AI-103 Information Extraction Practice Question
Which TWO metrics are reported by Document Intelligence Studio to evaluate model performance?
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
✓
Recall
Precision and Recall are the core metrics provided for every field in a custom model.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Recall
Why this is correct
Included in evaluation.
- ✗
Throughput
Why it's wrong here
Throughput is an operational metric.
- ✗
Latencey
Why it's wrong here
Latency is not a model quality metric.
- ✓
Precision
Why this is correct
Included in evaluation.
- ✗
Confidence score
Why it's wrong here
Confidence is per-extraction, not a model evaluation metric.
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.