AI-103 Text Analysis Practice Question
You are building a custom named entity recognition model in Language Studio. You want to extract product serial numbers that follow a specific pattern (two uppercase letters followed by four digits, a hyphen, and three digits). Which entity type definition method should you use?
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 entity type
When defining custom entities with rigid patterns, you can use a 'Regex' (regular expression) component to extract items matching exact rules.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
List entity type
Why it's wrong here
List entities require exhaustive enumeration of every possible value, which is impractical for patterns with thousands of variations.
- ✗
Learned entity type
Why it's wrong here
Learned entities rely on context and training data rather than strict regular expression patterns.
- ✓
Regex entity type
Why this is correct
Regex entity components allow you to define strict pattern matching for structured codes like serial numbers.
- ✗
Prebuilt entity type
Why it's wrong here
Prebuilt entities cover standard items like dates and numbers, not custom product serial number patterns.
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.