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

Databricks Certified Data Engineer Professional Sample Questions:

1. A data engineer needs to implement column masking for a sensitive column in a Unity Catalog- managed table. The masking logic must dynamically check if users belong to specific groups defined in a separate table (group_access) that maps groups to allowed departments. Which approach should the engineer use to efficiently enforce this requirement?

A) Apply a column mask that references the group_access mapping table in its UDF.
B) Create a view without selecting the sensitive column.
C) Use a row filter to restrict access based on the user's group.
D) Create a UDF that hardcodes allowed groups and apply it as a column mask.

2. The data engineering team has configured a Databricks SQL query and alert to monitor the values in a Delta Lake table. The recent_sensor_recordings table contains an identifying sensor_id alongside the timestamp and temperature for the most recent 5 minutes of recordings.
The below query is used to create the alert:

The query is set to refresh each minute and always completes in less than 10 seconds. The alert is set to trigger when mean (temperature) > 120. Notifications are triggered to be sent at most every 1 minute.
If this alert raises notifications for 3 consecutive minutes and then stops, which statement must be true?

A) The maximum temperature recording for at least one sensor exceeded 120 on three consecutive executions of the query
B) The average temperature recordings for at least one sensor exceeded 120 on three consecutive executions of the query
C) The recent_sensor_recordingstable was unresponsive for three consecutive runs of the query
D) The total average temperature across all sensors exceeded 120 on three consecutive executions of the query
E) The source query failed to update properly for three consecutive minutes and then restarted

3. A data engineer is implementing Unity Catalog governance for a multi-team environment. Data scientists need interactive clusters for basic data exploration tasks, while automated ETL jobs require dedicated processing. How should the data engineer configure cluster isolation policies to enforce least privilege and ensure Unity Catalog compliance?

A) Create compute policies with STANDARD access mode for interactive workloads and DEDICATED access mode for automated jobs.
B) Configure all clusters with NO ISOLATION_SHARED access mode since Unity Catalog works with any cluster configuration.
C) Use only DEDICATED access mode for both interactive workloads and automated jobs to maximize security isolation.
D) Allow all users to create any cluster type and rely on manual configuration to enable Unity Catalog access modes.

4. A junior data engineer seeks to leverage Delta Lake's Change Data Feed functionality to create a Type 1 table representing all of the values that have ever been valid for all rows in a bronze table created with the property delta.enableChangeDataFeed = true. They plan to execute the following code as a daily job:

Which statement describes the execution and results of running the above query multiple times?

A) Each time the job is executed, the differences between the original and current versions are calculated; this may result in duplicate entries for some records.
B) Each time the job is executed, only those records that have been inserted or updated since the last execution will be appended to the target table giving the desired result.
C) Each time the job is executed, the entire available history of inserted or updated records will be appended to the target table, resulting in many duplicate entries.
D) Each time the job is executed, the target table will be overwritten using the entire history of inserted or updated records, giving the desired result.
E) Each time the job is executed, newly updated records will be merged into the target table, overwriting previous values with the same primary keys.

5. The following table consists of items found in user carts within an e-commerce website.

The following MERGE statement is used to update this table using an updates view, with schema evolution enabled on this table.

How would the following update be handled?

A) The new nested field is added to the target schema, and files underlying existing records are updated to include NULL values for the new field.
B) The update is moved to separate ''restored'' column because it is missing a column expected in the target schema.
C) The update throws an error because changes to existing columns in the target schema are not supported.
D) The new restored field is added to the target schema, and dynamically read as NULL for existing unmatched records.

Solutions: