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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

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

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Question 2

A Delta table of weather records is partitioned by date and has the below schema:

date DATE, device_id INT, temp FLOAT, latitude FLOAT, longitude FLOAT

To find all the records from within the Arctic Circle, you execute a query with the below filter:

latitude > 66.3

Which statement describes how the Delta engine identifies which files to load?

Options:

A.

All records are cached to an operational database and then the filter is applied

B.

The Parquet file footers are scanned for min and max statistics for the latitude column

C.

All records are cached to attached storage and then the filter is applied

D.

The Delta log is scanned for min and max statistics for the latitude column

E.

The Hive metastore is scanned for min and max statistics for the latitude column

Question 3

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

Options:

A.

It marks a column as having low enough cardinality to properly map distinct values to available partitions, allowing a broadcast join.

B.

It marks a column as small enough to store in memory on all executors, allowing a broadcast join.

C.

It caches a copy of the indicated table on attached storage volumes for all active clusters within a Databricks workspace.

D.

It marks a DataFrame as small enough to store in memory on all executors, allowing a broadcast join.

E.

It caches a copy of the indicated table on all nodes in the cluster for use in all future queries during the cluster lifetime.

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