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

Databricks Certified Data Engineer Professional Sample Questions:

1. A data engineer is analyzing transactional data in a PySpark DataFrame df containing customer_id, transaction_timestamp (precise to milliseconds), and amount_spent. The objective is to compute a cumulative sum of amount_spent per customer, strictly ordered by transaction_timestamp. The cumulative sum must include all transactions from the earliest timestamp up to and including the current row, respecting temporal ordering within each customer partition. Which PySpark code snippet most accurately constructs the appropriate window specification and applies the aggregation to yield the correct cumulative expenditure per customer?

A)

B)

C)

D)

2. The data engineer team has been tasked with configured connections to an external database that does not have a supported native connector with Databricks. The external database already has data security configured by group membership. These groups map directly to user group already created in Databricks that represent various teams within the company. A new login credential has been created for each group in the external database. The Databricks Utilities Secrets module will be used to make these credentials available to Databricks users. Assuming that all the credentials are configured correctly on the external database and group membership is properly configured on Databricks, which statement describes how teams can be granted the minimum necessary access to using these credentials?

A) "Read'' permissions should be set on a secret key mapped to those credentials that will be used by a given team.
B) "Read" permissions should be set on a secret scope containing only those credentials that will be used by a given team.
C) "Manage" permission should be set on a secret scope containing only those credentials that will be used by a given team.
D) No additional configuration is necessary as long as all users are configured as administrators in the workspace where secrets have been added.

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

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

4. A data engineering team is setting up deployment automation. To deploy workspace assets remotely using the Databricks CLI command, they must configure it with proper authentication.
Which authentication approach will provide the highest level of security?

A) Use a service principal with OAuth token federation.
B) Use a service principal ID and its OAuth client secret.
C) Use a shared user account and its OAuth client secret.
D) Use a service principal and its Personal Access Token.

5. A data engineering team needs to implement a tagging system for their tables as part of an automated ETL process, and needs to apply tags programmatically to tables in Unity Catalog.
Which SQL command adds tags to a table programmatically?

A) APPLY TAGS ON table_name VALUES ('key1' = 'value1', 'key2' = 'value2');
B) COMMENT ON TABLE table_name TAGS ('key1' = 'value1', 'key2' = 'value2');
C) SET TAGS FOR table_name AS ('key1' = 'value1', 'key2' = 'value2');
D) ALTER TABLE table_name SET TAGS ('key1' = 'value1', 'key2' = 'value2');

Solutions: