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AWS Certified AI Practitioner (AIF-C01)

AWS AI Practitioner Practice Test

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Questions updated at Jul 18, 2026, 1:30 PM CDT

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Question 1 of 10
Objective 4.1 Guidelines for Responsible AI

A lender is evaluating a generative AI model used for loan approvals and wants to assess whether the model's predictions differ based on demographic factors like race or gender. Which AWS feature is designed to analyze model outputs for potential bias across these categories?

Concept tested:
Source:Post-training Data and Model Bias
Question 2 of 10
Objective 1.2 Fundamentals of AI and ML

Which AWS service helps discover and classify sensitive data in Amazon S3 before that data is used by an AI workload?

Concept tested:
Question 3 of 10
Objective 3.4 Applications of Foundation Models

After a GuardDuty alert indicates suspicious activity related to an S3 bucket containing training data for a Foundation Model, a security analyst needs to reconstruct the sequence of events and identify the root cause. Which AWS service provides a visual representation of the relationships between events, allowing the analyst to trace the flow of activity and determine the source of the alert?

Concept tested:
Question 4 of 10
Objective 2.2 Fundamentals of Generative AI

To improve the reliability of a prompt designed to classify sentiment into two categories, what technique is generally recommended?

Concept tested:
Question 5 of 10
Objective 3.3 Applications of Foundation Models

What is the primary purpose of conducting a shadow test before promoting a new serving stack for a foundation model into production?

Concept tested:
Question 6 of 10
Objective 5.2 Security, Compliance, and Governance for AI Solutions

Which AWS Object Lock mode provides the strongest retention controls while still allowing authorized users to override them in specific, limited circumstances?

Concept tested:
Question 7 of 10
Objective 1.1 Fundamentals of AI and ML

After a deep learning model is trained, what is the process of utilizing that trained model to generate predictions on new, unseen data called?

Concept tested:
Question 8 of 10
Objective 5.1 Security, Compliance, and Governance for AI Solutions

To restrict access to a Secrets Manager interface VPC endpoint, what type of policy should the team attach to the endpoint to control which principals and resources can initiate connections?

Concept tested:
Question 9 of 10
Objective 2.3 Fundamentals of Generative AI

A company wants an FM to answer from internal manuals without building its own retrieval orchestration layer. What is the most managed AWS option?

Concept tested:
Question 10 of 10
Objective 4.2 Guidelines for Responsible AI

Which Amazon Bedrock feature allows for the assessment of knowledge bases and RAG sources, in addition to foundation models, providing computed scores?

Concept tested:
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The free daily AWS AI Practitioner set includes crawlable question text, answer choices, correct answer labels, objective mapping, and source links. Only the first SEO card includes answer explanations and any extra learning features. Pro-only bank questions stay locked; this section mirrors only the 10 free daily questions already shown on this page.

Question 1 A lender is evaluating a generative AI model used for loan approvals and wants to assess whether the model's predictions differ based on demographic factors like race or gender. Which AWS feature is designed to analyze model outputs for potential bias across these categories?

Answer choices

  1. A. Amazon Bedrock denied topics
  2. B. AWS CloudTrail digest files
  3. C. AWS KMS grants
  4. D. Amazon SageMaker Clarify post-training bias analysis

Correct answer

Amazon SageMaker Clarify post-training bias analysis

Amazon SageMaker Clarify provides post-training bias analysis so teams can quantify how predictions differ across demographic facets. It is intended for fairness review, whereas denied topics, CloudTrail, and KMS serve different control objectives.

Wrong-answer review

  • A. Amazon Bedrock denied topics: "Amazon Bedrock denied topics" does not fit because the prompt asks "Which AWS feature is built for that analysis", and "Amazon SageMaker Clarify post-training bias analysis" is the answer.
  • B. AWS CloudTrail digest files: "AWS CloudTrail digest files" does not fit because the prompt asks "Which AWS feature is built for that analysis", and "Amazon SageMaker Clarify post-training bias analysis" is the answer.
  • C. AWS KMS grants: "AWS KMS grants" does not fit because the prompt asks "Which AWS feature is built for that analysis", and "Amazon SageMaker Clarify post-training bias analysis" is the answer.

Extra learning features

Why candidates miss this

Individuals often mistakenly believe that Amazon Bedrock inherently provides bias detection capabilities. Bedrock focuses on controlling the content generated by foundation models, not analyzing model outputs for demographic bias. Amazon SageMaker Clarify, in contrast, is specifically designed for post-training bias analysis, allowing teams to identify and mitigate fairness issues. Likely wrong answer: Amazon Bedrock denied topics Review focus: Post-training Data and Model Bias

Interview question

Q: Imagine you've trained a machine learning model for loan approvals. After deployment, the business wants to understand if the model is treating different demographic groups fairly. How would you approach investigating potential bias in the model's outcomes? Strong answer: I'd leverage Amazon SageMaker Clarify's post-training bias analysis to compare approval outcomes across different demographic facets. This allows us to quantify any disparities in predictions. It's important to remember that fairness is a complex concept, and we'd need to work with stakeholders to define what fairness means in this specific context and select appropriate metrics for evaluation.

  • Understanding of bias analysis
  • Use of SageMaker Clarify
  • Stakeholder involvement in defining fairness
  • Awareness of the complexity of fairness metrics

Caution: Simply stating 'use SageMaker Clarify' without discussing the need for stakeholder input and understanding the nuances of fairness metrics demonstrates a lack of critical thinking.

Objective/domain: Guidelines for Responsible AI

Source: Post-training Data and Model Bias

Question 2 Which AWS service helps discover and classify sensitive data in Amazon S3 before that data is used by an AI workload?

Answer choices

  1. A. Amazon GuardDuty
  2. B. Amazon Macie
  3. C. AWS Lambda
  4. D. Amazon SageMaker

Correct answer

Amazon Macie

Objective/domain: Fundamentals of AI and ML

Source: Discovering sensitive data with Macie

Question 3 After a GuardDuty alert indicates suspicious activity related to an S3 bucket containing training data for a Foundation Model, a security analyst needs to reconstruct the sequence of events and identify the root cause. Which AWS service provides a visual representation of the relationships between events, allowing the analyst to trace the flow of activity and determine the source of the alert?

Answer choices

  1. A. Amazon Detective
  2. B. AWS KMS
  3. C. SageMaker Feature Processing
  4. D. CloudTrail log file validation

Correct answer

Amazon Detective

Objective/domain: Applications of Foundation Models

Source: Data in a Detective behavior graph

Question 4 To improve the reliability of a prompt designed to classify sentiment into two categories, what technique is generally recommended?

Answer choices

  1. A. Turn temperature to the highest value possible
  2. B. Replace the text with an S3 ARN
  3. C. Show labeled examples of both classes in the prompt
  4. D. Remove all examples and ask for a free-form essay

Correct answer

Show labeled examples of both classes in the prompt

Objective/domain: Fundamentals of Generative AI

Source: Prompt engineering concepts - Amazon Bedrock

Question 5 What is the primary purpose of conducting a shadow test before promoting a new serving stack for a foundation model into production?

Answer choices

  1. A. It guarantees that no monitoring is needed later.
  2. B. It replaces all model evaluation work.
  3. C. It turns asynchronous inference into batch transform.
  4. D. You can measure live operational behavior without returning the candidate output to users.

Correct answer

You can measure live operational behavior without returning the candidate output to users.

Objective/domain: Applications of Foundation Models

Source: Shadow tests - Amazon SageMaker AI

Question 6 Which AWS Object Lock mode provides the strongest retention controls while still allowing authorized users to override them in specific, limited circumstances?

Answer choices

  1. A. Compliance mode
  2. B. Event history mode
  3. C. Cross-Region mode
  4. D. Governance mode

Correct answer

Governance mode

Objective/domain: Security, Compliance, and Governance for AI Solutions

Source: Locking objects with Object Lock

Question 7 After a deep learning model is trained, what is the process of utilizing that trained model to generate predictions on new, unseen data called?

Answer choices

  1. A. Data labeling
  2. B. Feature engineering
  3. C. Validation
  4. D. Inference

Correct answer

Inference

Objective/domain: Fundamentals of AI and ML

Source: Submit prompts and generate responses with model inference

Question 8 To restrict access to a Secrets Manager interface VPC endpoint, what type of policy should the team attach to the endpoint to control which principals and resources can initiate connections?

Answer choices

  1. A. An endpoint policy
  2. B. A guardrail policy
  3. C. A CloudTrail digest policy
  4. D. An S3 replication rule

Correct answer

An endpoint policy

Objective/domain: Security, Compliance, and Governance for AI Solutions

Source: Using an AWS Secrets Manager VPC endpoint

Question 9 A company wants an FM to answer from internal manuals without building its own retrieval orchestration layer. What is the most managed AWS option?

Answer choices

  1. A. A self-built vector service as the only starting point
  2. B. Manual copy-and-paste prompting by analysts
  3. C. CloudTrail event history with no FM
  4. D. Knowledge Bases for Amazon Bedrock

Correct answer

Knowledge Bases for Amazon Bedrock

Objective/domain: Fundamentals of Generative AI

Source: Knowledge bases for Amazon Bedrock

Question 10 Which Amazon Bedrock feature allows for the assessment of knowledge bases and RAG sources, in addition to foundation models, providing computed scores?

Answer choices

  1. A. AWS CloudTrail event history
  2. B. AWS KMS endpoint policies
  3. C. Amazon Bedrock evaluations
  4. D. Amazon Bedrock guardrail word filters

Correct answer

Amazon Bedrock evaluations

Objective/domain: Guidelines for Responsible AI

Source: Evaluate the performance of Amazon Bedrock resources

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