Question 349 of 988

Implement knowledge mining and information extraction solutions →hardMultiple 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.

{
  "skills": [
    {
      "@odata.type": "#Microsoft.Skills.Text.SplitSkill",
      "name": "#1",
      "context": "/document",
      "inputs": [
        {"name": "text", "source": "/document/content"},
        {"name": "textSplitMode", "source": "pages"},
        {"name": "maximumPageLength", "source": 5000}
      ],
      "outputs": [
        {"name": "textItems", "targetName": "pages"}
      ]
    },
    {
      "@odata.type": "#Microsoft.Skills.Text.V3.SentimentSkill",
      "name": "#2",
      "context": "/document/pages/*",
      "inputs": [
        {"name": "text", "source": "/document/pages/*"}
      ],
      "outputs": [
        {"name": "sentiment", "targetName": "sentimentLabel"},
        {"name": "confidenceScores", "targetName": "confidenceScores"}
      ]
    }
  ]
}

You are reviewing the skillset definition for an Azure AI Search indexer. The SplitSkill splits the document content into pages of 5000 characters. The SentimentSkill is set to run on each page. However, the sentiment analysis is not producing correct results. 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 1hardmultiple choice

Full question →

Exhibit

Refer to the exhibit.

{
  "skills": [
    {
      "@odata.type": "#Microsoft.Skills.Text.SplitSkill",
      "name": "#1",
      "context": "/document",
      "inputs": [
        {"name": "text", "source": "/document/content"},
        {"name": "textSplitMode", "source": "pages"},
        {"name": "maximumPageLength", "source": 5000}
      ],
      "outputs": [
        {"name": "textItems", "targetName": "pages"}
      ]
    },
    {
      "@odata.type": "#Microsoft.Skills.Text.V3.SentimentSkill",
      "name": "#2",
      "context": "/document/pages/*",
      "inputs": [
        {"name": "text", "source": "/document/pages/*"}
      ],
      "outputs": [
        {"name": "sentiment", "targetName": "sentimentLabel"},
        {"name": "confidenceScores", "targetName": "confidenceScores"}
      ]
    }
  ]
}

A
The maximumPageLength of 5000 is too high for sentiment analysis
Why wrong: No such limitation.
B
The input source for SentimentSkill should be '/document/pages/*' but the SplitSkill output is named 'pages', so the input should be '/document/pages'
The input source should map to the output of the split skill, which is named 'pages'.
C
The context of the SentimentSkill is set to an array, which is not supported
Why wrong: Context can be an array to iterate.
D
The SentimentSkill uses an incorrect @odata.type version
Why wrong: The V3 version is valid.

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 input source for SentimentSkill should be '/document/pages/*' but the SplitSkill output is named 'pages', so the input should be '/document/pages'

Option C is correct because the SentimentSkill context is '/document/pages/*', which iterates over each page, but the input source is also '/document/pages/*', which should be the text from each page. However, the issue is that the SentimentSkill expects a single string, but the SplitSkill outputs an array. The input should be '/document/pages/*' but that is an array; the correct mapping would be to use the split output correctly. Actually, the error is that the input source should be '/document/pages/*' which is the array item, but the sentiment skill might be receiving an array instead of a string if not properly configured. Option C identifies that the input source should be the textItems from the split output. Option A is wrong because the skill version is fine. Option B is wrong because context can be arrays. Option D is wrong because the maximumPageLength is valid.

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 maximumPageLength of 5000 is too high for sentiment analysis
Why it's wrong here
No such limitation.
✓
The input source for SentimentSkill should be '/document/pages/*' but the SplitSkill output is named 'pages', so the input should be '/document/pages'
Why this is correct
The input source should map to the output of the split skill, which is named 'pages'.
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 context of the SentimentSkill is set to an array, which is not supported
Why it's wrong here
Context can be an array to iterate.
✗
The SentimentSkill uses an incorrect @odata.type version
Why it's wrong here
The V3 version is valid.

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.

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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 input source for SentimentSkill should be '/document/pages/*' but the SplitSkill output is named 'pages', so the input should be '/document/pages' — Option C is correct because the SentimentSkill context is '/document/pages/*', which iterates over each page, but the input source is also '/document/pages/*', which should be the text from each page. However, the issue is that the SentimentSkill expects a single string, but the SplitSkill outputs an array. The input should be '/document/pages/*' but that is an array; the correct mapping would be to use the split output correctly. Actually, the error is that the input source should be '/document/pages/*' which is the array item, but the sentiment skill might be receiving an array instead of a string if not properly configured. Option C identifies that the input source should be the textItems from the split output. Option A is wrong because the skill version is fine. Option B is wrong because context can be arrays. Option D is wrong because the maximumPageLength is valid.

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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