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Deploying and Managing Generative AI on OCIeasyMultiple ChoiceObjective-mapped

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

A developer wants to call the OCI Generative AI service from a Python application running on an OCI Compute instance. Which method is the most secure for authenticating the API calls?

⚠ Common exam trap

Many candidates confuse resource principals (used for serverless functions) with instance principals (used for Compute instances), or they assume that storing credentials in a config file is acceptable because it is a common practice in non-OCI environments.

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

Use instance principals with a dynamic group and policy

Instance principals allow the Compute instance to authenticate to OCI services without storing any credentials on the instance. By assigning a dynamic group and policy, the instance obtains a temporary security token from the OCI metadata service, which is the most secure method for programmatic access from within OCI.

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 a resource principal

    Why it's wrong here

    Resource principals are for OCI Functions, not Compute instances.

  • Use the OCI CLI with a config file containing credentials

    Why it's wrong here

    Config files contain credentials that could be exposed.

  • Use instance principals with a dynamic group and policy

    Why this is correct

    Instance principals allow secure authentication without storing secrets.

  • Use an API signing key stored on the instance

    Why it's wrong here

    Storing keys on the instance is less secure.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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