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

AI-102 Practice Question: Implement knowledge mining and information extraction solutions

Exhibit

Refer to the exhibit.
{
  "$schema": "https://schema.management.azure.com/schemas/2019-04-01/deploymentTemplate.json#",
  "contentVersion": "1.0.0.0",
  "resources": [
    {
      "type": "Microsoft.Search/searchServices/indexers",
      "apiVersion": "2023-11-01",
      "name": "demo-indexer",
      "dependsOn": [
        "[resourceId('Microsoft.Search/searchServices', 'demo-search')]"
      ],
      "properties": {
        "dataSourceName": "demo-datasource",
        "targetIndexName": "demo-index",
        "skillsetName": "demo-skillset",
        "schedule": {
          "interval": "PT1H",
          "startTime": "2024-01-01T00:00:00Z"
        },
        "parameters": {
          "maxFailedItems": 10,
          "maxFailedItemsPerBatch": 5
        },
        "fieldMappings": [
          {
            "sourceFieldName": "metadata_storage_path",
            "targetFieldName": "path"
          }
        ]
      }
    }
  ]
}

You deploy the ARM template shown in the exhibit to create an Azure AI Search indexer. The indexer fails to run, and you see an error that the skillset 'demo-skillset' does not exist. What is the most likely cause?

⚠ Common exam trap

A common mix-up: candidates assume ARM templates deploy resources in the order they appear in the template, but Azure deploys them in parallel by default, so missing 'dependsOn' causes dependency errors like the one shown.

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 skillset resource was not deployed before the indexer

The ARM template deploys resources in parallel by default, so the indexer can be created before the skillset. Since the indexer references 'demo-skillset' in its configuration, the deployment fails because the skillset resource does not exist at the time the indexer is created. To fix this, you must add a 'dependsOn' property in the indexer resource definition to ensure the skillset is deployed first.

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 field mapping source field 'metadata_storage_path' is incorrect
Why it's wrong here
Field mapping errors would not cause a missing skillset error.
✗
The schedule start time is in the past, causing the indexer to be disabled
Why it's wrong here
A past start time does not cause an error; it starts immediately.
✗
The data source 'demo-datasource' does not exist
Why it's wrong here
The error specifically mentions the skillset, not the data source.
✓
The skillset resource was not deployed before the indexer
Why this is correct
The indexer depends on the skillset, which must exist. The template does not include the skillset resource.

Go deeper

AI-102 Practice Question: Implement knowledge mining and information extraction solutions

Exhibit

Why each option matters

Option-by-option breakdown

Related to this question