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PL-600 · Question #261

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 A. Yes. Yes, eliminating duplicate records meets the goal of ensuring clean data for migration to Microsoft Dataverse. Data quality preparation is a critical prerequisite before migration. Duplicate records cause data integrity problems, skewed reporting, and relationship conflicts in…

Submitted by rohit_dlh· 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: Eliminate duplicate records. Does the solution meet the goal?

Options

  • AYes
  • BNo

How the community answered

(56 responses)
  • A
    95% (53)
  • B
    5% (3)

Explanation

Yes, eliminating duplicate records meets the goal of ensuring clean data for migration to Microsoft Dataverse. Data quality preparation is a critical prerequisite before migration. Duplicate records cause data integrity problems, skewed reporting, and relationship conflicts in Dataverse. Removing duplicates is a standard and necessary data cleansing step - alongside fixing incomplete records, normalizing formats, and validating referential integrity - to ensure a successful, clean migration.

Topics

#Data migration#Data cleaning#Data quality#Duplicate detection

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