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NEW QUESTION 39
Two junior data engineers are authoring separate parts of a single data pipeline notebook. They are working on
separate Git branches so they can pair program on the same notebook simultaneously. A senior data engineer
experienced in Databricks suggests there is a better alternative for this type of collaboration.
Which of the following supports the senior data engineer's claim?

A. Databricks Notebooks support real-time co-authoring on a single notebookB. Databricks Notebooks support the creation of interactive data visualizationsC. Databricks Notebooks support automatic change-tracking and versioningD. Databricks Notebooks support the use of multiple languages in the same notebookE. Databricks Notebooks support commenting and notification comments

Answer: A

 

NEW QUESTION 40
Which of the following describes how Databricks Repos can help facilitate CI/CD workflows on the
Databricks Lakehouse Platform?

A. Databricks Repos can commit or push code changes to trigger a CI/CD processB. Databricks Repos can facilitate the pull request, review, and approval process before merging branchesC. Databricks Repos can store the single-source-of-truth Git repositoryD. Databricks Repos can be used to design, develop, and trigger Git automation pipelinesE. Databricks Repos can merge changes from a secondary Git branch into a main Git branch

Answer: A

 

NEW QUESTION 41
A data engineer has a Job with multiple tasks that runs nightly. One of the tasks unexpectedly fails during 10
percent of the runs.
Which of the following actions can the data engineer perform to ensure the Job completes each night while
minimizing compute costs?

A. They can utilize a Jobs cluster for each of the tasks in the JobB. They can observe the task as it runs to try and determine why it is failingC. They can institute a retry policy for the entire JobD. They can institute a retry policy for the task that periodically failsE. They can set up the Job to run multiple times ensuring that at least one will complete

Answer: D

 

NEW QUESTION 42
An engineering manager uses a Databricks SQL query to monitor their team's progress on fixes related to
customer-reported bugs. The manager checks the results of the query every day, but they are manually
rerunning the query each day and waiting for the results.
Which of the following approaches can the manager use to ensure the results of the query are up-dated each
day?

A. They can schedule the query to refresh every 12 hours from the SQL endpoint's page in Databricks SQLB. They can schedule the query to run every 1 day from the Jobs UIC. They can schedule the query to refresh every 1 day from the query's page in Databricks SQLD. They can schedule the query to run every 12 hours from the Jobs UIE. They can schedule the query to refresh every 1 day from the SQL endpoint's page in Databricks SQL

Answer: C

 

NEW QUESTION 43
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