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NEW QUESTION 51
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
- A. They can schedule the query to run every 12 hours from the Jobs UI
- B. They can schedule the query to refresh every 1 day from the SQL endpoint’s page in Databricks SQL
- C. They can schedule the query to run every 1 day from the Jobs UI
- D. They can schedule the query to refresh every 12 hours from the SQL endpoint’s page in Databricks SQL
- E. They can schedule the query to refresh every 1 day from the query’s page in Databricks SQL
NEW QUESTION 52
A data engineer has created a Delta table as part of a data pipeline. Downstream data analysts now need
SELECT permission on the Delta table.
Assuming the data engineer is the Delta table owner, which part of the Databricks Lakehouse Plat-form can
the data engineer use to grant the data analysts the appropriate access?
- A. Jobs
- B. Data Explorer
- C. Repos
- D. Databricks Filesystem
NEW QUESTION 53
A data engineer is overwriting data in a table by deleting the table and recreating the table. Another data
engineer suggests that this is inefficient and the table should simply be overwritten instead.
Which of the following reasons to overwrite the table instead of deleting and recreating the table is incorrect?
- A. Overwriting a table is an atomic operation and will not leave the table in an unfinished state
- B. Overwriting a table maintains the old version of the table for Time Travel
- C. Overwriting a table results in a clean table history for logging and audit purposes
- D. Overwriting a table allows for concurrent queries to be completed while in progress
- E. Overwriting a table is efficient because no files need to be deleted
NEW QUESTION 54
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