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
Conversational Language Understanding extracts intents and entities from existing text, so it cannot convert call audio into a transcript. It is tempting because call analysis often follows transcription, but CLU is the correct choice for classifying intent once text already exists.
- ✓
Azure AI Speech-to-Text
Why this is correct
Azure AI Speech-to-Text converts spoken audio into written transcripts, directly satisfying the requirement to transcribe customer service calls. Its real-time and batch transcription APIs handle telephony audio formats, enabling downstream text analysis without manual effort.
- ✗
Azure AI Translator
Why it's wrong here
Azure AI Translator converts text between languages; it accepts text input and cannot process call audio into a transcript. It is tempting because transcribed calls are often translated afterwards, but Translator is the correct choice when the source material is already text.
- ✗
Azure AI Text-to-Speech
Why it's wrong here
Azure AI Text-to-Speech synthesises spoken audio from written text, the reverse direction of transcription. It is tempting because both involve speech, but Text-to-Speech is the correct choice when you need to generate voice output from a script.
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