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Deploying and Managing Generative AI on OCIhardMultiple SelectObjective-mapped

1Z0-1127-25 Deploying and Managing Generative AI on OCI Practice Question

A company is designing a generative AI solution on OCI that must comply with data privacy regulations. Which three best practices should they follow? (Choose three.)

⚠ Common exam trap

A common mix-up: candidates confuse general resource management best practices (like compartments) with specific data privacy compliance requirements, or mistakenly think public buckets are acceptable for transparency when they actually create a severe data exposure risk.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Enable audit logging for all inference requests

Enabling audit logging for all inference requests is a fundamental data privacy best practice. It provides an immutable record of who accessed the generative AI service, what data was sent, and when, which is essential for compliance audits and detecting unauthorized access. OCI Audit service captures these events automatically when configured, ensuring traceability without storing the actual inference payloads.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Enable audit logging for all inference requests

    Why this is correct

    Audit logs help demonstrate compliance with data privacy regulations.

  • Allocate a dedicated compartment for generative AI resources to apply specific IAM policies

    Why it's wrong here

    While good practice, it is more about access control than directly meeting data privacy regulations.

  • Use dedicated AI clusters with private endpoints to keep data within the OCI network

    Why this is correct

    Private endpoints prevent data from traversing the internet.

  • Store all inference inputs and outputs in a public bucket for transparency

    Why it's wrong here

    Public buckets expose data, violating privacy.

  • Use customer-managed keys (CMK) for encrypting model artifacts and inference data

    Why this is correct

    CMKs give customers control over encryption keys, meeting many compliance requirements.

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JA

Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This 1Z0-1127-25 practice question is part of Courseiva's free Oracle certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the 1Z0-1127-25 exam.