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Free AWS Certified AI Practitioner Practice Questions

20 exam-style AWS Certified AI Practitioner questions with an explanation after every answer. No timer, no signup — about 15 minutes.

About the AWS Certified AI Practitioner exam

The AWS Certified AI Practitioner (AIF-C01) is a Foundational-level certification. It covers AI/ML fundamentals, generative AI, foundation models, prompt engineering, responsible AI, and security governance on AWS. The exam has 85 questions and runs 120 minutes. You need a scaled score of 700 out of 1000 to pass.

The 20 practice questions on this page are written by a 12x AWS certified engineer and balanced across the exam domains using the official exam guide weighting. They use the same scenario-based style as the real AIF-C01 exam.

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Frequently asked questions about the AWS Certified AI Practitioner exam

How many questions are on the AWS AI Practitioner exam?+

The AIF-C01 exam has 85 questions to be completed in 120 minutes. Some questions are unscored (used for future exams), but you won't know which ones. You need a scaled score of 700 out of 1000 to pass.

Is the AWS AI Practitioner exam hard?+

It is a foundational-level certification — easier than AWS SAA or Associate-level exams. It focuses on AI/ML concepts and AWS AI services (Bedrock, SageMaker, Rekognition) rather than deep hands-on architecture. Most people pass in 2–4 weeks of study.

What topics are on the AWS AI Practitioner exam?+

The five domains are: AI and ML Fundamentals (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%).

How long should I study for the AWS AI Practitioner?+

2–4 weeks with focused study. If you already have an AI/ML background, 1–2 weeks may be enough. The key is practice questions — the real exam uses scenario-based questions, not definitions.

Is the AWS AI Practitioner worth getting?+

Yes, especially if you're moving into AI roles or want to validate foundational AI knowledge. It's one of the fastest AWS certs to earn and signals current AI literacy. Pairs well with AWS Solutions Architect for a cloud+AI skill set.

Sample AWS Certified AI Practitioner questions

Three examples from the 20-question quiz. Answers stay hidden until you reveal them.

Sample Question 1Security, Compliance, and Governance

A security engineer needs to grant a Lambda function permission to call only a single Anthropic Claude model on Amazon Bedrock and nothing else. Which approach follows AWS best practices?

AAttach the AdministratorAccess managed policy to the role
BPut long-lived IAM user access keys in a Lambda environment variable
CMake the Bedrock model endpoint publicly accessible
DUse an IAM role with a scoped policy allowing bedrock:InvokeModel on that model ARN
Show answer
Answer: D — Use an IAM role with a scoped policy allowing bedrock:InvokeModel on that model ARN

Least privilege means an IAM role with a policy that allows only bedrock:InvokeModel and restricts the Resource to the specific model ARN. AdministratorAccess violates least privilege. Long-lived access keys in environment variables are an anti-pattern compared to roles, and Bedrock model endpoints are not made publicly accessible — access is controlled through IAM.

Read the full explanation →
Sample Question 2Security, Compliance, and Governance

A financial services customer is evaluating Amazon Bedrock and is concerned that their prompts and completions might be used to train the underlying foundation models or stored unencrypted. Which statement reflects how Bedrock handles customer data?

ACustomer prompts and completions are not used to train base foundation models, and data at rest can be encrypted with AWS KMS
BPrompts are used to retrain the base foundation models by default
CBedrock stores prompts only on customer on-premises hardware
DEncryption requires a third-party tool outside AWS
Show answer
Answer: A — Customer prompts and completions are not used to train base foundation models, and data at rest can be encrypted with AWS KMS

AWS does not use customer prompts or completions to train the base foundation models served in Bedrock, and data at rest is encrypted with AWS-managed or customer-managed KMS keys. The claim that prompts are used to retrain base models is the exact misconception AWS documentation corrects. On-premises storage and third-party encryption requirements are not how Bedrock works.

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Sample Question 3Security, Compliance, and Governance

A compliance team needs a full audit trail of every Amazon Bedrock InvokeModel API call, including who called it and when, plus the actual prompt and completion content for later review. Which combination meets this requirement?

AAWS CloudTrail only
BAmazon CloudWatch metrics only
CAWS CloudTrail for API activity plus Bedrock model invocation logging for prompt and completion content
DAWS Config rules only
Show answer
Answer: C — AWS CloudTrail for API activity plus Bedrock model invocation logging for prompt and completion content

CloudTrail records the API call, caller identity, and timestamp, but does not capture prompt or completion content. Bedrock model invocation logging delivers the full request and response payloads to Amazon S3 or CloudWatch Logs, so you need both. CloudWatch metrics only show aggregated counts and latencies, and AWS Config tracks resource configuration — neither captures prompt and completion bodies.

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