AI-200 Data Management Services And Vector Search Practice Question
You are designing a secure enterprise generative AI platform using Azure AI Search and Azure OpenAI. Which THREE security practices should you implement to protect sensitive data and access? (Choose three)
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
✓
Implement Azure RBAC to restrict index management and data query permissions
Securing AI search and embedding stores involves using managed identities, restricting network access via private endpoints, and enforcing role-based access control.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Implement Azure RBAC to restrict index management and data query permissions
Why this is correct
Role-based access control enforces least privilege access to search indices.
- ✓
Use Microsoft Entra ID managed identities for secure authentication between services
Why this is correct
Managed identities eliminate hardcoded API keys and secrets.
- ✗
Disable transport layer security (TLS) to speed up embedding transmission
Why it's wrong here
Disabling TLS exposes data in transit and violates security standards.
- ✗
Store all API keys in plain text configuration files on public web servers
Why it's wrong here
Storing keys in plain text files on public servers is a severe security vulnerability.
- ✓
Configure Azure Private Endpoints for the Azure AI Search and Azure OpenAI services
Why this is correct
Private endpoints ensure traffic flows securely over the Microsoft backbone without traversing the public internet.
Quick reference
Access Control Model Comparison
| Model | Acronym | Who Controls Access? | Best For |
|---|---|---|---|
| Discretionary Access Control | DAC | Resource owner | Small teams, file shares |
| Mandatory Access Control | MAC | System / security labels | Classified govt / military |
| Role-Based Access Control | RBAC | Administrator (via roles) | Enterprise environments |
| Attribute-Based Access Control | ABAC | Policy engine (user + resource attributes) | Fine-grained, dynamic policies |
| Rule-Based Access Control | RuBAC | System rules / ACLs | Firewall rules, network ACLs |
About these practice questions
One of 507 original AI-200 practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. Learn why practice questions differ from exam dumps →
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-200 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-200 exam.