- A
Enable audit logging for all inference requests
Audit logs help demonstrate compliance with data privacy regulations.
- B
Allocate a dedicated compartment for generative AI resources to apply specific IAM policies
Why wrong: While good practice, it is more about access control than directly meeting data privacy regulations.
- C
Use dedicated AI clusters with private endpoints to keep data within the OCI network
Private endpoints prevent data from traversing the internet.
- D
Store all inference inputs and outputs in a public bucket for transparency
Why wrong: Public buckets expose data, violating privacy.
- E
Use customer-managed keys (CMK) for encrypting model artifacts and inference data
CMKs give customers control over encryption keys, meeting many compliance requirements.
Quick Answer
The answer is to use customer-managed keys (CMK) for encrypting model artifacts and inference data, enable audit logging for all inference requests, and deploy private endpoints for the generative AI service. These three practices form the core of data privacy compliance on OCI because CMKs give you exclusive control over encryption keys, ensuring that only your organization can decrypt sensitive model outputs and training data. Audit logging creates an immutable record of every inference request—who accessed the service, what data was sent, and when—without storing the actual payloads, which is critical for compliance audits and detecting unauthorized access. Private endpoints keep all traffic within the OCI network, preventing data from traversing the public internet. On the Oracle Cloud Infrastructure Generative AI Professional 1Z0-1127 exam, this question tests your ability to distinguish between security controls that protect data at rest, in transit, and in use; a common trap is choosing “encrypt with Oracle-managed keys” instead of CMK, which fails the compliance requirement for customer-controlled encryption. Remember the mnemonic “CAP” for Compliance: CMK, Audit logging, Private endpoints.
1Z0-1127 Deploying and Managing Generative AI on OCI Practice Question
This 1Z0-1127 practice question tests your understanding of deploying and managing generative ai on oci. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
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.)
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"best"Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
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
Option A is correct because 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.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
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.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
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.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may 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.
Detailed technical explanation
How to think about this question
Under the hood, OCI Audit logs capture metadata such as the OCID of the caller, the request timestamp, and the API operation, but not the actual inference payload, which balances compliance with privacy. For dedicated AI clusters with private endpoints, the traffic stays within the OCI network using VCN private IPs, avoiding egress over the internet and ensuring data never leaves the customer's tenancy boundary. Customer-managed keys (CMK) using OCI Vault allow the customer to control encryption keys for model artifacts and inference data, enabling key rotation and revocation independent of OCI, which is critical for meeting regulations like GDPR that require data to be encrypted at rest and in transit.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A practitioner preparing for the 1Z0-1127 exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Questions learners often ask
What does this 1Z0-1127 question test?
Deploying and Managing Generative AI on OCI — This question tests Deploying and Managing Generative AI on OCI — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Enable audit logging for all inference requests — Option A is correct because 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.
What should I do if I get this 1Z0-1127 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Are there clue words in this question I should notice?
Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
This 1Z0-1127 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 exam.
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