AIF-C01 exam dumps

AIF-C01 practice question 223 of 231

AWS Certified AI Practitioner. Associate level, Amazon Web Services. Free question with the correct answer and a full explanation.

AIF-C01 Question 223

Select 3

A company is building an AI model that processes sensitive customer data. To ensure compliance with regulatory requirements and best practices, which strategies should they implement as part of their data governance framework?

  1. A

    Implement data residency controls to ensure data is stored in specific geographic locations.

  2. B

    Enable logging and monitoring to track data access and usage activities.

  3. C

    Allow unrestricted access to the dataset to improve model training efficiency.

  4. D

    Establish data retention policies to define how long data should be stored.

  5. E

    Disable data lifecycle management to reduce operational overhead.

Show answer and explanation

Correct answers: A, B, D

Explanation

Data governance strategies are vital for ensuring compliance, security, and efficiency in AI systems. Key practices such as enforcing data residency controls, enabling logging and monitoring, and establishing retention policies help organizations manage sensitive data responsibly. By implementing these strategies, companies can align their AI workflows with legal and regulatory requirements while maintaining operational integrity.

  • A. Correct.

    Implementing data residency controls ensures that sensitive data complies with local regulations by being stored in designated geographic regions, which is a critical component of data governance.

  • B. Correct.

    Enabling logging and monitoring provides visibility into how data is accessed and used, which is essential for detecting anomalies and ensuring compliance with governance policies.

  • C. Incorrect.

    Allowing unrestricted access to data violates data governance principles by increasing the risk of unauthorized access and data breaches.

  • D. Correct.

    Establishing data retention policies helps define and enforce how long data is stored, balancing regulatory compliance and storage efficiency.

  • E. Incorrect.

    Disabling data lifecycle management contradicts good governance practices since lifecycle management is essential for controlling data from creation to deletion.

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