📋 AI Governance & Compliance - AIF-C01 Practice Questions

AI governance establishes policies and controls for responsible AI deployment. Study data governance, model governance, audit trails, regulatory compliance, and AWS governance tools.

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AIF-C01 AI Governance Question Bank (5 Questions)

Browse all 5 practice questions covering AI Governance & Compliance for the AIF-C01 certification exam. Answers are intentionally hidden on this page so you can self-test first before checking results in quiz mode.

  1. Question 1Security, Compliance, and Governance for AI Solutions

    What does 'model governance' mean in enterprise AI?

    AChoosing which ML framework to use
    BThe policies, processes, and controls for managing AI model lifecycle — development, approval, deployment, monitoring, and retirement
    CPaying for model training costs
    DConfiguring SageMaker IAM roles

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  2. Question 2Security, Compliance, and Governance for AI Solutions

    What is 'data lineage' and why does it matter for AI governance?

    AThe physical location of training data in S3
    BTracking the origin, transformation, and movement of data used to train AI models for auditability and compliance
    CThe amount of time data has been stored
    DThe number of features extracted from a dataset

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  3. Question 3Security, Compliance, and Governance for AI Solutions

    A company must ensure that training data for their AI model never leaves a specific AWS Region due to data residency regulations. Which approach ensures compliance?

    AUsing AWS Transfer Family to move data between Regions
    BStoring training data in S3 buckets in the required Region and configuring SageMaker to train in the same Region with S3 bucket policies preventing cross-region access
    CUsing AWS Data Sync to replicate data to the nearest Region
    DDisabling CloudTrail to prevent data residency tracking

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  4. Question 4Security, Compliance, and Governance for AI Solutions

    A financial institution needs to ensure that all prompts sent to Amazon Bedrock models and their responses are logged for compliance auditing. Which should they configure?

    AAWS CloudTrail for management events only
    BAmazon Bedrock Model Invocation Logging
    CAmazon CloudWatch Logs alone
    DAWS Config Rules

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  5. Question 5Security, Compliance, and Governance for AI Solutions

    Which AWS service provides audit logs of all API calls to Amazon Bedrock, helping with compliance and incident investigation?

    AAmazon CloudWatch
    BAWS CloudTrail
    CAmazon Inspector
    DAmazon GuardDuty

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Key AI Governance Concepts for AIF-C01

governancecomplianceregulationauditmodel carddata lineagemodel governanceai policy

AIF-C01 AI Governance Exam Tips

AI Governance & Compliance questions in AIF-C01 are typically scenario-based. Focus on generative AI fundamentals, responsible AI, and foundation model use cases. Priority concepts: governance, compliance, regulation, audit, model card, data lineage.

What AIF-C01 Expects

  • Anchor your answer in identify the safest and most practical AI implementation approach for business goals.
  • AI Governance scenarios for AIF-C01 are frequently mapped to Domain 4 (14%), Domain 5 (14%), so read the objective carefully before picking controls or architecture.
  • Expect multi-topic scenarios where AI Governance interacts with IAM, networking, storage, or observability patterns rather than appearing as an isolated question.
  • When two options are both technically valid, prefer the choice that best aligns with the exam's operational scope (Foundational) and vendor best practices.

High-Value AI Governance Concepts

  • Know the core AI Governance building blocks cold: governance, compliance, regulation, audit.
  • Review the edge-case features and limits for model card, data lineage; these details are commonly used to differentiate answer choices.
  • Practice service-integration reasoning: how AI Governance pairs with Responsible AI, AI Security, Guardrails in real deployment patterns.
  • For AIF-C01, explain why the chosen AI Governance design meets reliability, security, and cost expectations better than the alternatives.

Common AIF-C01 Traps

  • Watch for ignoring data governance and model safety constraints.
  • Questions in Guidelines for Responsible AI often include distractors that look correct for AI Governance but violate least-privilege, durability, or availability requirements.
  • Avoid picking options purely by feature name; validate data path, failure handling, and governance impact before answering.
  • If the prompt hints at automation or repeatability, eliminate manual-only operational answers first.

Fast Review Checklist

  • Can you compare at least two AI Governance implementation paths and justify which one best fits the scenario?
  • Can you map the chosen answer back to Guidelines for Responsible AI (14%) outcomes for AIF-C01?
  • Can you explain security and access boundaries for AI Governance without relying on default-open assumptions?
  • Can you describe how AI Governance integrates with Responsible AI and AI Security during failure, scaling, and monitoring events?

Exam Domains Covering AI Governance

Domain 4Guidelines for Responsible AI14%Domain 5Security, Compliance, and Governance for AI Solutions14%

Related Resources

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