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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

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Question 1

An organization plans to share a large dataset stored in a Databricks workspace on AWS with a partner organization whose Databricks workspace is hosted on Azure. The data engineer wants to minimize data transfer costs while ensuring secure and efficient data sharing.

Which strategy will reduce data egress costs associated with cross-cloud data sharing?

Options:

A.

Sharing data via pre-signed URLs without monitoring egress costs

B.

Migrating the dataset to Cloudflare R2 object storage before sharing

C.

Configure VPN connection between AWS and Azure for faster data sharing

D.

Using Delta Sharing without any additional configurations

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Question 2

What is the functionality of AutoLoader in Databricks?

Options:

A.

Auto Loader automatically ingests and processes new files from cloud storage, handling batch data with support for schema evolution.

B.

Auto Loader automatically ingests and processes new files from cloud storage, handling only streaming data with no support for schema evolution.

C.

Auto Loader automatically ingests and processes new files from cloud storage, handling batch and streaming data with no support for schema evolution.

D.

Auto Loader automatically ingests and processes new files from cloud storage, handling both batch and streaming data with support for schema evolution.

Question 3

A data engineer has joined an existing project and they see the following query in the project repository:

CREATE STREAMING LIVE TABLE loyal_customers AS

SELECT customer_id -

FROM STREAM(LIVE.customers)

WHERE loyalty_level = 'high';

Which of the following describes why the STREAM function is included in the query?

Options:

A.

The STREAM function is not needed and will cause an error.

B.

The table being created is a live table.

C.

The customers table is a streaming live table.

D.

The customers table is a reference to a Structured Streaming query on a PySpark DataFrame.

E.

The data in the customers table has been updated since its last run.

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