Question 1
Which component of the Databricks architecture is responsible for hosting the web application, notebook interface, and job scheduler?
Show answer & explanation
Correct answer: A - Control plane
10 free, exam-style Databricks Certified Data Engineer Associate (DATABRICKS-DEA) practice questions with answers and explanations. No signup required. Work through them below, then take the full free DATABRICKS-DEA practice test to study every exam domain.
Which component of the Databricks architecture is responsible for hosting the web application, notebook interface, and job scheduler?
Correct answer: A - Control plane
A data engineer wants to ensure that patient health records never leave their organization's cloud account. In the Databricks architecture, where is customer data stored?
Correct answer: B - In the customer's own cloud account within the data plane
Which of the following is hosted entirely within the Databricks control plane?
Correct answer: C - The Databricks web application and REST APIs
A security team asks where Databricks stores the actual data files for Delta tables. Which statement is correct?
Correct answer: D - Data files are stored in the customer's cloud object storage in the data plane
What is the PRIMARY relationship between the Databricks control plane and data plane?
Correct answer: A - The control plane sends commands and the data plane executes them on customer infrastructure
Which of the following resides in the Databricks data plane?
Correct answer: B - Compute resources (virtual machines)
A data engineer is explaining Databricks architecture to a new team member. Which statement accurately describes the workspace?
Correct answer: C - A workspace is the primary collaborative environment for organizing notebooks, repos, jobs, and compute resources
Which of the following is NOT an asset that can be organized within a Databricks workspace?
Correct answer: D - Cloud VPC network configurations
An organization operates in multiple geographic regions and needs strict data isolation between teams. Which Databricks deployment approach supports this requirement?
Correct answer: A - Deploying multiple workspaces with separate data planes per region
Which layer of the Databricks architecture manages cluster lifecycle operations such as starting, stopping, and autoscaling?
Correct answer: B - Control plane
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