AI-103 Implement Generative AI And Agentic Solutions Practice Question
You are implementing an agentic workflow where an agent executes tools that modify corporate data. To adhere to Responsible AI principles, you must ensure a human reviewer approves sensitive tool actions before they are executed. What design pattern should you implement in Azure AI Agent Service?
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
✓
Human-in-the-loop (HITL) approval workflow for tool execution
Human-in-the-loop (HITL) review pauses agent execution before tool calls that perform write or destructive actions, awaiting explicit human approval.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Fully autonomous agent loop with max iterations set to 50
Why it's wrong here
Fully autonomous loops execute actions without human oversight, violating safety requirements for sensitive modifications.
- ✓
Human-in-the-loop (HITL) approval workflow for tool execution
Why this is correct
HITL pauses the agent's tool execution loop, presenting the proposed action to a human reviewer for approval.
- ✗
Azure API Management rate limiting policy
Why it's wrong here
Rate limiting restricts request volumes, not tool action authorization.
- ✗
Asynchronous event grid notification after tool execution
Why it's wrong here
Notifying after execution is reactive; sensitive actions require preventative approval before execution.
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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.