Implement knowledge mining and document intelligence solutions →mediumMultiple ChoiceObjective-mapped
AI-102 Practice Question: Implement knowledge mining and document intelligence solutions
A law firm uses Azure Document Intelligence to extract clauses from legal contracts. They have a custom model trained on 15 labeled contracts. The model extracts clauses with high confidence on similar documents but fails to extract correct clauses from a new batch of contracts that have a different font and layout. The firm needs to improve extraction accuracy without retraining the model from scratch. The solution must minimize manual effort and cost. What should they do?
⚠ Common exam trap
Watch out — candidates often assume retraining with more data (Option C) is always the best solution, but they overlook the composed model feature which is specifically designed to handle layout variations with minimal additional labeling and cost.
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
✓
Create a composed model that includes the existing model and a new model trained on 5 contracts with the new layout
Creating a composed model in Azure Document Intelligence allows you to combine the existing model (trained on the original layout) with a new model trained on just 5 labeled contracts from the new layout. This approach improves accuracy on the new layout without retraining from scratch, minimizing manual effort and cost by leveraging the composed model's ability to route documents to the appropriate sub-model based on layout similarity.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use the prebuilt-layout model to extract clauses instead
Why it's wrong here
Prebuilt models do not extract custom clauses.
- ✗
Increase the OCR confidence threshold in the analysis request
Why it's wrong here
OCR confidence threshold does not affect layout adaptation.
- ✗
Label 15 more contracts with the original layout and retrain the model
Why it's wrong here
This does not address the new layout variation.
- ✓
Create a composed model that includes the existing model and a new model trained on 5 contracts with the new layout
Why this is correct
A composed model can handle multiple layouts by combining models.
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