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Databricks Databricks-Certified-Data-Engineer-Professional Exam Syllabus Topics:

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 Lake delete command only provides ACID guarantees when combined with the merge into command.
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; the Delta cache may return records from previous versions of the table until the cluster is restarted.
E) No; files containing deleted records may still be accessible with time travel until a vacuum command is used to remove invalidated data files.

2. An analytics team wants to run a short-term experiment in Databricks SQL on the customer transactions Delta table (about 20 billion records) created by the data engineering team. Which strategy should the data engineering team use to ensure minimal downtime and no impact on the ongoing ETL processes?

A) Shallow clone the table for the analytics team.
B) Create a new table for the analytics team using a CTAS statement.
C) Deep clone the table for the analytics team.
D) Give the analytics team direct access to the production table.

3. A data engineering team needs to create a SQL Alert that monitors data quality across multiple columns in their customer table. They want to trigger an alert when both the percentage of customers with missing email addresses exceeds 15% AND the percentage of customers with invalid phone number formats exceeds 10%. Which SQL query pattern is appropriate for implementing this multi-column alert condition?

A) SELECT email_null_pct, phone_invalid_pct FROM (SELECT (COUNT(CASE WHEN email IS NULL THEN 1 END) *
100.0/COUNT (*)) as email_null_pct, (COUNT(CASE WHEN phone NOT RLIKE ''[0-9-+()\\s]+$' THEN 1 END)*
100.0/COUNT (*)) as phone_invalid_pct FROM customers)
B) SELECT CASE WHEN email_null_pct >15 AND phone_invalid_pct> 10 THEN 1 ELSE 0 END FROM (SELECT (COUNT (CASE WHEN email IS NULL THEN 1 END) * 100.0 / COUNT (*)) as phone_invalid_pct FROM customers) metrics
C) SELECT COUNT (*) FROM customers WHERE email IS NULL OR phone_format_invalid = true
D) SELECT email, phone FROM customers WHERE email IS NULL AND phone NOT RLIKE ''[0-9-
+()\\s]+$'

4. A data engineer has configured their Databricks Asset Bundle with multiple targets in databricks.yml and deployed it to the production workspace. Now, to validate the deployment, they need to invoke a job named my_project_job specifically within the prod target context.
Assuming the job is already deployed, they need to trigger its execution while ensuring the target- specific configuration is respected. Which command will trigger the job execution?

A) databricks bundle run my_project_job -t prod
B) databricks run my_project_job -t prod
C) databricks job run my_project_job --env prod
D) databricks execute my_project_job -e prod

5. A workspace admin has created a new catalog called finance_data and wants to delegate permission management to a finance team lead without giving them full admin rights. Which privilege should be granted to the finance team lead?

A) GRANT OPTION privilege on the finance_data catalog.
B) Make the finance team lead a metastore admin.
C) MANAGE privilege on the finance_data catalog.
D) ALL PRIVILEGES on the finance_data catalog.

Solutions: