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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

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Question 1

A DLT pipeline includes the following streaming tables:

Raw_lot ingest raw device measurement data from a heart rate tracking device.

Bgm_stats incrementally computes user statistics based on BPM measurements from raw_lot.

How can the data engineer configure this pipeline to be able to retain manually deleted or updated records in the raw_iot table while recomputing the downstream table when a pipeline update is run?

Options:

A.

Set the skipChangeCommits flag to true on bpm_stats

B.

Set the SkipChangeCommits flag to true raw_lot

C.

Set the pipelines, reset, allowed property to false on bpm_stats

D.

Set the pipelines, reset, allowed property to false on raw_iot

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Question 2

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.

Options:

A.

"Can Manage" privileges on the required cluster

B.

Workspace Admin privileges, cluster creation allowed. "Can Attach To" privileges on the required cluster

C.

Cluster creation allowed. "Can Attach To" privileges on the required cluster

D.

"Can Restart" privileges on the required cluster

E.

Cluster creation allowed. "Can Restart" privileges on the required cluster

Question 3

A nightly job ingests data into a Delta Lake table using the following code:

The next step in the pipeline requires a function that returns an object that can be used to manipulate new records that have not yet been processed to the next table in the pipeline.

Which code snippet completes this function definition?

def new_records():

Options:

A.

return spark.readStream.table("bronze")

B.

return spark.readStream.load("bronze")

C.

D.

return spark.read.option("readChangeFeed", "true").table ("bronze")

E.

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