Databricks Data Engineer Professional exam dumps

Databricks Data Engineer Professional practice question 234 of 313

Databricks Certified Data Engineer Professional. Professional level, Databricks. Free question with the correct answer and a full explanation.

Databricks Data Engineer Professional Question 234

Select 3

A data engineer is troubleshooting a slow-running job on a Databricks cluster. They decide to inspect the Spark UI to analyze the job's performance. Which of the following actions can they take to gain insights into the job's execution timeline and metrics?

  1. A

    Examine the DAG visualization to identify dependencies between stages.

  2. B

    Inspect the 'Tasks' section in the Spark UI to analyze task execution and skew.

  3. C

    Review the 'Environment' tab to check the configuration of the cluster and job.

  4. D

    Use the 'SQL' tab to analyze execution plans for SQL queries.

  5. E

    Inspect the 'Executors' tab to review memory and CPU utilization for each executor.

Show answer and explanation

Correct answers: A, B, E

Explanation

To inspect event timelines and metrics for stages and jobs, the Spark UI provides several useful tools. The DAG visualization helps you understand dependencies and execution order, while the 'Tasks' section provides granular details on task execution and skew. Additionally, the 'Executors' tab enables you to monitor resource utilization to identify potential bottlenecks. While the 'Environment' tab and 'SQL' tab provide valuable information, they do not directly aid in analyzing stage timelines or metrics for non-SQL jobs.

  • A. Correct.

    Examine the DAG visualization to identify dependencies between stages: The DAG visualization provides a high-level view of job execution, showing stage dependencies and execution timelines, which is helpful for understanding the flow of the job.

  • B. Correct.

    Inspect the 'Tasks' section in the Spark UI to analyze task execution and skew: The 'Tasks' section provides detailed metrics for task execution, including runtime and skew, which can be critical for diagnosing performance bottlenecks.

  • C. Incorrect.

    Review the 'Environment' tab to check the configuration of the cluster and job: While the 'Environment' tab provides useful information about configurations, it does not directly help in analyzing timelines or metrics for stages and jobs.

  • D. Incorrect.

    Use the 'SQL' tab to analyze execution plans for SQL queries: The 'SQL' tab is useful for analyzing query plans but does not provide specific insights into stage timelines or metrics for non-SQL jobs.

  • E. Correct.

    Inspect the 'Executors' tab to review memory and CPU utilization for each executor: The 'Executors' tab provides insights into resource utilization, which can help identify performance bottlenecks related to executors.

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