AI-102 Implement generative AI solutions Practice Question
You are deploying a generative AI application that uses Azure OpenAI Service. You need to ensure that the application can handle sudden spikes in traffic without exceeding your quota. Which scaling strategy should you implement?
⚠ Common exam trap
It's easy for candidates to assume 'pay-as-you-go' implies automatic scaling, but Azure OpenAI's pay-as-you-go is a consumption-based model with fixed rate limits, not elastic scaling, whereas provisioned throughput with auto-scaling is the correct mechanism for handling spikes within quota.
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 a provisioned throughput deployment with auto-scaling.
Provisioned throughput (PTU) deployments with auto-scaling are designed to handle sudden traffic spikes by automatically adjusting capacity within your configured limits, ensuring consistent performance without exceeding quota. This approach provides reserved throughput that can scale up during demand surges and scale down when traffic subsides, unlike pay-as-you-go which is subject to global rate limits and may throttle during spikes.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use a Pay-as-you-go deployment and rely on Azure's automatic scaling.
Why it's wrong here
Pay-as-you-go has a fixed TPM limit and does not auto-scale beyond quota.
- ✓
Configure a provisioned throughput deployment with auto-scaling.
Why this is correct
Provisioned throughput allows you to define a base and max TPM, auto-scaling within quota.
- ✗
Create a deployment with a high base TPM and manually adjust during peak times.
Why it's wrong here
Manual scaling is not automatic and may cause delays.
- ✗
Deploy multiple instances of the model in different regions.
Why it's wrong here
Instances don't increase quota; each has its own limit.
Go deeper
Related to this question
About these practice questions
One of 945 original AI-102 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 by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI-102 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-102 exam.