AI-102 Implement generative AI solutions Practice Question
A company is developing a generative AI solution that must process sensitive customer data. They need to ensure that data remains within their Azure tenant and is not used to improve the base model. Which configuration is required in Azure OpenAI?
⚠ Common exam trap
It's easy for candidates to confuse network-level security controls (private endpoints) or encryption (CMK) with data governance policies that control how Microsoft uses data for model training, leading them to select options that address access or storage but not the specific requirement to prevent data from being used to improve the base model.
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
✓
Opt out of abuse monitoring and data logging in the Azure OpenAI Studio.
Opting out of abuse monitoring and data logging in Azure OpenAI Studio ensures that sensitive customer data is not sent to Microsoft for review or used to improve the base model. This configuration is specifically designed for customers who need to process sensitive data while maintaining data residency within their Azure tenant, as it disables the default logging and human review processes that could expose data outside the tenant.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Opt out of abuse monitoring and data logging in the Azure OpenAI Studio.
Why this is correct
Opting out prevents Microsoft from using your data for model improvement.
- ✗
Enable customer-managed keys for encryption.
Why it's wrong here
Customer-managed keys do not affect model training data usage.
- ✗
Use a private endpoint to restrict access to the service.
Why it's wrong here
Private endpoints control network access, not data usage.
- ✗
Configure data residency to keep data in a specific region.
Why it's wrong here
Data residency does not control model improvement.
Go deeper
Related to this question
About these practice questions
Courseiva writes every AI-102 question from scratch — 945 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 →
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI-102 practice question is part of Courseiva's free Microsoft 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 AI-102 exam.