so no retraining is needed when documents change.
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B. Pre-training a new model from scratchIncorrect. Pre-training is extremely costly and slow, and would still go stale as policies change.
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C. Increasing the temperature parameterIncorrect. Temperature controls how random the output is. It does not give the model any new knowledge.
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D. Reducing the maximum response lengthIncorrect. This limits output size only. It has no effect on whether the model knows the company's documents.

Illustration from the AI topic area. An original question written for this exam’s topics, not an actual exam question.

Frequently asked questions

What is the AWS AIF-C01 exam?

The AWS Certified AI Practitioner (AIF-C01) exam is about AI, machine learning and generative AI concepts on AWS. We rate it foundational level in our guide to help you choose.

What is the passing score for AWS AIF-C01?

700 on a scaled score of 100 to 1,000. Source: the provider, checked 1 November 2026. The provider can change this at any time.

How long is the AWS AIF-C01 exam?

90 minutes, with 65 questions (50 scored, 15 unscored). Source: the provider, checked 1 November 2026.

Who should take AWS AIF-C01?

It suits people in or moving toward roles such as Cloud or AI solutions associate, Technical sales or pre-sales, Product or project manager on AI work. A certificate supports an application but does not guarantee a job.

How should I prepare for AWS AIF-C01?

Read the provider's official exam guide, take one timed practice test as a baseline, fix the topics you missed, then repeat until you reach about 80 percent twice in a row. Our AWS AIF-C01 study plan shows the pace.

Not affiliated with, endorsed by or sponsored by any certification vendor or exam body. Certification names, exam codes and product names are trademarks of their respective owners and are used only to identify the exam a practice product prepares for. Our questions are original and are not actual exam questions.