AI-102 Plan and manage an Azure AI solution Practice Question
A company uses Azure AI Document Intelligence to extract data from invoices. Recently, extraction accuracy dropped for new vendor formats. Which strategy should you implement to improve accuracy without retraining the entire model?
⚠ Common exam trap
Watch out — candidates often confuse confidence threshold tuning (a post-processing filter) with actual model improvement, or assume that switching to a different Azure AI service (like Language) can handle structured document extraction, when in fact Document Intelligence's custom training is the only correct path for adapting to new formats without full retraining.
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
✓
Train a custom extraction model using labeled examples from the new vendor formats.
Training a custom extraction model using labeled examples from the new vendor formats allows Azure AI Document Intelligence to learn the specific layout and field patterns of those invoices without affecting the prebuilt model's performance on other formats. This approach leverages the custom model training capability, which is designed to adapt to unique document structures while preserving the existing extraction logic for previously supported formats.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Train a custom extraction model using labeled examples from the new vendor formats.
Why this is correct
Custom models adapt to specific layouts and improve accuracy.
- ✗
Increase the confidence threshold for extraction results.
Why it's wrong here
Threshold adjustment filters low-confidence results but does not improve recognition.
- ✗
Switch from Document Intelligence to Azure AI Language service.
Why it's wrong here
Language service is for text analytics, not document extraction.
- ✗
Increase the number of transactions per second (TPS) limit.
Why it's wrong here
TPS scaling affects throughput, not accuracy.
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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.