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Maintain a Data Analytics SolutionmediumMultiple SelectObjective-mapped

DP-600 Maintain a Data Analytics Solution Practice Question

You plan to rename a column in a gold-layer table within a Fabric Lakehouse. Which THREE actions should you perform to assess and mitigate the impact on the existing analytics solution? (Select THREE)

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Open the Lineage view to identify downstream semantic models and reports that use the table.

Impact analysis and lineage views are critical for maintaining data integrity when underlying schemas change. Before modifying a column name in a Lakehouse table, an engineer should use these tools to identify downstream dependencies. This proactive approach prevents broken reports, failed data pipelines, and ensures that all stakeholders are notified of upcoming breaking changes in the data architecture.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Open the Lineage view to identify downstream semantic models and reports that use the table.

    Why this is correct

    The Lineage view provides a visual representation of how data flows from the source to the final report. By checking this view, an engineer can see exactly which semantic models will be broken by a column rename. This is the first step in understanding the scope of the change within the Fabric workspace.

  • Use the Impact Analysis side pane for the table to see the number of affected items and workspaces.

    Why this is correct

    Impact Analysis goes beyond a single workspace to show how many people and items are dependent on a specific data asset. It provides a high-level summary of the potential disruption, which is essential for project management and scheduling maintenance windows. This tool helps quantify the risk associated with the schema modification.

  • Notify the contact persons listed for the downstream items about the scheduled change.

    Why this is correct

    Communication is a vital part of maintaining a production data environment. Fabric allows you to easily identify and contact the owners of downstream reports. Notifying them ensures they can update their reports or dashboards immediately after the change, minimizing the time that business users see broken visuals or incorrect data.

  • Delete the Lakehouse and recreate it with the new schema to ensure all metadata is refreshed.

    Why it's wrong here

    Deleting and recreating a Lakehouse is an extreme measure that would cause significant downtime and likely break all existing connections and permissions. It is not a standard maintenance procedure for a simple column rename. Schema evolution should be handled using ALTER TABLE commands or Spark transformations to preserve the object's identity.

  • Change the workspace name to include 'DEPRECATED' until the column rename is completed.

    Why it's wrong here

    Renaming a workspace does not provide any technical benefit or impact analysis for a schema change. It may confuse users and does not address the underlying dependencies in the data models or reports. Maintenance should be handled through proper version control and the built-in impact analysis tools provided by Microsoft Fabric.

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Last reviewed September 2026 · checked against the official Microsoft exam blueprint

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