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AI-102 · Question #224

You have an Azure subscription that contains an AI enrichment pipeline in Azure AI Search and an Azure Storage account that has 10 GB of scanned documents and images. You need to index the documents…

The correct answer is A. From the Azure portal, configure parallel indexing. https://learn.microsoft.com/en-us/azure/search/search-howto-large-index#run-indexers-in-parallel If you partition your data, you can create multiple indexer-data-source combinations that pull from each data source and write to the same search index. Because each indexer is…

Submitted by lucia.co· Mar 30, 2026Implement knowledge mining solutions

Question

You have an Azure subscription that contains an AI enrichment pipeline in Azure AI Search and an Azure Storage account that has 10 GB of scanned documents and images. You need to index the documents and images in the storage account. The solution must minimize how long it takes to build the index. What should you do?

Options

  • AFrom the Azure portal, configure parallel indexing.
  • BFrom the Azure portal, configure scheduled indexing.
  • CConfigure field mappings by using the REST API.
  • DCreate a text-based indexer by using the REST API.

How the community answered

(46 responses)
  • A
    72% (33)
  • B
    17% (8)
  • C
    9% (4)
  • D
    2% (1)

Explanation

https://learn.microsoft.com/en-us/azure/search/search-howto-large-index#run-indexers-in-parallel If you partition your data, you can create multiple indexer-data-source combinations that pull from each data source and write to the same search index. Because each indexer is distinct, you can run them at the same time, populating a search index more quickly than if you ran them

Topics

#Azure AI Search#Indexers#Parallel indexing#Indexing performance

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