Exam DP-750 Topic 1 Question 88 Discussion
Actual exam question for Microsoft's DP-750 exam
Question #: 88
Topic #: 1
Question #: 88
Topic #: 1
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?
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?
Suggested Answer: B Vote an answer
Schema evolution allows the target Delta table to incorporate compatible new source columns instead of failing when the incoming schema changes. This is the appropriate response to additive schema drift and avoids manually rebuilding tables whenever the source evolves. Creating a separate table for every schema version would fragment the dataset and increase operational effort. Disabling schema enforcement removes valuable protection against incompatible or corrupt data rather than handling legitimate evolution safely. Row filters operate on records and cannot remove an unexpected column from the incoming schema. With schema evolution enabled, the pipeline can detect new fields, update the target schema, and continue processing while retaining Delta Lake's transactional guarantees. The solution therefore supports changing source data without sacrificing the managed-table architecture.
by Morton at Aug 08, 2026, 12:00 AM
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