Identifying Failed Rows in Dataverse Imports

PL-600 By islever Editorial Last updated

Short answer

B Use the Import Data Wizard to view the import log file detailing which rows failed and why.

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?
  1. Azure Event Hub
  2. Import Data Wizard Correct Answer
  3. Microsoft Power Platform dataflows
  4. Azure Service Bus

Key Takeaways

Tests knowledge of import limitations versus diagnostic capabilities. The trap is assuming volume dictates the tool choice, ignoring that the wizard's log is the primary method for viewing specific failures.

Determines the correct tool for identifying failed rows in large-scale Microsoft Dataverse imports. Establishes that while dataflows handle volume, the Import Data Wizard provides the necessary failure logs.

Common mistake: Candidates often choose 'Microsoft Power Platform dataflows' (C) because they believe it can handle the 2.5 million row volume better than the Import Wizard, overlooking that the question asks how to *identify* which rows failed.

Expert Analysis

Why the Answer Is Correct

The correct answer is B, the Import Data Wizard. When an import job runs in Microsoft Dataverse, the system generates a detailed log file that lists every record that failed to import along with the specific error reason. This functionality is inherent to the import process managed by the wizard, regardless of whether the import was triggered via the UI or programmatically. The wizard is the standard interface for reviewing these import results and correcting errors.

Why the Other Options Are Wrong

Azure Event Hub (A) and Azure Service Bus (D) are messaging services used for asynchronous communication between applications; they do not provide native tools for analyzing Dataverse import failures. Microsoft Power Platform dataflows (C) are ETL tools designed for transforming and loading data. While they can ingest large volumes of data, they do not generate the same granular, user-friendly failure logs as the Import Data Wizard. Using a dataflow would complicate the debugging process rather than simplify it.

Community Comment Notes

The community is split, but the suggested answer C is incorrect for this specific scenario. Many users like 'uberlord' argue for C based on row limits, but the Import Data Wizard supports up to 1 million rows per job (or more depending on configuration), and even if batched, the wizard remains the diagnostic tool. Commenters like 'loftuscheek' correctly identify that the wizard provides the summary and log file needed to see failures. The vote majority favors C due to a misconception about volume handling, but the PL-600 exam prioritizes the correct tool for identification, which is the wizard.

Official Reference

https://learn.microsoft.com/en-us/power-platform/admin/import-data-all-record-types

This link opens the official vendor documentation in a new tab.

Exam Strategy

Focus on the verb in the question: 'identify'. If you need to see errors, look for the tool that generates logs. Don't let high-volume numbers distract you from the core administrative task of troubleshooting an import.

Frequently Asked Questions

Can the Import Data Wizard handle 2.5 million rows?

Yes, but it may require batching. Regardless of size, the wizard is the tool that provides the failure log.

Why not use Dataflows to find errors?

Dataflows are for ETL processing. They do not offer the same immediate, detailed error reporting interface as the Import Data Wizard for troubleshooting failed records.

More PL-600 FAQ →

Community Votes

C
73%
B
27%

73% of anonymous learners picked answer C. Votes are pick records left by other test-takers — they are not the verified answer.

Discussion 7 contributions

Compiled from public community threads and reader submissions, lightly edited for clarity. Handles and vote tallies are shown as recorded, and comments reflect the views of individual contributors.

From public community threads 7

  1. uberlord 👍 4 Answered C
    The Import Data Wizard in Microsoft Dataverse has a limit of 1 million rows per import job. Since you're looking to import 2.5 million rows in a single job, this would exceed that limit. In this case, you may need to break the data into smaller batches or consider using C. Microsoft Power Platform dataflows. Dataflows can handle larger datasets and allow for more efficient imports while providing better error handling and monitoring capabilities.
  2. MercuryOne 👍 2 Answered C
    I would choose C even if Import Data Wizard is a better toll to view logs, error. The recommended no of rows for Import Data Wizard is20K rows or fewer but it can also import 2.5 million https://learn.microsoft.com/en-us/power-platform/admin/import-data-all-record-types
  3. iraelena 👍 2 Answered C
    Who would import 2.5 million records via Import wizard?! I go with C
  4. loftuscheek 👍 1 Answered B
    Answer is B , "single import job" no need for dataflow After running an import job using the Import Data Wizard in Microsoft Power Platform, the tool provides a summary of the import process. This summary typically includes: The total number of records attempted. The number of records successfully imported. A log file or list detailing the records that failed to import, along with the reason for the failure.
  5. 967d27a 👍 4
    Answer is C.
Show 2 more comments
  1. 37823ce 👍 2 Answered B
    Chat GPT confirms B
  2. Schinna 👍 1
    Answer is B

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