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Common Questions About Databricks Certified Data Engineer Professional

Databricks Certified Data Engineer Professional Sample Questions:

Question 1

The data governance team is reviewing user for deleting records for compliance with GDPR. The following logic has been implemented to propagate deleted requests from the user_lookup table to the user aggregate table.

Assuming that user_id is a unique identifying key and that all users have requested deletion have been removed from the user_lookup table, which statement describes whether successfully executing the above logic guarantees that the records to be deleted from the user_aggregates table are no longer accessible and why?

A. No; files containing deleted records may still be accessible with time travel until a BACUM command is used to remove invalidated data files.
B. No; the change data feed only tracks inserts and updates not deleted records.
C. Yes; the change data feed uses foreign keys to ensure delete consistency throughout the Lakehouse.
D. No; the Delta Lake DELETE command only provides ACID guarantees when combined with the MERGE INTO command
E. Yes; Delta Lake ACID guarantees provide assurance that the DELETE command successed fully and permanently purged these records.

Question 2

A Structured Streaming job deployed to production has been experiencing delays during peak hours of the day. At present, during normal execution, each microbatch of data is processed in less than 3 seconds. During peak hours of the day, execution time for each microbatch becomes very inconsistent, sometimes exceeding 30 seconds. The streaming write is currently configured with a trigger interval of 10 seconds.
Holding all other variables constant and assuming records need to be processed in less than 10 seconds, which adjustment will meet the requirement?

A. Decrease the trigger interval to 5 seconds; triggering batches more frequently allows idle executors to begin processing the next batch while longer running tasks from previous batches finish.
B. Increase the trigger interval to 30 seconds; setting the trigger interval near the maximum execution time observed for each batch is always best practice to ensure no records are dropped.
C. The trigger interval cannot be modified without modifying the checkpoint directory; to maintain the current stream state, increase the number of shuffle partitions to maximize parallelism.
D. Decrease the trigger interval to 5 seconds; triggering batches more frequently may prevent records from backing up and large batches from causing spill.
E. Use the trigger once option and configure a Databricks job to execute the query every 10 seconds; this ensures all backlogged records are processed with each batch.

Question 3

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

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

Question 4

A table named user_ltv is being used to create a view that will be used by data analysts on various teams. Users in the workspace are configured into groups, which are used for setting up data access using ACLs.
The user_ltv table has the following schema:
email STRING, age INT, ltv INT
The following view definition is executed:

An analyst who is not a member of the marketing group executes the following query:
SELECT * FROM email_ltv
Which statement describes the results returned by this query?

A. The email and ltv columns will be returned with the values in user itv.
B. The email, age. and ltv columns will be returned with the values in user ltv.
C. Three columns will be returned, but one column will be named "redacted" and contain only null values.
D. Only the email and ltv columns will be returned; the email column will contain the string
"REDACTED" in each row.
E. Only the email and itv columns will be returned; the email column will contain all null values.

Question 5

Which of the following is true of Delta Lake and the Lakehouse?

A. Z-order can only be applied to numeric values stored in Delta Lake tables
B. Because Parquet compresses data row by row. strings will only be compressed when a character is repeated multiple times.
C. Primary and foreign key constraints can be leveraged to ensure duplicate values are never entered into a dimension table.
D. Delta Lake automatically collects statistics on the first 32 columns of each table which are leveraged in data skipping based on query filters.
E. Views in the Lakehouse maintain a valid cache of the most recent versions of source tables at all times.

Solutions: