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Databricks Certified Data Engineer Professional Sample Questions:

1. The data governance team is reviewing code used for deleting records for compliance with GDPR. They note the following logic is used to delete records from the Delta Lake table named users.

Assuming that user_id is a unique identifying key and that delete_requests contains all users that have requested deletion, which statement describes whether successfully executing the above logic guarantees that the records to be deleted are no longer accessible and why?

A) No; the Delta cache may return records from previous versions of the table until the cluster is restarted.
B) Yes; Delta Lake ACID guarantees provide assurance that the delete command succeeded fully and permanently purged these records.
C) Yes; the Delta cache immediately updates to reflect the latest data files recorded to disk.
D) No; files containing deleted records may still be accessible with time travel until a vacuum command is used to remove invalidated data files.
E) No; the Delta Lake delete command only provides ACID guarantees when combined with the merge into command.

2. A junior developer complains that the code in their notebook isn't producing the correct results in the development environment. A shared screenshot reveals that while they're using a notebook versioned with Databricks Repos, they're using a personal branch that contains old logic. The desired branch named dev-2.3.9 is not available from the branch selection dropdown.
Which approach will allow this developer to review the current logic for this notebook?

A) Use Repos to checkout the dev-2.3.9 branch and auto-resolve conflicts with the current branch
B) Merge all changes back to the main branch in the remote Git repository and clone the repo again
C) Use Repos to pull changes from the remote Git repository and select the dev-2.3.9 branch.
D) Use Repos to merge the current branch and the dev-2.3.9 branch, then make a pull request to sync with the remote repository
E) Use Repos to make a pull request use the Databricks REST API to update the current branch to dev-2.3.9

3. A production cluster has 3 executor nodes and uses the same virtual machine type for the driver and executor.
When evaluating the Ganglia Metrics for this cluster, which indicator would signal a bottleneck caused by code executing on the driver?

A) Overall cluster CPU utilization is around 25%
B) Network I/O never spikes
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C) Bytes Received never exceeds 80 million bytes per second
D) The five Minute Load Average remains consistent/flat
E) Total Disk Space remains constant

4. A Delta Lake table was created with the below query:
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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?

A) A new Delta transaction log Is created for the renamed table.
B) The table reference in the metastore is updated and no data is changed.
C) The table reference in the metastore is updated and all data files are moved.
D) The table name change is recorded in the Delta transaction log.
E) All related files and metadata are dropped and recreated in a single ACID transaction.

5. A data team's Structured Streaming job is configured to calculate running aggregates for item sales to update a downstream marketing dashboard. The marketing team has introduced a new field to track the number of times this promotion code is used for each item. A junior data engineer suggests updating the existing query as follows: Note that proposed changes are in bold.
Original query:
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Proposed query:

Proposed query:
.start("/item_agg")
Which step must also be completed to put the proposed query into production?

A) Register the data in the "/item_agg" directory to the Hive metastore
B) Run REFRESH TABLE delta, /item_agg'
C) Remove .option (mergeSchema', true') from the streaming write
D) Increase the shuffle partitions to account for additional aggregates
E) Specify a new checkpointlocation

Solutions: