AI-102 Practice Question: Implement natural language processing solutions
You need to transcribe customer service calls into text for analysis. Which Azure service should you use?
⚠ Common exam trap
Many exam-takers confuse 'understanding language' (CLU) with 'transcribing speech' (Speech-to-Text), assuming CLU can directly process audio, when in reality CLU only works on text input.
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 Speech-to-Text
Azure AI Speech-to-Text (B) is the correct service for transcribing audio recordings of customer service calls into text. It provides real-time or batch transcription of spoken language, which is exactly what the scenario requires for subsequent analysis. The other services handle different tasks: understanding intent, translating text, or generating speech.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Conversational Language Understanding
Why it's wrong here
CLU extracts intents and entities from text, not transcription.
- ✓
Azure AI Speech-to-Text
Why this is correct
Speech-to-Text transcribes audio into text.
- ✗
Azure AI Translator
Why it's wrong here
Translator translates text between languages.
- ✗
Azure AI Text-to-Speech
Why it's wrong here
Text-to-Speech converts text to audio.
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