AI-102 Practice Question: Implement natural language processing solutions
A company uses Azure AI Speech to transcribe customer service calls. They need to identify callers by name and account number. Which feature should be enabled?
⚠ Common exam trap
Test-takers frequently confuse speaker recognition (identifying who spoke) with speech recognition (transcribing what was said), leading them to select Option A when the actual need is to improve transcription accuracy for specific terms.
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
✓
Custom speech model
A custom speech model is required because the company needs to recognize specific domain terms like caller names and account numbers, which are not part of the default base speech model. By training a custom speech model with relevant audio and text data, Azure AI Speech can accurately transcribe these specialized terms, improving recognition accuracy for the call center scenario.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Speaker recognition
Why it's wrong here
Speaker recognition identifies who is speaking, not specific words.
- ✗
Pronounciation assessment
Why it's wrong here
Pronounciation assessment evaluates pronunciation.
- ✗
Batch transcription
Why it's wrong here
Batch transcription is for large volumes, not real-time.
- ✓
Custom speech model
Why this is correct
Custom speech models improve recognition of domain-specific terms.
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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.