The answer is outputFieldMappings and field mappings. OutputFieldMappings are specifically designed to map the outputs generated by skills within a skillset to the fields in your search index, while field mappings handle the direct transfer of source data fields to index fields without passing through skill processing. This distinction is critical because skillset outputs are considered intermediate data that must be explicitly routed to index fields, whereas indexer outputs represent the final data ready for indexing. On the AI-102 exam, this concept tests your understanding of the Azure AI Search enrichment pipeline, often appearing in scenario-based questions where you must choose the correct mapping type for a given data flow. A common trap is confusing outputFieldMappings with field mappings—remember that field mappings are for raw source data, and outputFieldMappings are for enriched skill outputs. A useful memory tip: think of "output" as coming from skills, and "field" as coming from the source.
AI-102 Practice Question: Implement knowledge mining and information extraction solutions
This AI-102 practice question tests your understanding of implement knowledge mining and information extraction solutions. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
Which TWO Azure AI Search features are used to map skill outputs to search index fields? (Select TWO.)
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
outputFieldMappings
outputFieldMappings map outputs from skills to index fields. Field mappings map source data fields to index fields directly. Skillset outputs are intermediate; indexer outputs are final.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
indexer parameters
Why it's wrong here
Indexer parameters control batch size, concurrency, etc., not field mapping.
✓
outputFieldMappings
Why this is correct
outputFieldMappings map skill outputs to index fields.
Related concept
Read the scenario before looking for a memorised answer.
✗
skillset outputs
Why it's wrong here
Skillset outputs are intermediate values referenced by outputFieldMappings.
✗
fieldMappings
Why it's wrong here
fieldMappings map source data fields to index fields, not skill outputs.
✓
index fields
Why this is correct
Index fields are the destination; outputFieldMappings map to them.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Trap categories for this question
Command / output trap
Skillset outputs are intermediate values referenced by outputFieldMappings.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
Use explanations to understand the rule behind the answer.
TExam Day Tips
→Underline the problem statement mentally.
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
Identify which AI-102 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Implement knowledge mining and information extraction solutions — This question tests Implement knowledge mining and information extraction solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: outputFieldMappings — outputFieldMappings map outputs from skills to index fields. Field mappings map source data fields to index fields directly. Skillset outputs are intermediate; indexer outputs are final.
What should I do if I get this AI-102 question wrong?
Identify which AI-102 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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