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 Databricks-Certified-Professional-Data-Engineer Dumps with Practice Exam Questions Answers

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Last Update: Sep 27, 2023

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Databricks-Certified-Professional-Data-Engineer Questions and Answers

Question # 1

Which REST API call can be used to review the notebooks configured to run as tasks in a multi-task job?











Question # 2

A data engineer, User A, has promoted a new pipeline to production by using the REST API to programmatically create several jobs. A DevOps engineer, User B, has configured an external orchestration tool to trigger job runs through the REST API. Both users authorized the REST API calls using their personal access tokens.

Which statement describes the contents of the workspace audit logs concerning these events?


Because the REST API was used for job creation and triggering runs, a Service Principal will be automatically used to identity these events.


Because User B last configured the jobs, their identity will be associated with both the job creation events and the job run events.


Because these events are managed separately, User A will have their identity associated with the job creation events and User B will have their identity associated with the job run events.


Because the REST API was used for job creation and triggering runs, user identity will not be captured in the audit logs.


Because User A created the jobs, their identity will be associated with both the job creation events and the job run events.

Question # 3

The data engineering team has configured a Databricks SQL query and alert to monitor the values in a Delta Lake table. Therecent_sensor_recordingstable contains an identifyingsensor_idalongside thetimestampandtemperaturefor the most recent 5 minutes of recordings.

The below query is used to create the alert:

The query is set to refresh each minute and always completes in less than 10 seconds. The alert is set to trigger whenmean (temperature) > 120. Notifications are triggered to be sent at most every 1 minute.

If this alert raises notifications for 3 consecutive minutes and then stops, which statement must be true?


The total average temperature across all sensors exceeded 120 on three consecutive executions of the query


Therecent_sensor_recordingstable was unresponsive for three consecutive runs of the query


The source query failed to update properly for three consecutive minutes and then restarted


The maximum temperature recording for at least one sensor exceeded 120 on three consecutive executions of the query


The average temperature recordings for at least one sensor exceeded 120 on three consecutive executions of the query

Question # 4

A Delta Lake table was created with the below query:

Realizing that the original query had a typographical error, the below code was executed:

ALTER TABLE prod.sales_by_stor RENAME TO prod.sales_by_store

Which result will occur after running the second command?


The table reference in the metastore is updated and no data is changed.


The table name change is recorded in the Delta transaction log.


All related files and metadata are dropped and recreated in a single ACID transaction.


The table reference in the metastore is updated and all data files are moved.


A new Delta transaction log Is created for the renamed table.

Question # 5

A Databricks job has been configured with 3 tasks, each of which is a Databricks notebook. Task A does not depend on other tasks. Tasks B and C run in parallel, with each having a serial dependency on task A.

If tasks A and B complete successfully but task C fails during a scheduled run, which statement describes the resulting state?


All logic expressed in the notebook associated with tasks A and B will have been successfully completed; some operations in task C may have completed successfully.


All logic expressed in the notebook associated with tasks A and B will have been successfully completed; any changes made in task C will be rolled back due to task failure.


All logic expressed in the notebook associated with task A will have been successfully completed; tasks B and C will not commit any changes because of stage failure.


Because all tasks are managed as a dependency graph, no changes will be committed to the Lakehouse until ail tasks have successfully been completed.


Unless all tasks complete successfully, no changes will be committed to the Lakehouse; because task C failed, all commits will be rolled back automatically.