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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:
Vendor:
Questions:
230
Last Updated:
Sep 11, 2026
Exam Status:
Stable
Databricks Databricks-Certified-Data-Engineer-Associate

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Databricks Certified Data Engineer Associate Exam Questions and Answers

Question 1

A data engineering team has two tables. The first table march_transactions is a collection of all retail transactions in the month of March. The second table april_transactions is a collection of all retail transactions in the month of April. There are no duplicate records between the tables.

Which of the following commands should be run to create a new table all_transactions that contains all records from march_transactions and april_transactions without duplicate records?

Options:

A.

CREATE TABLE all_transactions ASSELECT * FROM march_transactionsINNER JOIN SELECT * FROM april_transactions;

B.

CREATE TABLE all_transactions ASSELECT * FROM march_transactionsUNION SELECT * FROM april_transactions;

C.

CREATE TABLE all_transactions ASSELECT * FROM march_transactionsOUTER JOIN SELECT * FROM april_transactions;

D.

CREATE TABLE all_transactions ASSELECT * FROM march_transactionsINTERSECT SELECT * from april_transactions;

E.

CREATE TABLE all_transactions ASSELECT * FROM march_transactionsMERGE SELECT * FROM april_transactions;

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Question 2

A data engineer is deploying a dashboard through a Declarative Automation Bundle. The dashboard resource references ${var.dataset_catalog}, and the bundle contains the following configuration:

bundle:

name: workspace_assets

variables:

dataset_catalog:

default: catalog_dev

targets:

dev:

variables:

dataset_catalog: catalog_dev

prod:

variables:

dataset_catalog: catalog_prod

Which action deploys the dashboard to the production target using catalog_prod without changing the resource definition?

Options:

A.

Run databricks bundle deploy --var dataset_catalog=catalog_prod so that the CLI automatically selects targets.prod.

B.

Run databricks bundle deploy --profile prod so that the CLI selects targets.prod and applies catalog_prod.

C.

Run databricks bundle execute --profile prod so that the CLI selects targets.prod and applies catalog_prod.

D.

Run databricks bundle deploy --target prod so that the deployment uses targets.prod and its dataset_catalog override.

Question 3

A departing platform owner currently holds ownership of multiple catalogs and controls storage credentials and external locations. The data engineer wants to ensure continuity: transfer catalog ownership to the platform team group, delegate ongoing privilege management, and retain the ability to receive and share data via Delta Sharing .

Which role must be in place to perform these actions across the metastore?

Options:

A.

Account Admin, because account admins can only create metastores but cannot change ownership of catalogs.

B.

Workspace Admin, because workspace admins can transfer ownership of any Unity Catalog object.

C.

Metastore Admin, because metastore admins can transfer ownership and manage privileges across all metastore objects, including shares and recipients.

D.

Catalog Owner, because catalog owners can transfer any object in any catalog in the metastore.