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
Which of the following technique can be used to implement fine-grained access control to rows and columns of the Delta table based on the user’s access?
- A . Use Unity catalog to grant access to rows and columns
- B . Row and column access control lists
- C . Use dynamic view functions
- D . Data access control lists
- E . Dynamic Access control lists with Unity Catalog
Which of the following technique can be used to implement fine-grained access control to rows and columns of the Delta table based on the user’s access?
- A . Use Unity catalog to grant access to rows and columns
- B . Row and column access control lists
- C . Use dynamic view functions
- D . Data access control lists
- E . Dynamic Access control lists with Unity Catalog
Which of the following technique can be used to implement fine-grained access control to rows and columns of the Delta table based on the user’s access?
- A . Use Unity catalog to grant access to rows and columns
- B . Row and column access control lists
- C . Use dynamic view functions
- D . Data access control lists
- E . Dynamic Access control lists with Unity Catalog
Which of the statements are incorrect when choosing between lakehouse and Datawarehouse?
- A . Lakehouse can have special indexes and caching which are optimized for Machine learning
- B . Lakehouse cannot serve low query latency with high reliability for BI workloads, only suitable for batch workloads.
- C . Lakehouse can be accessed through various API’s including but not limited to Python/R/SQL
- D . Traditional Data warehouses have storage and compute are coupled.
- E . Lakehouse uses standard data formats like Parquet.
Which of the following statements are true about a lakehouse?
- A . Lakehouse only supports Machine learning workloads and Data warehouses support BI workloads
- B . Lakehouse only supports end-to-end streaming workloads and Data warehouses support Batch workloads
- C . Lakehouse does not support ACID
- D . Lakehouse do not support SQL
- E . Lakehouse supports Transactions
Where are Interactive notebook results stored in Databricks product architecture?
- A . Data plane
- B . Control plane
- C . Data and Control plane
- D . JDBC data source
- E . Databricks web application
Which of the following SQL statement can be used to query a table by eliminating duplicate rows from the query results?
- A . SELECT DISTINCT * FROM table_name
- B . SELECT DISTINCT * FROM table_name HAVING COUNT(*) > 1
- C . SELECT DISTINCT_ROWS (*) FROM table_name
- D . SELECT * FROM table_name GROUP BY * HAVING COUNT(*) < 1
- E . SELECT * FROM table_name GROUP BY * HAVING COUNT(*) > 1
You are looking to process the data based on two variables, one to check if the department is supply chain and second to check if process flag is set to True
- A . if department = “supply chain” & process:
- B . if department == “supply chain” && process:
- C . if department == “supply chain” & process == TRUE:
- D . if department == “supply chain” & if process == TRUE:
- E . if department == "supply chain" and process:
When writing streaming data, Spark’s structured stream supports the below write modes
- A . Append, Delta, Complete
- B . Delta, Complete, Continuous
- C . Append, Complete, Update
- D . Complete, Incremental, Update
- E . Append, overwrite, Continuous
Which of the following is correct for the global temporary view?
- A . global temporary views cannot be accessed once the notebook is detached and attached
- B . global temporary views can be accessed across many clusters
- C . global temporary views can be still accessed even if the notebook is detached and at-tached
- D . global temporary views can be still accessed even if the cluster is restarted
- E . global temporary views are created in a database called temp database
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