The answer is to implement a custom skill that checks the document size and only calls the built-in skills if the document exceeds 1 MB. This approach is correct because Azure Cognitive Search skillsets execute all skills sequentially on every document by default, with no native conditional logic to skip enrichment based on document properties like size. A custom skill acts as a gatekeeper, evaluating the document’s metadata or content length, and then conditionally invoking the built-in named entity and key phrase extraction skills only when the size threshold is met. On the AI-102 exam, this scenario tests your understanding of skillset extensibility and the limits of built-in pipeline control; a common trap is assuming indexer parameters or skill ordering can handle content-based conditions, but they cannot. Remember the mnemonic “Custom Check, Conditional Call” — if you need to trigger enrichment based on document attributes, you must write a custom skill to evaluate and route execution.
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. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 implementing a knowledge mining solution using Azure Cognitive Search with built-in AI enrichment. The pipeline must extract named entities and key phrases from documents. The enrichment pipeline should be triggered only for documents that are larger than 1 MB. Which approach should you use?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Implement a custom skill that checks the document size and only calls the built-in skills if size > 1 MB.
Option D is correct because a custom skill can evaluate document size and conditionally call built-in skills. Option A is wrong because skills run on all documents regardless of size. Option B is wrong because indexer parameters cannot conditionally skip skills based on document content. Option C is wrong because skillset execution order cannot be changed by document size.
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.
✗
Configure the skillset to run entity recognition and key phrase extraction on all documents.
Why it's wrong here
This would run on all documents, not just those >1 MB.
✓
Implement a custom skill that checks the document size and only calls the built-in skills if size > 1 MB.
Why this is correct
A custom skill can conditionally run built-in skills based on document properties.
Related concept
Read the scenario before looking for a memorised answer.
✗
Use indexer parameters to specify a document size filter.
Why it's wrong here
Indexer parameters cannot filter by document content size.
✗
Create two indexers: one for large documents with skills, one for small documents without.
Why it's wrong here
This is inefficient and not a standard approach.
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.
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: Implement a custom skill that checks the document size and only calls the built-in skills if size > 1 MB. — Option D is correct because a custom skill can evaluate document size and conditionally call built-in skills. Option A is wrong because skills run on all documents regardless of size. Option B is wrong because indexer parameters cannot conditionally skip skills based on document content. Option C is wrong because skillset execution order cannot be changed by document size.
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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