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Deploying and Managing Generative AI on OCIeasyMultiple SelectObjective-mapped

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

Which TWO are best practices for securing a generative AI endpoint on OCI? (Select TWO)

⚠ Common exam trap

Many exam-takers confuse logging (Option A) with a security control, or assume that IP restrictions (Option B) are sufficient for securing an AI endpoint, when in fact OCI emphasizes private endpoints and authentication as best practices.

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

Store API keys in OCI Vault

OCI Vault provides a secure, centralized service for storing and managing API keys used to authenticate requests to generative AI endpoints. Storing keys in Vault prevents hardcoding them in application code or configuration files, reducing the risk of exposure and enabling automated rotation and access control via IAM policies.

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 OCI Logging for audit

    Why it's wrong here

    Logging is important but not a security control.

  • Use a public endpoint with IP restrictions

    Why it's wrong here

    Public endpoints are more exposed; IP restrictions can be bypassed.

  • Disable authentication for internal use

    Why it's wrong here

    Disabling authentication is a security risk.

  • Store API keys in OCI Vault

    Why this is correct

    OCI Vault securely manages secrets and API keys.

  • Use a dedicated AI cluster with a private subnet

    Why this is correct

    Private subnet ensures the endpoint is not accessible from the internet.

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JA

Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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