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

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Databricks Certified Data Engineer Associate Exam Questions and Answers

Question 1

Which of the following benefits is provided by the array functions from Spark SQL?

Options:

A.

An ability to work with data in a variety of types at once

B.

An ability to work with data within certain partitions and windows

C.

An ability to work with time-related data in specified intervals

D.

An ability to work with complex, nested data ingested from JSON files

E.

An ability to work with an array of tables for procedural automation

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Question 2

A data engineer and data analyst are working together on a data pipeline. The data engineer is working on the raw, bronze, and silver layers of the pipeline using Python, and the data analyst is working on the gold layer of the pipeline using SQL. The raw source of the pipeline is a streaming input. They now want to migrate their pipeline to use Delta Live Tables.

Which of the following changes will need to be made to the pipeline when migrating to Delta Live Tables?

Options:

A.

None of these changes will need to be made

B.

The pipeline will need to stop using the medallion-based multi-hop architecture

C.

The pipeline will need to be written entirely in SQL

D.

The pipeline will need to use a batch source in place of a streaming source

E.

The pipeline will need to be written entirely in Python

Question 3

A data engineer has configured a Structured Streaming job to read from a table, manipulate the data, and then perform a streaming write into a new table.

The code block used by the data engineer is below:

If the data engineer only wants the query to process all of the available data in as many batches as required, which of the following lines of code should the data engineer use to fill in the blank?

Options:

A.

processingTime(1)

B.

trigger(availableNow=True)

C.

trigger(parallelBatch=True)

D.

trigger(processingTime="once")

E.

trigger(continuous="once")