- A
The output field mapping for 'sentiment' is missing or incorrectly defined in the indexer.
Without mapping, skill output is not written to index.
- B
The Sentiment skill is not correctly configured in the skillset.
Why wrong: Skill ran successfully, so configuration is correct.
- C
The indexer is in a failed state and not processing documents.
Why wrong: Indexer runs successfully.
- D
The sentiment field in the index is of type 'Collection(Edm.String)' but the skill outputs a double.
Why wrong: Type mismatch would cause skill error, not silent failure.
Question 967 of 993
Implement knowledge mining and information extraction solutions →mediumMultiple ChoiceObjective-mapped
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.
You are using Azure AI Search to build a knowledge base for a customer support portal. The index includes a 'sentiment' field that should be populated using the Sentiment skill. However, the sentiment scores are not being written to the index. The skillset runs successfully. What is the most likely cause?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"most likely"Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
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
✓
The output field mapping for 'sentiment' is missing or incorrectly defined in the indexer.
Option A is correct because the Sentiment skill outputs a 'double' value for sentiment score, but the indexer requires an explicit output field mapping to write that value into the index's 'sentiment' field. Even when a skillset runs successfully, without a correct output field mapping in the indexer definition, the skill's output is not transferred to the index. The indexer's field mappings control how enriched data flows from the skillset's output nodes to the index fields.
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.
- ✓
The output field mapping for 'sentiment' is missing or incorrectly defined in the indexer.
Why this is correct
Without mapping, skill output is not written to index.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
The Sentiment skill is not correctly configured in the skillset.
Why it's wrong here
Skill ran successfully, so configuration is correct.
- ✗
The indexer is in a failed state and not processing documents.
Why it's wrong here
Indexer runs successfully.
- ✗
The sentiment field in the index is of type 'Collection(Edm.String)' but the skill outputs a double.
Why it's wrong here
Type mismatch would cause skill error, not silent failure.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates assume a successful skillset execution guarantees data is written to the index, but Azure AI Search requires explicit output field mappings in the indexer to bridge skill outputs to index fields, and this step is often overlooked.
Detailed technical explanation
How to think about this question
Under the hood, Azure AI Search indexers process documents through a pipeline: data source → skillset enrichment → output field mappings → index. The output field mappings are defined in the indexer JSON under 'outputFieldMappings', which map skill output names (e.g., '/document/sentiment') to index fields. Without this mapping, the enriched data is computed but never persisted. A real-world scenario is when a developer adds a new skill but forgets to update the indexer's output field mappings, leading to missing data despite successful skill execution.
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.
TExam Day Tips
- 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.
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FAQ
Questions learners often ask
What does this AI-102 question test?
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: The output field mapping for 'sentiment' is missing or incorrectly defined in the indexer. — Option A is correct because the Sentiment skill outputs a 'double' value for sentiment score, but the indexer requires an explicit output field mapping to write that value into the index's 'sentiment' field. Even when a skillset runs successfully, without a correct output field mapping in the indexer definition, the skill's output is not transferred to the index. The indexer's field mappings control how enriched data flows from the skillset's output nodes to the index fields.
What should I do if I get this AI-102 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Are there clue words in this question I should notice?
Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jul 4, 2026
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