An autonomous vehicle manufacturer uses AI for real-time object detection. The system must be safe and reliable, but the manufacturer also faces pressure to release updates quickly. Which risk management strategy best balances safety and speed?

Rely on the AI system's self-monitoring capabilities to detect and correct issues without human intervention.

Deploy updates directly to all vehicles to ensure the latest features are available immediately.

Delay all updates until extensive testing is complete, even if it takes months.

Implement a staged rollout with continuous monitoring and a rollback plan for each update.

A company's AI model is subject to a new regulation that requires detailed documentation of training data sources and model decisions. The company has limited resources and must decide how to allocate them. Which action is most effective to achieve compliance?

Delay compliance until the regulation is fully enforced to avoid unnecessary work.

Invest in automated documentation tools that capture model metadata and data lineage throughout the development lifecycle.

Focus on documenting only the final model version, as regulators are unlikely to require historical versions.

Hire a team of consultants to manually document all past model versions and decisions.

Which practice is essential for maintaining an audit trail of AI models?

Only documenting the final model

Versioning models and tracking changes

Deleting old model versions to save storage

Keeping all model files in a single unversioned folder

Which of the following is an example of reporting compliance status for an AI system?

Keeping audit results confidential from all stakeholders

Using audit results to market the product without verification

Deleting audit logs to protect sensitive information

Providing a summary of audit findings to regulators

What is the primary purpose of auditing an AI system?

To guarantee the system is free from all risks

To evaluate the system's compliance with regulations and internal policies

To replace the need for continuous monitoring

To increase the system's processing speed

AWSCertified AI Practitioner

Domain 5Objective 2

Task Statement 5.2: Recognize Governance and Compliance Regulations for AI Systems. AIF-C01 Practice Questions (Page 6)

Part of the Content Domain 5: Security, Compliance, and Governance for AI Solutions domain, which makes up ~17% of our current practice bank. AWS does not publish an official question count, but from its 90-minute exam (~35–60 total, ~6–10 in this domain), expect 3–5 from this objective — we provide 36 practice questions to prepare you well beyond it. (estimate)

36questions here

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Questions 26–30

26expert · medium
An autonomous vehicle manufacturer uses AI for real-time object detection. The system must be safe and reliable, but the manufacturer also faces pressure to release updates quickly. Which risk management strategy best balances safety and speed?
Select an answer first
27expert · medium
A company's AI model is subject to a new regulation that requires detailed documentation of training data sources and model decisions. The company has limited resources and must decide how to allocate them. Which action is most effective to achieve compliance?
Select an answer first
28foundation · easy
Which practice is essential for maintaining an audit trail of AI models?
Select an answer first
29foundation · easy
Which of the following is an example of reporting compliance status for an AI system?
Select an answer first
30foundation · easy
What is the primary purpose of auditing an AI system?
Select an answer first

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