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AAISM AI Technologies And Controls Practice Question

An AI Security analyst is configuring Google Cloud Vertex AI Model Garden to ensure compliance with organization policies. Which IAM permission is strictly required to prevent unauthorized users from deploying a base model to a public endpoint?

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

aiplatform.endpoints.create

The roles/aiplatform.user role allows usage, but 'aiplatform.endpoints.create' or specific restrictions on the Endpoint resource are needed to prevent public exposure.

Answer analysis

Option-by-option breakdown

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

  • aiplatform.metadata.read

    Why it's wrong here

    This is a read-only metadata permission.

  • aiplatform.jobs.create

    Why it's wrong here

    This pertains to training and batch prediction jobs.

  • aiplatform.endpoints.create

    Why this is correct

    This permission controls the creation of endpoints, which is where public/private visibility is defined.

  • aiplatform.models.upload

    Why it's wrong here

    This allows uploading models to the registry, not endpoint deployment.

About these practice questions

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JA

Written and reviewed by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

Last reviewed August 2026 · checked against the official ISACA exam blueprint

This AAISM practice question is part of Courseiva's free ISACA 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 AAISM exam.