AI-103 Text Analysis Practice Question
You are configuring custom named entity recognition in Language Studio. Which TWO types of entity components can you configure when defining custom entities? (Choose two.)
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
✓
Regex component
Custom NER projects support Learned entity components (trained from labeled data) and Regex or List components for exact pattern or dictionary matching.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Quantum computation component
Why it's wrong here
Quantum components do not exist in Azure AI Language.
- ✓
Regex component
Why this is correct
Regex components allow pattern-based entity extraction.
- ✗
Neural speech synthesis component
Why it's wrong here
Speech synthesis belongs to Azure AI Speech, not Language NER.
- ✓
Learned component
Why this is correct
Learned components learn from tagged training data.
- ✗
Optical character recognition component
Why it's wrong here
OCR belongs to Azure AI Vision.
About these practice questions
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official Microsoft exam blueprint
This AI-103 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-103 exam.