AI-300 Genaiops Infrastructure Practice Question
You are deploying a high-throughput Large Language Model on Azure AI Foundry. You need to ensure the underlying infrastructure supports rapid auto-scaling based on request latency. Which configuration should you prioritize in the deployment settings?
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
✓
Configure the 'Scale' settings in the deployment to use a custom metric based on 'Request Latency'.
Auto-scaling for Azure AI Model Catalog deployments is managed via the 'Scale' tab, specifically targeting 'Instances' to handle request concurrency.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Enable 'Load Balancing' in the Azure AI Search resource.
Why it's wrong here
Azure AI Search load balancing does not scale model inference endpoints.
- ✓
Configure the 'Scale' settings in the deployment to use a custom metric based on 'Request Latency'.
Why this is correct
Scaling by latency ensures infrastructure expands before performance degrades.
- ✗
Increase the 'Quota' of the underlying Azure subscription.
Why it's wrong here
Quota limits the maximum capacity but does not automate scaling.
- ✗
Set the minimum instance count to 0 in the deployment configuration.
Why it's wrong here
Setting min to 0 is for cost-saving, not latency-based scaling.
About these practice questions
This AI-300 question is part of Courseiva's 204-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. 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-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.