Exam Databricks-Certified-Data-Engineer-Associate Topic 3 Question 163 Discussion

Actual exam question for Databricks's Databricks-Certified-Data-Engineer-Associate exam
Question #: 163
Topic #: 3
A data engineer is developing an ETL process based on Spark SQL. The execution fails. The data engineer checks the Spark UI and can see the ERRORS as follows:
"java.lang.OutofMemoryError: Java heap space"
Which two corrective actions should the data engineer perform to resolve this issue? (Choose two.)

Suggested Answer: A,B Vote an answer

Reducing input with narrower filters lowers memory pressure, and increasing executor resources (upsize worker nodes) plus enabling adaptive/auto shuffle partitioning provides more memory and better partitioning to avoid Java heap OOM during Spark SQL execution.

by Jacqueline at Jul 11, 2026, 06:54 AM

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