Databricks Databricks-Certified-Data-Engineer-Professional Q&A - in .pdf

  • Exam Code: Databricks-Certified-Data-Engineer-Professional
  • Exam Name: Databricks Certified Data Engineer Professional Exam
  • Updated: Jun 11, 2026
  • Q & A: 250 Questions and Answers
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  • Exam Code: Databricks-Certified-Data-Engineer-Professional
  • Exam Name: Databricks Certified Data Engineer Professional Exam
  • Updated: Jun 11, 2026
  • Q & A: 250 Questions and Answers
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Databricks Certified Data Engineer Professional Sample Questions:

1. A data engineering team is setting up deployment automation. To deploy workspace assets remotely using the Databricks CLI command, they must configure it with proper authentication.
Which authentication approach will provide the highest level of security?

A) Use a service principal and its Personal Access Token.
B) Use a service principal ID and its OAuth client secret.
C) Use a service principal with OAuth token federation.
D) Use a shared user account and its OAuth client secret.


2. A data engineer has created a new cluster using shared access mode with default configurations.
The data engineer needs to allow the development team access to view the driver logs if needed.
What are the minimal cluster permissions that allow the development team to accomplish this?

A) CAN VIEW
B) CAN RESTART
C) CAN ATTACH TO
D) CAN MANAGE


3. When a new Databricks project starts, the central IP team provisions the required infrastructure using Terraform and a Service Principal. This includes creating a Databricks workspace, a Unity Catalog linked to an External Location, and a Databricks group containing all project team members. Project teams must store all assets - e.g., tables and volumes, as Managed assets in Unity Catalog. This model hides infrastructure complexity while giving teams autonomy within their catalog. They can create and manage schemas, tables, volumes, and related objects but cannot rename, delete, or change catalog permissions, those remain under IT's control. Which rights should the project group be granted to enable this model?

A) The group needs to have ALL PRIVILEGES on the catalog.
B) The group should be made OWNER of the catalog.
C) The group needs to have ALL PRIVILEGES and the MANAGE on the catalog.
D) The group needs to have USE CATALOG and USE SCHEMA on the catalog.


4. Which statement describes the default execution mode for Databricks Auto Loader?

A) Webhook trigger Databricks job to run anytime new data arrives in a source directory; new data automatically merged into target tables using rules inferred from the data.
B) Cloud vendor-specific queue storage and notification services are configured to track newly arriving files; the target table is materialized by directly querying all valid files in the source directory.
C) New files are identified by listing the input directory; the target table is materialized by directory querying all valid files in the source directory.
D) New files are identified by listing the input directory; new files are incrementally and idempotently loaded into the target Delta Lake table.
E) Cloud vendor-specific queue storage and notification services are configured to track newly arriving files; new files are incrementally and impotently into the target Delta Lake table.


5. A data engineer deploys a multi-task Databricks job that orchestrates three notebooks. One task intermittently fails with Exit Code 1 but succeeds on retry. The engineer needs to collect detailed logs for the failing attempts, including stdout/stderr and cluster lifecycle context, and share them with the platform team. What steps the data engineer needs to follow using built-in tools?

A) Download worker logs directly from the Spark UI and ignore driver logs, as worker logs contain stdout/stderr for all tasks and cluster events.
B) Export the notebook run results to HTML; this bundle includes complete stdout, stderr, and cluster event history across all tasks.
C) Use the notebook interactive debugger to re-run the entire multi-task job, and capture step- through traces for the failing task.
D) From the job run details page, export the job's logs or configure log delivery; then retrieve the compute driver logs and event logs from the compute details page to correlate stdout/stderr with cluster events.


Solutions:

Question # 1
Answer: C
Question # 2
Answer: A
Question # 3
Answer: D
Question # 4
Answer: D
Question # 5
Answer: D

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