AI-102 Practice Question: Implement natural language processing solutions
Your organization needs to analyze customer feedback from social media posts to determine the sentiment (positive, negative, neutral). The solution must process up to 10,000 posts per day and provide a confidence score for each sentiment. Which Azure AI service should you use?
⚠ Common exam trap
A common mix-up: candidates confuse Azure AI Language Service with LUIS, assuming both are for language understanding, but LUIS is specifically for intent and entity extraction in conversational AI, not for general sentiment analysis with confidence scores.
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 Language Service
Azure AI Language Service provides pre-built sentiment analysis capabilities that can process up to 10,000 posts per day and return a confidence score for each sentiment (positive, negative, neutral). This service is specifically designed for natural language processing tasks like sentiment analysis, making it the correct choice for analyzing customer feedback from social media posts.
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 Speech Service
Why it's wrong here
Speech Service transcribes and synthesises audio, so it cannot derive sentiment from written social media posts at all. It is tempting because it does return confidence scores, but those relate to speech recognition accuracy; text sentiment requires Azure AI Language.
- ✓
Azure AI Language Service
Why this is correct
Azure AI Language Service provides sentiment analysis with per-document confidence scores for positive, negative, and neutral labels, directly meeting the stem's scoring requirement. Its hosted endpoint scales to handle 10,000 daily social media posts without custom model training, unlike Azure AI Vision or Speech, which address different modalities.
- ✗
Azure AI Translator
Why it's wrong here
Azure AI Translator converts text between languages; it returns translated strings, not sentiment labels or confidence scores. It is tempting because it is a text-analytics service handling social posts, but sentiment scoring with confidence values is delivered by Azure AI Language, which the correct option names.
- ✗
Azure AI Language Understanding (LUIS)
Why it's wrong here
LUIS extracts intents and entities from utterances using a trained model, so it returns no built-in sentiment score for arbitrary posts. It is tempting as a text-processing service, but it suits conversational command routing, whereas Azure AI Language provides prebuilt sentiment analysis out of the box.
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Senior Network & Security Engineer · founder of Courseiva
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