AI-300 Mlops Infrastructure Practice Question
You are deploying a model as a real-time endpoint. You want to ensure the deployment can handle sudden spikes in traffic. Which scaling configuration should you enable?
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
✓
Auto-scaling
Auto-scaling allows the endpoint to dynamically adjust node count based on CPU/Memory usage.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Auto-scaling
Why this is correct
Auto-scaling dynamically adjusts resources based on defined metrics like CPU utilization.
- ✗
Static node count
Why it's wrong here
Static counts do not adjust to traffic spikes.
- ✗
Batch deployment
Why it's wrong here
Batch deployment is for offline processing, not real-time spikes.
- ✗
Pre-warmed instances
Why it's wrong here
While helpful, it doesn't scale automatically based on incoming load.
- ✗
None of the above
Why it's wrong here
Auto-scaling is the correct mechanism.
About these practice questions
Courseiva writes every AI-300 question from scratch — 204 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or 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.