AI-102 Plan and manage an Azure AI solution Practice Question
You are designing an Azure AI solution for a global e-commerce company. The solution must: (1) Translate product descriptions into 12 languages in real-time. (2) Detect sentiment in customer reviews for each language. (3) Extract key product attributes (e.g., color, size) from unstructured review text. (4) Store results in a centralized database for analytics. The solution must minimize latency and cost. You plan to use Azure AI services. Which combination of services should you use?
⚠ Common exam trap
Test-takers frequently confuse Azure AI Language's entity extraction with Azure AI Computer Vision or QnA Maker, assuming attribute extraction requires visual analysis or Q&A logic, when in fact it is a text-based NLP task handled by the Language service.
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
✓
Azure AI Translator for translation, Azure AI Language for sentiment and entity extraction, and Azure AI Search to index the results.
Azure AI Translator provides real-time translation into 12 languages, Azure AI Language handles both sentiment analysis and entity extraction (for attributes like color and size) from unstructured text, and Azure AI Search indexes the results for low-latency analytics. This combination minimizes latency by using dedicated services for each task and avoids unnecessary overhead from services like Speech or Computer Vision that are not required for text-only processing.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Azure AI Language for translation and sentiment, and Azure AI Computer Vision for attribute extraction.
Why it's wrong here
Language does not translate; Computer Vision is for images, not text attributes.
- ✗
Azure AI Speech for translation, Azure AI Language for sentiment, and Azure AI Search for storage.
Why it's wrong here
Speech is for audio, not text translation.
- ✗
Azure AI Translator for translation, Azure AI QnA Maker for attribute extraction, and Azure SQL Database for storage.
Why it's wrong here
QnA Maker is not for attribute extraction.
- ✓
Azure AI Translator for translation, Azure AI Language for sentiment and entity extraction, and Azure AI Search to index the results.
Why this is correct
Translator provides real-time translation, Language provides sentiment and entity extraction, and Search stores results for analytics.
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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.