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Databricks Certified Data Engineer Professional Sample Questions:

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

2. Which statement describes the correct use of pyspark.sql.functions.broadcast?

A) It marks a column as having low enough cardinality to properly map distinct values to available partitions, allowing a broadcast join.
B) It caches a copy of the indicated table on attached storage volumes for all active clusters within a Databricks workspace.
C) It caches a copy of the indicated table on all nodes in the cluster for use in all future queries during the cluster lifetime.
D) It marks a column as small enough to store in memory on all executors, allowing a broadcast join.
E) It marks a DataFrame as small enough to store in memory on all executors, allowing a broadcast join.

3. A distributed team of data analysts share computing resources on an interactive cluster with autoscaling configured. In order to better manage costs and query throughput, the workspace administrator is hoping to evaluate whether cluster upscaling is caused by many concurrent users or resource-intensive queries.
In which location can one review the timeline for cluster resizing events?

A) Executor's log file
B) Cluster Event Log
C) Driver's log file
D) Ganglia
E) Workspace audit logs

4. A data engineer, User A, has promoted a new pipeline to production by using the REST API to programmatically create several jobs. A DevOps engineer, User B, has configured an external orchestration tool to trigger job runs through the REST API. Both users authorized the REST API calls using their personal access tokens.
Which statement describes the contents of the workspace audit logs concerning these events?

A) Because User A created the jobs, their identity will be associated with both the job creation events and the job run events.
B) Because User B last configured the jobs, their identity will be associated with both the job creation events and the job run events.
C) Because the REST API was used for job creation and triggering runs, a Service Principal will be automatically used to identity these events.
D) Because the REST API was used for job creation and triggering runs, user identity will not be captured in the audit logs.
E) Because these events are managed separately, User A will have their identity associated with the job creation events and User B will have their identity associated with the job run events.

5. A view is registered with the following code:

Both users and orders are Delta Lake tables.
Which statement describes the results of querying recent_orders?

A) All logic will execute when the table is defined and store the result of joining tables to the DBFS; this stored data will be returned when the table is queried.
B) All logic will execute at query time and return the result of joining the valid versions of the source tables at the time the query finishes.
C) The versions of each source table will be stored in the table transaction log; query results will be saved to DBFS with each query.
D) All logic will execute at query time and return the result of joining the valid versions of the source tables at the time the query began.

Solutions: