AI-300 Genaiops Infrastructure Practice Question
You are configuring an agent orchestration system using Prompt Flow. You need to capture trace data for every step in the agent's reasoning process. Which infrastructure component must be enabled to visualize this in Azure AI Foundry?
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
✓
Enable Azure Monitor diagnostic settings to stream Prompt Flow logs to a Log Analytics workspace.
Enabling the connection to an Azure Log Analytics workspace within the Prompt Flow project settings allows for the storage and visualization of trace data.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Configure the Prompt Flow runtime to use a Managed Identity with read access to the Blob Storage account.
Why it's wrong here
Managed Identity is for authentication, not for enabling the logging of execution traces.
- ✗
Deploy a specialized Azure Function to intercept and log flow run events.
Why it's wrong here
Prompt Flow has built-in native logging capabilities that do not require an intercepting Azure Function.
- ✗
Increase the timeout threshold in the runtime environment settings.
Why it's wrong here
Timeout settings manage execution duration, not observability or trace capturing.
- ✓
Enable Azure Monitor diagnostic settings to stream Prompt Flow logs to a Log Analytics workspace.
Why this is correct
Diagnostic settings are the standard mechanism to capture and store detailed execution traces from Prompt Flow.
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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-300 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-300 exam.