Databricks Certified-Data-Engineer-Professional Exam Overview:
| Certification Vendor: | Databricks |
|---|---|
| Exam Name: | Databricks Certified Data Engineer Professional |
| Exam Number: | Certified-Data-Engineer-Professional |
| Exam Price: | USD 200 plus applicable taxes |
| Exam Duration: | 120 minutes |
| Related Certifications: | Databricks Certified Data Engineer Associate |
| Real Exam Qty: | 59 scored multiple-choice questions |
| Exam Format: | Test center proctored, Online proctored, Multiple-choice questions |
| Available Languages: | English |
| Certificate Validity Period: | 2 years |
| Recommended Training: | Databricks Academy Advanced Data Engineering with Databricks |
| Exam Registration: | Databricks Certified Data Engineer Professional Certification |
| Sample Questions: | Databricks Certified-Data-Engineer-Professional Sample Questions |
| Exam Way: | Online proctored or test center proctored |
| Pre Condition: | No prerequisite is required. Related course attendance and one year of hands-on experience in data engineering tasks covered by the exam are highly recommended. |
| Official Syllabus URL: | https://www.databricks.com/sites/default/files/2025-11/databricks-certified-data-engineer-professional-exam-guide-november-30-2025.pdf |
Databricks Certified-Data-Engineer-Professional Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Sharing and Federation | - Share and federate data
|
| Topic 2: Monitoring and Alerting | - Alerting
|
| Topic 3: Data Ingestion & Acquisition | - Design and implement data ingestion pipelines
|
| Topic 4: Ensuring Data Security and Compliance | - Applying Data Security Mechanisms
|
| Topic 5: Data Transformation, Cleansing, and Quality | - Transform and validate data
|
| Topic 6: Data Governance | - Govern enterprise data
|
| Topic 7: Data Modeling | - Design and optimize data models
|
| Topic 8: Debugging and Deploying | - Deploying CI/CD
|
| Topic 9: Developing Code for Data Processing using Python and SQL | - Building and Testing an ETL Pipeline with Lakeflow Declarative Pipelines, SQL, and Apache Spark
|
| Topic 10: Cost & Performance Optimization | - Optimize cost and performance
|
Databricks Certified Data Engineer Professional Sample Questions:
A workspace admin has created a new catalog called finance_data and wants to delegate permission management to a finance team lead without giving them full admin rights. Which privilege should be granted to the finance team lead?
- A. GRANT OPTION privilege on the finance_data catalog.
- B. ALL PRIVILEGES on the finance_data catalog.
- C. MANAGE privilege on the finance_data catalog.
- D. Make the finance team lead a metastore admin.
Correct Answer: C 🗳️
Explanation: Only visible for BraindumpQuiz members. You can sign-up / login (it's free).
A data company uses Databricks Unity Catalog and has multiple enterprise data sources, including PostgreSQL, Snowflake, and SQL Server. The central data platform team wants to configure Lakehouse Federation so analysts can query external tables directly in Databricks using Databricks SQL, without duplicating data. Which steps are necessary to configure Lakehouse Federation in a secure and governed manner?
- A. Use Partner Connect to create linked datasets, and apply table ACLs at the source system to govern access through Databricks.
- B. Create external locations and storage credentials to connect to each database, then register foreign tables in Unity Catalog.
- C. Mirror the external datasets into Delta Lake using Auto Loader, and govern them using Data Lineage and System Tables.
- D. Configure connections and foreign catalog in Unity Catalog, then grant access to foreign catalogs, schemas, and tables using Unity Catalog permissions.
Correct Answer: D 🗳️
Explanation: Only visible for BraindumpQuiz members. You can sign-up / login (it's free).
Incorporating unit tests into a PySpark application requires upfront attention to the design of your jobs, or a potentially significant refactoring of existing code.
Which statement describes a main benefit that offset this additional effort?
- A. Troubleshooting is easier since all steps are isolated and tested individually
- B. Yields faster deployment and execution times
- C. Ensures that all steps interact correctly to achieve the desired end result
- D. Improves the quality of your data
- E. Validates a complete use case of your application
Correct Answer: A 🗳️
A security team wants to enforce data protection for a customer table containing customer PII data. To comply with local policies, sales team members should only see customers from their region, while non-admin users should have email addresses masked. Which implementation approach should be used when using Unity Catalog row filters and column masks?
- A. Create SQL UDFs for row filtering based on user region and column masking based on group membership, then apply them using ALTER TABLE SET ROW FILTER and ALTER COLUMN SET MASK commands.
- B. Create a view with dynamic WHERE clauses for region filtering and use string replacement functions for email masking using ALTER COLUMN SET MASK command.
- C. Use table ACLs to restrict access using tags with GRANT SELECT ON table_name WITH TAG command, and rely on application-level filtering for sensitive data based on user region.
- D. Implement row filters with SQL UDFs based on user region only since column masks cannot be combined with row filters on the same table, then apply them be recreating the table with DROP TABLE and CREATE TABLE SET ROW FILTER commands.
Correct Answer: A 🗳️
Explanation: Only visible for BraindumpQuiz members. You can sign-up / login (it's free).
A data engineer wants to automate job monitoring and recovery in Databricks using the Jobs API.
They need to list all jobs, identify a failed job, and rerun it. Which sequence of API actions should the data engineer perform?
- A. Use the jobs/list endpoint to list jobs, check job run statuses with jobs/runs/list, and rerun a failed job using jobs/run-now.
- B. Use the jobs/list endpoint to list jobs, then use the jobs/create endpoint to create a new job, and run the new job using jobs/run-now.
- C. Use the jobs/cancel endpoint to remove failed jobs, then recreate them with jobs/create and run the new ones.
- D. Use the jobs/get endpoint to retrieve job details, then use jobs/update to rerun failed jobs.
Correct Answer: A 🗳️
Explanation: Only visible for BraindumpQuiz members. You can sign-up / login (it's free).
Viewing page 1 out of 50 pages.
Viewing questions 1-5 out of 250 questions.
We're so confident of our products that we provide no hassle product exchange.


By Ashbur

