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

Databricks Certified Data Engineer Professional Sample Questions:

1. The DevOps team has configured a production workload as a collection of notebooks scheduled to run daily using the Jobs UI. A new data engineering hire is onboarding to the team and has requested access to one of these notebooks to review the production logic.
What are the maximum notebook permissions that can be granted to the user without allowing accidental changes to production code or data?

A) Can Run
B) No permissions
C) Can Edit
D) Can Manage
E) Can Read

2. A data engineering team needs to implement a tagging system for their tables as part of an automated ETL process, and needs to apply tags programmatically to tables in Unity Catalog.
Which SQL command adds tags to a table programmatically?

A) ALTER TABLE table_name SET TAGS ('key1' = 'value1', 'key2' = 'value2');
B) SET TAGS FOR table_name AS ('key1' = 'value1', 'key2' = 'value2');
C) COMMENT ON TABLE table_name TAGS ('key1' = 'value1', 'key2' = 'value2');
D) APPLY TAGS ON table_name VALUES ('key1' = 'value1', 'key2' = 'value2');

3. The Databricks workspace administrator has configured interactive clusters for each of the data engineering groups. To control costs, clusters are set to terminate after 30 minutes of inactivity.
Each user should be able to execute workloads against their assigned clusters at any time of the day.
Assuming users have been added to a workspace but not granted any permissions, which of the following describes the minimal permissions a user would need to start and attach to an already configured cluster.

A) Cluster creation allowed. "Can Restart" privileges on the required cluster
B) Workspace Admin privileges, cluster creation allowed. "Can Attach To" privileges on the required cluster
C) "Can Manage" privileges on the required cluster
D) Cluster creation allowed. "Can Attach To" privileges on the required cluster
E) "Can Restart" privileges on the required cluster

4. All records from an Apache Kafka producer are being ingested into a single Delta Lake table with the following schema:
key BINARY, value BINARY, topic STRING, partition LONG, offset LONG, timestamp LONG There are 5 unique topics being ingested. Only the "registration" topic contains Personal Identifiable Information (PII). The company wishes to restrict access to PII. The company also wishes to only retain records containing PII in this table for 14 days after initial ingestion.
However, for non-PII information, it would like to retain these records indefinitely.
Which of the following solutions meets the requirements?

A) Because the value field is stored as binary data, this information is not considered PII and no special precautions should be taken.
B) All data should be deleted biweekly; Delta Lake's time travel functionality should be leveraged to maintain a history of non-PII information.
C) Data should be partitioned by the registration field, allowing ACLs and delete statements to be set for the PII directory.
D) Data should be partitioned by the topic field, allowing ACLs and delete statements to leverage partition boundaries.
E) Separate object storage containers should be specified based on the partition field, allowing isolation at the storage level.

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

Solutions: