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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

A small company based in the United States has recently contracted a consulting firm in India to implement several new data engineering pipelines to power artificial intelligence applications. All the company's data is stored in regional cloud storage in the United States.

The workspace administrator at the company is uncertain about where the Databricks workspace used by the contractors should be deployed.

Assuming that all data governance considerations are accounted for, which statement accurately informs this decision?

Options:

A.

Databricks runs HDFS on cloud volume storage; as such, cloud virtual machines must be deployed in the region where the data is stored.

B.

Databricks workspaces do not rely on any regional infrastructure; as such, the decision should be made based upon what is most convenient for the workspace administrator.

C.

Cross-region reads and writes can incur significant costs and latency; whenever possible, compute should be deployed in the same region the data is stored.

D.

Databricks leverages user workstations as the driver during interactive development; as such, users should always use a workspace deployed in a region they are physically near.

E.

Databricks notebooks send all executable code from the user's browser to virtual machines over the open internet; whenever possible, choosing a workspace region near the end users is the most secure.

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Question 2

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.

Question 3

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