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Databricks Databricks-Certified-Data-Engineer-Associate Exam With Confidence Using Practice Dumps

Exam Code:
Databricks-Certified-Data-Engineer-Associate
Exam Name:
Databricks Certified Data Engineer Associate Exam
Certification:
Databricks Certification
Vendor:
Databricks
Questions:
230
Last Updated:
Aug 22, 2026
Exam Status:
Stable
Databricks Databricks-Certified-Data-Engineer-Associate

Databricks-Certified-Data-Engineer-Associate: Databricks Certification Exam 2025 Study Guide Pdf and Test Engine

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Databricks Certified Data Engineer Associate Exam Questions and Answers

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Question 1

Identify a scenario to use an external table.

A Data Engineer needs to create a parquet bronze table and wants to ensure that it gets stored in a specific path in an external location.

Which table can be created in this scenario?

Options:

A.

An external table where the location is pointing to specific path in external location.

B.

An external table where the schema has managed location pointing to specific path in external location.

C.

A managed table where the catalog has managed location pointing to specific path in external location.

D.

A managed table where the location is pointing to specific path in external location.

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Question 2

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

Question 3

A data engineer needs to conduct Exploratory Analysis on data residing in a database that is within the company ' s custom-defined network in the cloud. The data engineer is using SQL for this task.

Which type of SQL Warehouse will enable the data engineer to process large numbers of queries quickly and cost-effectively?

Options:

A.

Serverless compute for notebooks

B.

Serverless SQL Warehouse

C.

Classic SQL Warehouse

D.

Pro SQL Warehouse

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