AI-103 Implement Generative AI And Agentic Solutions Practice Question
You are configuring an Azure OpenAI Service deployment in Microsoft AI Foundry portal. You need to ensure that the deployed model meets your enterprise compliance requirements for data privacy, ensuring that prompt and completion data are not used to train Microsoft base models. Which deployment type should you select?
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
✓
Global Standard deployment
Standard deployments in Azure OpenAI Service ensure that customer data is not used to train Microsoft base models. Data-zone residency applies by default to standard deployments in supported regions.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Global Standard deployment
Why this is correct
Standard deployments guarantee that prompt and completion data are not used for training base models.
- ✗
Classic Azure OpenAI fine-tuned model deployment
Why it's wrong here
Fine-tuned deployments utilize custom training data, which is outside the scope of base model training privacy controls.
- ✗
Data Zone Standard deployment with model tuning enabled
Why it's wrong here
Model tuning actively involves using training data to customize a model, which contradicts the privacy requirement.
- ✗
Provisioned Throughput deployment
Why it's wrong here
Provisioned Throughput is used for guaranteed capacity and fine-tuned models, not required solely for data privacy guarantees.
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 Microsoft exam blueprint
This AI-103 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-103 exam.