AI-103 Text Analysis Practice Question
You are building an application that extracts named entities from technical specifications. You need to ensure that entity extraction respects casing requirements for part numbers (e.g., 'Model-X' vs 'Model-x'). Where can you configure case sensitivity for custom NER projects?
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
✓
In the project settings within Language Studio during project creation.
When creating a custom NER project in Language Studio, you can specify project settings such as whether entity extraction and text evaluation should be case-sensitive or case-insensitive.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
In the HTTP request headers of every API call.
Why it's wrong here
Case sensitivity is a model training and project property, not an HTTP header.
- ✗
In the Azure Monitor diagnostics logs.
Why it's wrong here
Diagnostic logs record runtime telemetry.
- ✗
In the Azure portal subscription access control blade.
Why it's wrong here
Access control manages permissions, not NER case sensitivity.
- ✓
In the project settings within Language Studio during project creation.
Why this is correct
Case sensitivity settings are configured at the project level in Language Studio.
About these practice questions
Courseiva writes every AI-103 question from scratch — 510 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →
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.