Courseiva
Deploying and Managing Generative AI on OCIhardMultiple ChoiceObjective-mapped

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

A financial services company is concerned about data privacy when using OCI Generative AI service for processing sensitive customer data. They want to ensure that their data is not used to improve the model and is encrypted at rest and in transit. Which combination of OCI features should they implement?

⚠ Common exam trap

Oracle often tests the misconception that encryption alone (at rest or in transit) is sufficient for data privacy, when in fact the critical requirement for preventing model improvement is the explicit data privacy opt-out mechanism, which is a separate control from encryption.

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

Provision a dedicated endpoint, configure data privacy opt-out, and use OCI Vault for encryption keys

It addresses all three requirements: a dedicated endpoint ensures network isolation and encryption in transit, data privacy opt-out prevents OCI from using customer data for model improvement, and OCI Vault integration allows customers to manage their own encryption keys for data at rest, meeting the financial services company's strict data privacy and encryption needs.

Answer analysis

Option-by-option breakdown

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

  • Use OCI Object Storage buckets with encryption to store prompts and responses

    Why it's wrong here

    This does not address data used during inference.

  • Provision a dedicated endpoint, configure data privacy opt-out, and use OCI Vault for encryption keys

    Why this is correct

    Dedicated endpoints allow data isolation; Vault provides customer-managed keys; privacy opt-out prevents use for training.

  • Deploy the model in an OCI Data Science project with a private endpoint

    Why it's wrong here

    Data Science is for development, not for managed inference with data privacy guarantees.

  • Use the on-demand API with default encryption

    Why it's wrong here

    On-demand API may use data for model improvement unless opted out.

About these practice questions

Courseiva writes every 1Z0-1127-25 question from scratch — 768 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →

How Courseiva writes practice questions · Editorial policy

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.