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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 12, 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 new data engineering team team. has been assigned to an ELT project. The new data engineering team will need full privileges on the database customers to fully manage the project.

Which of the following commands can be used to grant full permissions on the database to the new data engineering team?

Options:

A.

GRANT USAGE ON DATABASE customers TO team;

B.

GRANT ALL PRIVILEGES ON DATABASE team TO customers;

C.

GRANT SELECT PRIVILEGES ON DATABASE customers TO teams;

D.

GRANT SELECT CREATE MODIFY USAGE PRIVILEGES ON DATABASE customers TO team;

E.

GRANT ALL PRIVILEGES ON DATABASE customers TO team;

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Question 2

A data engineer has developed a Python notebook in a Databricks workspace and configured it to run as a scheduled job to process daily sales data.

How are the storage and execution of this notebook managed within the Databricks architecture?

Options:

A.

The notebook is stored securely and encrypted in the compute plane, and the code executes in the control plane when the job runs.

B.

The notebook is stored securely and encrypted in Unity Catalog, and the code executes in Delta Lake when the job runs.

C.

The notebook is stored securely and encrypted in the control plane, and the code executes in the compute plane when the job runs.

D.

The notebook is stored unencrypted in the workspace storage bucket, and the code executes on the cluster driver node in the compute plane when the job runs.

Question 3

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.