Free Access GAQM.Databricks-Certified-Data-Engineer-Associate.v2024-11-27.q107 Practice Test (Page 6)

Question 21

A data engineer needs to determine whether to use the built-in Databricks Notebooks versioning or version their project using Databricks Repos.
Which of the following is an advantage of using Databricks Repos over the Databricks Notebooks versioning?

A.Databricks Repos automatically saves development progress

B.Databricks Repos provides the ability to comment on specific changes

C.Databricks Repos is wholly housed within the Databricks Lakehouse Platform

D.Databricks Repos supports the use of multiple branches

E.Databricks Repos allows users to revert to previous versions of a notebook

Question 22

Which of the following approaches should be used to send the Databricks Job owner an email in the case that the Job fails?

A.Manually programming in an alert system in each cell of the Notebook

B.Setting up an Alert in the Job page

C.Setting up an Alert in the Notebook

D.There is no way to notify the Job owner in the case of Job failure

E.MLflow Model Registry Webhooks

Question 23

A data engineer is using the following code block as part of a batch ingestion pipeline to read from a composable table:

Which of the following changes needs to be made so this code block will work when the transactions table is a stream source?

A.Replace predict with a stream-friendly prediction function

B.Replace schema(schema) with option ("maxFilesPerTrigger", 1)

C.Replace "transactions" with the path to the location of the Delta table

D.Replace format("delta") with format("stream")

E.Replace spark.read with spark.readStream

Question 24

A Delta Live Table pipeline includes two datasets defined using STREAMING LIVE TABLE. Three datasets are defined against Delta Lake table sources using LIVE TABLE.
The table is configured to run in Production mode using the Continuous Pipeline Mode.
Assuming previously unprocessed data exists and all definitions are valid, what is the expected outcome after clicking Start to update the pipeline?

A.All datasets will be updated at set intervals until the pipeline is shut down. The compute resources will persist to allow for additional testing.

B.All datasets will be updated once and the pipeline will persist without any processing. The compute resources will persist but go unused.

C.All datasets will be updated at set intervals until the pipeline is shut down. The compute resources will be deployed for the update and terminated when the pipeline is stopped.

D.All datasets will be updated once and the pipeline will shut down. The compute resources will be terminated.

E.All datasets will be updated once and the pipeline will shut down. The compute resources will persist to allow for additional testing.

Question 25

A data engineer is designing a data pipeline. The source system generates files in a shared directory that is also used by other processes. As a result, the files should be kept as is and will accumulate in the directory. The data engineer needs to identify which files are new since the previous run in the pipeline, and set up the pipeline to only ingest those new files with each run.
Which of the following tools can the data engineer use to solve this problem?

A.Unity Catalog

B.Data Explorer

C.Auto Loader

D.Delta Lake

E.Databricks SQL

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