Exit DP-750 Implementing Data Engineering Solutions Using Azure Databricks
Question 5 of 5
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Q5 Single choice

You have an Azure Databricks workspace that uses Unity Catalog.

You have a Lakeflow Spark Declarative Pipelines (SDP) pipeline that ingests data into a managed Delta table named Table1. Table1 is used for analytics.

New columns are added to the source data, causing pipeline failures during writes to Table1.

You need to prevent the pipeline failures. The solution must ensure that schema changes are detected and handled.

What should you do?

  • A

    Disable schema enforcement for Table1.

  • B

    Use row filters to exclude records that have new columns.

  • C

    Enable schema evolution.

  • D

    Create a separate table for each schema version.

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