AI-102 Plan and manage an Azure AI solution Practice Question
You are planning a solution that uses Azure AI Language to analyze customer feedback from social media posts. The solution must: - Detect sentiment (positive, negative, neutral) for each post. - Extract key phrases. - Support English and Spanish languages. - Run asynchronously for a batch of 10,000 posts. - Use the least expensive option that meets requirements. What should you do?
⚠ Common exam trap
It's easy for candidates to assume custom models are required for multilingual support or that translation is necessary, when in fact Azure AI Language's built-in capabilities already cover English and Spanish natively.
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 Azure AI Language service with the built-in sentiment analysis and key phrase extraction capabilities. Process posts in batches using the async API.
Azure AI Language's built-in sentiment analysis and key phrase extraction natively support both English and Spanish, and the async batch API is designed for high-volume processing (e.g., 10,000 posts) at a lower cost than per-document calls. This approach meets all requirements without custom models or translation overhead.
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 Azure AI Language service with the built-in sentiment analysis and key phrase extraction capabilities. Process posts in batches using the async API.
Why this is correct
Built-in features meet requirements at lowest cost; async API handles volume.
- ✗
Build a custom text classification model in Azure AI Language to detect sentiment and extract key phrases.
Why it's wrong here
Custom model requires labeled data and is more expensive than prebuilt.
- ✗
Use the Azure AI Language service with the single-document API for each post.
Why it's wrong here
Single-document API is more expensive per document and not suited for 10,000 posts.
- ✗
Use Azure AI Translator to translate all posts to English, then use Azure AI Language for analysis.
Why it's wrong here
Translation adds cost and is unnecessary since Language supports Spanish.
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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.