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PL-600 · Question #258

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might…

The correct answer is B. No. This solution does NOT meet the goal. Retry logic is a fault-tolerance mechanism - it re-attempts failed operations to improve reliability during the migration process. However, it does nothing to improve data quality. If the source data contains duplicates, invalid values…

Submitted by tyler.j· Apr 18, 2026Architect a solution

Question

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen. You are evaluating company data. The data must be migrated to Microsoft Dataverse. You need to recommend the process to ensure clean data for the migration. Solution: Configure retry logic in the migration. Does the solution meet the goal?

Options

  • AYes
  • BNo

How the community answered

(29 responses)
  • A
    31% (9)
  • B
    69% (20)

Explanation

This solution does NOT meet the goal. Retry logic is a fault-tolerance mechanism - it re-attempts failed operations to improve reliability during the migration process. However, it does nothing to improve data quality. If the source data contains duplicates, invalid values, incorrect formats, or missing fields, retrying the migration will simply migrate the same dirty data more reliably. Ensuring clean data requires steps such as data profiling, deduplication, validation rules, data standardization, and test migrations - not retry logic.

Topics

#Data migration#Dataverse#Data quality#Retry logic

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