AI-102 Plan and manage an Azure AI solution Practice Question
You are planning to deploy an Azure AI solution that uses Azure AI Language to analyze text. The solution must be able to process a high volume of requests and provide a service-level agreement (SLA) for availability. You need to choose the appropriate pricing tier. What should you do?
⚠ Common exam trap
The trap here is assuming that multiple Free tier resources can collectively meet production needs, but they do not provide an SLA and have per-resource limits.
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
✓
Use the Standard (S) tier for the Azure AI Language resource.
The Standard tier is designed for production workloads, offering higher throughput limits and an SLA. The Free tier is for evaluation only and lacks an SLA. Therefore, the Standard tier is necessary to meet the high-volume and availability requirements.
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 the Free (F0) tier for each Azure AI Language resource to minimize costs.
Why it's wrong here
The Free tier is intended for evaluation and has strict limits on transactions per minute and total calls. It does not provide an SLA and cannot handle high-volume production workloads. Using it would result in throttling and potential outages, failing the availability requirement.
- ✗
Use the Standard (S) tier only for development and switch to Free (F0) for production to save costs.
Why it's wrong here
The Free tier lacks an SLA and has low throughput limits, so it is unsuitable for production. Switching to Free would violate the availability requirement and likely cause throttling. The Standard tier should be used for production to ensure reliability and performance.
- ✗
Use multiple Free (F0) resources and load-balance requests across them.
Why it's wrong here
Each Free tier resource has strict quotas, and load-balancing across them does not provide an SLA. The combined throughput may still be insufficient, and managing multiple free resources adds complexity without meeting the availability requirement. The Standard tier is the correct production choice.
- ✓
Use the Standard (S) tier for the Azure AI Language resource.
Why this is correct
The Standard tier supports high-volume requests, provides an SLA for availability, and is designed for production workloads. It allows you to scale as needed and ensures that the service meets performance requirements. This is the appropriate choice for a solution that must process many requests reliably.
Go deeper
Related to this question
About these practice questions
Courseiva writes every AI-102 question from scratch — 761 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 September 2026 · checked against the official Microsoft exam blueprint
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.