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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

An upstream system is emitting change data capture (CDC) logs that are being written to a cloud object storage directory. Each record in the log indicates the change type (insert, update, or delete) and the values for each field after the change. The source table has a primary key identified by the field pk_id.

For auditing purposes, the data governance team wishes to maintain a full record of all values that have ever been valid in the source system. For analytical purposes, only the most recent value for each record needs to be recorded. The Databricks job to ingest these records occurs once per hour, but each individual record may have changed multiple times over the course of an hour.

Which solution meets these requirements?

Options:

A.

Create a separate history table for each pk_id resolve the current state of the table by running a union all filtering the history tables for the most recent state.

B.

Use merge into to insert, update, or delete the most recent entry for each pk_id into a bronze table, then propagate all changes throughout the system.

C.

Iterate through an ordered set of changes to the table, applying each in turn; rely on Delta Lake's versioning ability to create an audit log.

D.

Use Delta Lake's change data feed to automatically process CDC data from an external system, propagating all changes to all dependent tables in the Lakehouse.

E.

Ingest all log information into a bronze table; use merge into to insert, update, or delete the most recent entry for each pk_id into a silver table to recreate the current table state.

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Question 2

Which distribution does Databricks support for installing custom Python code packages?

Options:

A.

sbt

B.

CRAN

C.

CRAM

D.

nom

E.

Wheels

F.

jars

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