AI-102 Plan and manage an Azure AI solution Practice Question
You have an Azure AI solution that uses Azure AI Language to perform sentiment analysis. The solution is experiencing high latency. Which action should you take to reduce latency?
⚠ Common exam trap
Watch out — candidates often confuse network latency (solved by region proximity) with service throughput latency (solved by scaling), leading them to incorrectly choose Option A when the real bottleneck is capacity, not geography.
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
✓
Scale the service by increasing the number of instances or using a higher pricing tier.
Scaling the Azure AI Language service by increasing the number of instances or moving to a higher pricing tier (e.g., from Standard S0 to a tier with higher throughput) directly addresses high latency by providing more capacity to handle concurrent requests. High latency often results from hitting the service's rate limits or throughput constraints, and scaling alleviates this bottleneck without changing the underlying architecture.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Move the service to a different Azure region.
Why it's wrong here
Latency may not be region-related.
- ✗
Use the Free tier of the Azure AI Language service.
Why it's wrong here
Free tier has lower limits and may increase latency.
- ✗
Increase the request timeout value.
Why it's wrong here
Timeout does not affect processing speed.
- ✓
Scale the service by increasing the number of instances or using a higher pricing tier.
Why this is correct
More capacity reduces queuing and latency.
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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.