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Databricks Certified Data Engineer Professional Sample Questions:

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

2. Which statement regarding stream-static joins and static Delta tables is correct?

A) The checkpoint directory will be used to track updates to the static Delta table.
B) Stream-static joins cannot use static Delta tables because of consistency issues.
C) Each microbatch of a stream-static join will use the most recent version of the static Delta table as of the job's initialization.
D) Each microbatch of a stream-static join will use the most recent version of the static Delta table as of each microbatch.
E) The checkpoint directory will be used to track state information for the unique keys present in the join.

3. An upstream system is emitting change data capture (CDC) logs that are being written to a cloud object storage directory. Each record in the log indicates the change type (insert, update, or delete) and the values for each field after the change. The source table has a primary key identified by the field pk_id.
For analytical purposes, only the most recent value for each record needs to be recorded in the target Delta Lake table in the Lakehouse. The Databricks job to ingest these records occurs once per hour, but each individual record may have changed multiple times over the course of an hour.
Which solution meets these requirements?

A) Use Delta Lake's change data feed to automatically process CDC data from an external system, propagating all changes to all dependent tables in the Lakehouse.
B) Deduplicate records in each batch by pk_id and overwrite the target table.
C) Iterate through an ordered set of changes to the table, applying each in turn to create the current state of the table, (insert, update, delete), timestamp of change, and the values.
D) Use MERGE INTO to insert, update, or delete the most recent entry for each pk_id into a table, then propagate all changes throughout the system.

4. Which method can be used to determine the total wall-clock time it took to execute a query?

A) In the Spark UI, take the sum of all task durations that ran across all stages for all jobs associated with that query.
B) Open the Query Profiler associated with that query and use the Total wall-clock duration metric.
C) Open the Query Profiler associated with that query and use the Aggregated task time metric.
D) In the Spark UI, take the job duration of the longest-running job associated with that query.

5. A data engineer is setting up a pipeline to ingest data from a message bus system that occasionally delivers duplicate messages. The duplicate messages can be a week apart. The target is a Databricks Delta Lake table where each record should appear exactly once. Which Databricks ingestion pattern should be implemented to handle potential duplicates where events can arrive outside of the configured watermark?

A) Configure Structured Streaming with dropDuplicates transformation
B) Implement a write operation using MERGE INTO with a unique key
C) Use Delta Lake time travel to identify and remove duplicates
D) Use Delta Lake's change data feed to filter duplicate records

Solutions: