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Databricks Certified Data Engineer Professional Sample Questions:

1. A data engineer is performing a join operation to combine values from a static userlookup table with a streaming DataFrame streamingDF.
Which code block attempts to perform an invalid stream-static join?

A) streamingDF.join(userLookup, ["user_id"], how="left")
B) streamingDF.join(userLookup, ["user_id"], how="outer")
C) userLookup.join(streamingDF, ["userid"], how="inner")
D) streamingDF.join(userLookup, ["userid"], how="inner")
E) userLookup.join(streamingDF, ["user_id"], how="right")

2. A data architect has designed a system in which two Structured Streaming jobs will concurrently write to a single bronze Delta table. Each job is subscribing to a different topic from an Apache Kafka source, but they will write data with the same schema. To keep the directory structure simple, a data engineer has decided to nest a checkpoint directory to be shared by both streams.
The proposed directory structure is displayed below:

Which statement describes whether this checkpoint directory structure is valid for the given scenario and why?

A) Yes; Delta Lake supports infinite concurrent writers.
B) Yes; both of the streams can share a single checkpoint directory.
C) No; each of the streams needs to have its own checkpoint directory.
D) No; Delta Lake manages streaming checkpoints in the transaction log.
E) No; only one stream can write to a Delta Lake table.

3. A data engineering workspace was automatically enabled for Unity Catalog, creating a workspace catalog. New team members report they can create tables in the default schema but cannot access table in other schemas within the same workspace catalog. Why are the new team members unable to access tables in other schemas?

A) New users only receive CREATE TABLE privileges on the default schema.
B) Tables in other schemas require additional BROWSEprivileges that new users don't receive automatically
C) Workspace users receive USE CATALOG and specific privileges on default schema only.
D) Workspace catalog permissions are not subject to inheritance rules.

4. 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) 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.
B) 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.
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) 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.

5. A data engineer is creating a daily reporting job. There are two reporting notebooks--one for weekdays and one for weekends. An "if/else condition" task is configured as
{{job.start_time.is_weekday}} == true to route the job to either the weekday or weekend notebook tasks. The same job would be used across multiple time zones. Which action should a senior data engineer take upon reviewing the job to merge or reject the pull request?

A) Reject, as they should use {{job.trigger_time.is_weekday}} instead.
B) Reject, as the {{job.start_time.is_weekday}} is for the UTC timezone.
C) Reject, as the {{job.start_time.is_weekday}} is not a valid value reference.
D) Merge, as the job configuration looks good.

Solutions: