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PL-600 · Question #207

A company plans to import 2.5 million data rows into Microsoft Dataverse during a go-live process. The import job will run as a single import job. You run a test on the import and observe that some…

The correct answer is C. Microsoft Power Platform dataflows. To identify failed rows during a large data import into Dataverse, Microsoft Power Platform dataflows provide detailed error logging and transformation capabilities.

Submitted by jordan8· Apr 18, 2026Architect a solution

Question

A company plans to import 2.5 million data rows into Microsoft Dataverse during a go-live process. The import job will run as a single import job. You run a test on the import and observe that some of the rows did not import. You need to identify which rows did not import. Which tool should you use?

Options

  • AAzure Event Hub
  • BImport Data Wizard
  • CMicrosoft Power Platform dataflows
  • DAzure Service Bus

How the community answered

(42 responses)
  • A
    2% (1)
  • B
    10% (4)
  • C
    74% (31)
  • D
    14% (6)

Why each option

To identify failed rows during a large data import into Dataverse, Microsoft Power Platform dataflows provide detailed error logging and transformation capabilities.

AAzure Event Hub

Azure Event Hub is a real-time data ingestion service and is not directly used for identifying failed rows in a batch Dataverse import.

BImport Data Wizard

The Import Data Wizard is suitable for smaller, manual imports but lacks the advanced error reporting and scalability needed for identifying specific failed rows in a 2.5 million row import.

CMicrosoft Power Platform dataflowsCorrect

Microsoft Power Platform dataflows are designed for large-scale data ingestion and transformation into Dataverse, offering robust error handling and detailed reporting that can identify specific rows that failed to import and the reasons for their failure. This is more suitable for large, complex imports than the basic Import Data Wizard.

DAzure Service Bus

Azure Service Bus is a messaging service for reliable message delivery and is not used for monitoring or identifying failed rows in a Dataverse data import process.

Concept tested: Dataverse data import error identification

Source: https://learn.microsoft.com/en-us/power-apps/maker/data-platform/create-edit-dataflow

Topics

#Data import#Dataverse#Power Platform dataflows#Error handling

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