Databricks Certified Associate Developer for Apache Spark 3.5-Python Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Question # 17 Topic 2 Discussion

Databricks Certified Associate Developer for Apache Spark 3.5-Python Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Question # 17 Topic 2 Discussion

Databricks-Certified-Associate-Developer-for-Apache-Spark-3.5 Exam Topic 2 Question 17 Discussion:
Question #: 17
Topic #: 2

An engineer notices a significant increase in the job execution time during the execution of a Spark job. After some investigation, the engineer decides to check the logs produced by the Executors.

How should the engineer retrieve the Executor logs to diagnose performance issues in the Spark application?


A.

Locate the executor logs on the Spark master node, typically under the/tmpdirectory.


B.

Use the commandspark-submitwith the—verboseflag to print the logs to the console.


C.

Use the Spark UI to select the stage and view the executor logs directly from the stages tab.


D.

Fetch the logs by running a Spark job with thespark-sqlCLI tool.


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