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Databricks-Certified-Professional-Data-Engineer Exam Dumps : Databricks Certified Data Engineer Professional Exam

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Databricks Certified Data Engineer Professional Exam Questions and Answers

Question 1

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?

Options:

A.

All data should be deleted biweekly; Delta Lake ' s time travel functionality should be leveraged to maintain a history of non-PII information.

B.

Data should be partitioned by the registration field, allowing ACLs and delete statements to be set for the PII directory.

C.

Because the value field is stored as binary data, this information is not considered PII and no special precautions should be taken.

D.

Separate object storage containers should be specified based on the partition field, allowing isolation at the storage level.

E.

Data should be partitioned by the topic field, allowing ACLs and delete statements to leverage partition boundaries.

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Question 2

Assuming that the Databricks CLI has been installed and configured correctly, which Databricks CLI command can be used to upload a custom Python Wheel to object storage mounted with the DBFS for use with a production job?

Options:

A.

configure

B.

fs

C.

jobs

D.

libraries

E.

workspace

Question 3

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

Options:

A.

In the Spark UI, take the job duration of the longest-running job associated with that query.

B.

In the Spark UI, take the sum of all task durations that ran across all stages for all jobs associated with that query.

C.

Open the Query Profiler associated with that query and use the Total wall-clock duration metric.

D.

Open the Query Profiler associated with that query and use the Aggregated task time metric.