Question 80 of 988

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. 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.

Exhibit

Refer to the exhibit.

{
  "name": "my-skillset",
  "skills": [
    {
      "@odata.type": "#Microsoft.Skills.Text.V3.EntityRecognitionSkill",
      "categories": [ "Organization", "Person", "Location" ],
      "defaultLanguageCode": "en",
      "inputs": [ { "name": "text", "source": "/document/content" } ],
      "outputs": [ { "name": "entities", "targetName": "entities" } ]
    },
    {
      "@odata.type": "#Microsoft.Skills.Text.KeyPhraseExtractionSkill",
      "defaultLanguageCode": "en",
      "inputs": [ { "name": "text", "source": "/document/content" } ],
      "outputs": [ { "name": "keyPhrases", "targetName": "keyPhrases" } ]
    }
  ]
}

You have an Azure AI Search skillset defined as shown in the exhibit. When you run the indexer, the enrichment pipeline produces outputs but no entities are extracted. The source documents are in English and contain clear organization and person names. 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.

Question 1mediummultiple choice

Full question →

Exhibit

Refer to the exhibit.

{
  "name": "my-skillset",
  "skills": [
    {
      "@odata.type": "#Microsoft.Skills.Text.V3.EntityRecognitionSkill",
      "categories": [ "Organization", "Person", "Location" ],
      "defaultLanguageCode": "en",
      "inputs": [ { "name": "text", "source": "/document/content" } ],
      "outputs": [ { "name": "entities", "targetName": "entities" } ]
    },
    {
      "@odata.type": "#Microsoft.Skills.Text.KeyPhraseExtractionSkill",
      "defaultLanguageCode": "en",
      "inputs": [ { "name": "text", "source": "/document/content" } ],
      "outputs": [ { "name": "keyPhrases", "targetName": "keyPhrases" } ]
    }
  ]
}

A
The skill output is not mapped to the index.
Why wrong: Output mapping is not required for skill execution.
B
The skills are in the wrong order.
Why wrong: Order does not affect entity extraction.
C
The documents are not in English.
Why wrong: The source is English.
D
The '/document/content' field is an array, but the skill expects a string.
EntityRecognitionSkill expects a string input.

Full breakdown with real-world context →

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 '/document/content' field is an array, but the skill expects a string.

The default version of EntityRecognitionSkill (V3) requires the 'text' input to be a string, not an array. If '/document/content' is an array (e.g., from OCR output), the skill fails silently. Option A is wrong because the language is correct. Option B is wrong because the skill outputs are configured. Option D is wrong because the skill is in the correct order (no dependency).

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 skill output is not mapped to the index.
Why it's wrong here
Output mapping is not required for skill execution.
✗
The skills are in the wrong order.
Why it's wrong here
Order does not affect entity extraction.
✗
The documents are not in English.
Why it's wrong here
The source is English.
✓
The '/document/content' field is an array, but the skill expects a string.
Why this is correct
EntityRecognitionSkill expects a string input.
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.

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
Output mapping is not required for skill execution.

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.

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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 '/document/content' field is an array, but the skill expects a string. — The default version of EntityRecognitionSkill (V3) requires the 'text' input to be a string, not an array. If '/document/content' is an array (e.g., from OCR output), the skill fails silently. Option A is wrong because the language is correct. Option B is wrong because the skill outputs are configured. Option D is wrong because the skill is in the correct order (no dependency).

What should I do if I get this AI-102 question wrong?

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: Jun 20, 2026

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