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Implement knowledge mining and information extraction solutions →hardMultiple ChoiceObjective-mapped

AI-102 Skillset context Practice Question

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. A key principle to apply: skillset context. 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

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

Refer to the exhibit. You have this skillset definition for an Azure AI Search enrichment pipeline. You notice that the entity recognition skill is not executing on any document. 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.

Exhibit

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

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 path in the entity recognition skill should be relative to the context, not absolute

The entity recognition skill has its context set to '/document/pages/*', which means it iterates over each page in the split output. However, its input source is '/document/pages/*' (absolute path), which points to the entire page array element rather than the text content within each page. The input source should be relative to the context, e.g., 'text' if the page had a property, or simply the context itself if the page is a string. Using an absolute path that matches the context can cause the skill to fail because it expects a scalar input, but the context iteration provides the array element. Therefore, the correct fix is to make the input source relative, such as using 'text' or '/document/pages/*/text' appropriately. Option D correctly identifies this issue.

Key principle: Skillset context

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 entity recognition skill requires a language code that is missing

    Why it's wrong here

    Missing language would cause an error, but skill would still execute.

  • ✗

    The split skill is not producing pages because the content is too short

    Why it's wrong here

    Split skill will produce at least one page regardless of length.

  • ✗

    The entity recognition skill is not registered in the skillset

    Why it's wrong here

    It is present in the skillset definition.

  • ✓

    The input source path in the entity recognition skill should be relative to the context, not absolute

    Why this is correct

    The absolute path '/document/pages/*' conflicts with the context; relative path should be used.

    Clue confirmation

    The clue word "most likely" in the question point toward this answer.

    Related concept

    Skillset context

Common exam traps

Common exam trap: answer the scenario, not the keyword

In Azure AI Search skillsets, input source paths must be relative to the skill's context when the context iterates over an array, unless the absolute path points to a property of the array element. Using an absolute path that equals the context path can cause the skill to not execute.

Detailed technical explanation

How to think about this question

Treat this as a scenario question. Identify the problem, the constraint, and the best action. Then compare each option against those facts.

KKey Concepts to Remember

  • Skillset context
  • Input source path

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

Skillset context

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. Skillset context 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.

Review skillset context, then practise related AI-102 questions on the same topic to reinforce the concept.

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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 — Skillset context.

What is the correct answer to this question?

The correct answer is: The input source path in the entity recognition skill should be relative to the context, not absolute — The entity recognition skill has its context set to '/document/pages/*', which means it iterates over each page in the split output. However, its input source is '/document/pages/*' (absolute path), which points to the entire page array element rather than the text content within each page. The input source should be relative to the context, e.g., 'text' if the page had a property, or simply the context itself if the page is a string. Using an absolute path that matches the context can cause the skill to fail because it expects a scalar input, but the context iteration provides the array element. Therefore, the correct fix is to make the input source relative, such as using 'text' or '/document/pages/*/text' appropriately. Option D correctly identifies this issue.

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

Review skillset context, then practise related AI-102 questions on the same topic to reinforce the concept.

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?

Skillset context

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Last reviewed: Jun 20, 2026

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