Implement knowledge mining and information extraction solutions →mediumMultiple ChoiceObjective-mapped
AI-102 Practice Question: Implement knowledge mining and information extraction solutions
Your knowledge mining solution uses Azure AI Document Intelligence to extract data from purchase orders. The extracted data is then indexed by Azure AI Search. You need to ensure that the search index includes the purchase order number and total amount as searchable fields. What should you do?
⚠ Common exam trap
It's easy for candidates to assume Azure AI Document Intelligence's output is automatically indexed by Azure AI Search, but in reality, you must explicitly define a custom skill and outputFieldMappings to transfer extracted fields into the search index.
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 custom skill that calls Azure AI Document Intelligence and returns extracted fields, then use outputFieldMappings to map to index fields.
Azure AI Document Intelligence extracts structured data (like PO number and total amount) from documents, but this data must be explicitly mapped to Azure AI Search index fields using outputFieldMappings in a custom skill. The custom skill invokes Document Intelligence via the Skillset, and outputFieldMappings bridge the extracted fields to the search index schema, making them searchable. This approach ensures the extracted fields are ingested into the index without manual intervention.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Create a custom skill that calls Azure AI Document Intelligence and returns extracted fields, then use outputFieldMappings to map to index fields.
Why this is correct
This integrates Document Intelligence into the skillset and maps outputs to index fields.
- ✗
Use Azure AI Document Intelligence's pre-built model to analyze documents and store results in a database, then use a SQL indexer to index the database.
Why it's wrong here
This adds unnecessary complexity; you can directly index from Document Intelligence output.
- ✗
Use the OCR skill to extract text and then use regular expressions to find PO number and total.
Why it's wrong here
OCR is for images; Document Intelligence is designed for structured extraction.
- ✗
Manually enter the extracted data into the search index.
Why it's wrong here
Not scalable or automated.
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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.