Question 145 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. 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.

Exhibit

Refer to the exhibit.
```json
{
  "indexers": [
    {
      "name": "my-indexer",
      "dataSourceName": "my-datasource",
      "targetIndexName": "my-index",
      "skillsetName": "my-skillset",
      "schedule": {
        "interval": "PT1H"
      },
      "parameters": {
        "batchSize": 100,
        "maxFailedItems": 10,
        "maxFailedItemsPerBatch": 5,
        "configuration": {
          "dataToExtract": "contentAndMetadata",
          "imageAction": "generateNormalizedImages"
        }
      },
      "fieldMappings": [
        {
          "sourceFieldName": "metadata_storage_path",
          "targetFieldName": "path"
        }
      ],
      "outputFieldMappings": [
        {
          "sourceFieldName": "/document/content",
          "targetFieldName": "content"
        }
      ]
    }
  ]
}
```

You have the above Azure AI Search indexer definition. The indexer runs successfully but the 'content' field in the index is empty for all documents. What is the likely cause?

Question 1hardmultiple choice

Full question →

Exhibit

Refer to the exhibit.
```json
{
  "indexers": [
    {
      "name": "my-indexer",
      "dataSourceName": "my-datasource",
      "targetIndexName": "my-index",
      "skillsetName": "my-skillset",
      "schedule": {
        "interval": "PT1H"
      },
      "parameters": {
        "batchSize": 100,
        "maxFailedItems": 10,
        "maxFailedItemsPerBatch": 5,
        "configuration": {
          "dataToExtract": "contentAndMetadata",
          "imageAction": "generateNormalizedImages"
        }
      },
      "fieldMappings": [
        {
          "sourceFieldName": "metadata_storage_path",
          "targetFieldName": "path"
        }
      ],
      "outputFieldMappings": [
        {
          "sourceFieldName": "/document/content",
          "targetFieldName": "content"
        }
      ]
    }
  ]
}
```

A
The outputFieldMapping references '/document/content' which is not produced by the skillset.
Skillset must output that path.
B
The indexer schedule is too frequent.
Why wrong: Not related to empty content.
C
The fieldMapping for 'metadata_storage_path' is incorrect.
Why wrong: That mapping is for path field, not content.
D
The batchSize is too large, causing some items to fail silently.
Why wrong: Failed items would be tracked.

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 outputFieldMapping references '/document/content' which is not produced by the skillset.

The outputFieldMapping maps '/document/content' to 'content'. However, the skillset (not shown) might not produce this output, or the skill output path is different. But the exhibit shows that the indexer expects '/document/content' to be available from the skillset. If the skillset does not output '/document/content', the field remains empty. Option C is correct: the outputFieldMapping references a path that does not exist in the enrichment tree. Option A is incorrect because the field mapping for 'path' is fine. Option B is incorrect because the indexer runs successfully. Option D is incorrect because batch size does not affect field mapping.

Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.

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 outputFieldMapping references '/document/content' which is not produced by the skillset.
Why this is correct
Skillset must output that path.
Related concept
Static NAT maps one inside address to one outside address.
✗
The indexer schedule is too frequent.
Why it's wrong here
Not related to empty content.
✗
The fieldMapping for 'metadata_storage_path' is incorrect.
Why it's wrong here
That mapping is for path field, not content.
✗
The batchSize is too large, causing some items to fail silently.
Why it's wrong here
Failed items would be tracked.

Common exam traps

Common exam trap: NAT rules depend on direction and matching traffic

NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.

Detailed technical explanation

How to think about this question

NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.

KKey Concepts to Remember

Static NAT maps one inside address to one outside address.
PAT allows many inside hosts to share one public address using ports.
Inside local and inside global describe the private and translated addresses.
NAT ACLs identify traffic for translation, not always security filtering.

TExam Day Tips

Identify inside and outside interfaces first.
Check whether the scenario needs static NAT, dynamic NAT or PAT.
Do not confuse NAT matching ACLs with normal packet-filtering intent.

Key takeaway

NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.

Real-world example

How this comes up in practice

A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.

What to study next

Got this wrong? Here's your next step.

Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related AI-102 NAT questions on configuration and troubleshooting.

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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 — Static NAT maps one inside address to one outside address..

What is the correct answer to this question?

The correct answer is: The outputFieldMapping references '/document/content' which is not produced by the skillset. — The outputFieldMapping maps '/document/content' to 'content'. However, the skillset (not shown) might not produce this output, or the skill output path is different. But the exhibit shows that the indexer expects '/document/content' to be available from the skillset. If the skillset does not output '/document/content', the field remains empty. Option C is correct: the outputFieldMapping references a path that does not exist in the enrichment tree. Option A is incorrect because the field mapping for 'path' is fine. Option B is incorrect because the indexer runs successfully. Option D is incorrect because batch size does not affect field mapping.

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

What is the key concept behind this question?

Static NAT maps one inside address to one outside address.

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Last reviewed: Jun 20, 2026

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