Databricks Databricks Certified Data Engineer Professional Databricks Certified Data Engineer Professional Exam Online Training
Databricks Databricks Certified Data Engineer Professional Online Training
The questions for Databricks Certified Data Engineer Professional were last updated at Dec 20,2025.
- Exam Code: Databricks Certified Data Engineer Professional
- Exam Name: Databricks Certified Data Engineer Professional Exam
- Certification Provider: Databricks
- Latest update: Dec 20,2025
When using the complete mode to write stream data, how does it impact the target table?
- A . Entire stream waits for complete data to write
- B . Stream must complete to write the data
- C . Target table cannot be updated while stream is pending
- D . Target table is overwritten for each batch
- E . Delta commits transaction once the stream is stopped
FROM carts GROUP BY cartId
Expected result:
cartId items
1 [1,100,200,300,250]
- A . FLATTEN, COLLECT_UNION
- B . ARRAY_UNION, FLATTEN
- C . ARRAY_UNION, ARRAY_DISTINT
- D . ARRAY_UNION, COLLECT_SET
- E . ARRAY_DISTINCT, ARRAY_UNION
While investigating a data issue in a Delta table, you wanted to review logs to see when and who updated the table, what is the best way to review this data?
- A . Review event logs in the Workspace
- B . Run SQL SHOW HISTORY table_name
- C . Check Databricks SQL Audit logs
- D . Run SQL command DESCRIBE HISTORY table_name
- E . Review workspace audit logs
What is the purpose of a silver layer in Multi hop architecture?
- A . Replaces a traditional data lake
- B . Efficient storage and querying of full and unprocessed history of data
- C . A schema is enforced, with data quality checks.
- D . Refined views with aggregated data
- E . Optimized query performance for business-critical data
What is the purpose of a silver layer in Multi hop architecture?
- A . Replaces a traditional data lake
- B . Efficient storage and querying of full and unprocessed history of data
- C . A schema is enforced, with data quality checks.
- D . Refined views with aggregated data
- E . Optimized query performance for business-critical data
What is the purpose of a silver layer in Multi hop architecture?
- A . Replaces a traditional data lake
- B . Efficient storage and querying of full and unprocessed history of data
- C . A schema is enforced, with data quality checks.
- D . Refined views with aggregated data
- E . Optimized query performance for business-critical data
What is the purpose of a silver layer in Multi hop architecture?
- A . Replaces a traditional data lake
- B . Efficient storage and querying of full and unprocessed history of data
- C . A schema is enforced, with data quality checks.
- D . Refined views with aggregated data
- E . Optimized query performance for business-critical data
What is the purpose of a silver layer in Multi hop architecture?
- A . Replaces a traditional data lake
- B . Efficient storage and querying of full and unprocessed history of data
- C . A schema is enforced, with data quality checks.
- D . Refined views with aggregated data
- E . Optimized query performance for business-critical data
What is the purpose of a silver layer in Multi hop architecture?
- A . Replaces a traditional data lake
- B . Efficient storage and querying of full and unprocessed history of data
- C . A schema is enforced, with data quality checks.
- D . Refined views with aggregated data
- E . Optimized query performance for business-critical data
What is the purpose of a silver layer in Multi hop architecture?
- A . Replaces a traditional data lake
- B . Efficient storage and querying of full and unprocessed history of data
- C . A schema is enforced, with data quality checks.
- D . Refined views with aggregated data
- E . Optimized query performance for business-critical data
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