Free Access Databricks.Databricks-Certified-Professional-Data-Engineer.v2025-10-30.q132 Practice Test (Page 5)

Question 16

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?

A.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.

B.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.

C.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.

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

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

Question 17

A data engineering team has created a series of tables using Parquet data stored in an external sys-tem. The
team is noticing that after appending new rows to the data in the external system, their queries within
Databricks are not returning the new rows. They identify the caching of the previous data as the cause of this
issue.
Which of the following approaches will ensure that the data returned by queries is always up-to-date?

A.The tables should be stored in a cloud-based external system

B.The tables should be refreshed in the writing cluster before the next query is run

C.The tables should be converted to the Delta format

D.The tables should be updated before the next query is run

E.The tables should be altered to include metadata to not cache

Question 18

A junior data engineer seeks to leverage Delta Lake's Change Data Feed functionality to create a Type 1 table representing all of the values that have ever been valid for all rows in a bronze table created with the property delta.enableChangeDataFeed = true. They plan to execute the following code as a daily job:
Which statement describes the execution and results of running the above query multiple times?

A.Each time the job is executed, newly updated records will be merged into the target table, overwriting previous values with the same primary keys.

B.Each time the job is executed, the entire available history of inserted or updated records will be appended to the target table, resulting in many duplicate entries.

C.Each time the job is executed, the target table will be overwritten using the entire history of inserted or updated records, giving the desired result.

D.Each time the job is executed, the differences between the original and current versions are calculated; this may result in duplicate entries for some records.

E.Each time the job is executed, only those records that have been inserted or updated since the last execution will be appended to the target table giving the desired result.

Question 19

You are currently working with the second team and both teams are looking to modify the same notebook, you noticed that the second member is copying the notebooks to the personal folder to edit and replace the collaboration notebook, which notebook feature do you recommend to make the process easier to collaborate.

A.Databricks notebooks should be copied to a local machine and setup source control lo-cally to version the notebooks

B.Databricks notebooks support automatic change tracking and versioning

C.Databricks Notebooks support real-time coauthoring on a single notebook

D.Databricks notebooks can be exported into dbc archive files and stored in data lake

E.Databricks notebook can be exported as HTML and imported at a later time

Question 20

You are trying to create an object by joining two tables that and it is accessible to data scientist's team, so it does not get dropped if the cluster restarts or if the notebook is detached. What type of object are you trying to create?

A.Temporary view

B.Global Temporary view

C.Global Temporary view with cache option

D.External view

E.View

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