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Updated: Sep 29, 2026
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| Certification Vendor: | Databricks |
|---|---|
| Exam Name: | Databricks Certified Data Engineer Professional Exam |
| Exam Number: | Databricks-Certified-Data-Engineer-Professional |
| Exam Price: | USD 200 |
| Related Certifications: | Databricks Certified Data Engineer Associate |
| Available Languages: | English, Portuguese (Brazil), Japanese, Korean |
| Passing Score: | Not publicly disclosed |
| Certificate Validity Period: | 2 years |
| Exam Format: | Multiple choice |
| Exam Duration: | 120 minutes |
| Real Exam Qty: | 59-60 |
| Recommended Training: | Advanced Data Engineering with Databricks Databricks Streaming and Lakeflow Spark Declarative Pipelines |
| Exam Registration: | Databricks Certification Exam Registration |
| Sample Questions: | Databricks Databricks-Certified-Data-Engineer-Professional Sample Questions |
| Exam Way: | Online proctored or in-person test center |
| Pre Condition: | No mandatory prerequisites; 1+ years hands-on data engineering experience and related training highly recommended |
| Official Syllabus URL: | https://www.databricks.com/learn/certification/data-engineer-professional |
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Modelling | 6% | - Optimize table design and partitioning - Implement dimensional and relational models - Design Medallion Architecture |
| Topic 2: Data Ingestion & Acquisition | 7% | - Use Auto Loader and structured streaming - Ingest data from diverse sources - Handle incremental and batch data loads |
| Topic 3: Data Transformation, Cleansing, and Quality | 10% | - Apply data cleansing and validation rules - Enforce data quality standards - Implement schema evolution and management |
| Topic 4: Data Governance | 7% | - Manage data assets and metadata - Use Unity Catalog for governance - Enforce data policies and standards |
| Topic 5: Debugging and Deploying | 10% | - Troubleshoot and debug pipelines - Deploy using Asset Bundles, CLI, and APIs - Implement CI/CD and DevOps practices |
| Topic 6: Monitoring and Alerting | 10% | - Set up alerts and notifications - Monitor pipeline performance and health - Track data lineage and metrics |
| Topic 7: Cost & Performance Optimisation | 13% | - Apply cost management best practices - Improve query and pipeline performance - Optimize compute and storage resources |
| Topic 8: Developing Code for Data Processing using Python and SQL | 22% | - Implement complex data processing logic - Use Databricks-specific libraries and APIs - Write efficient and maintainable code |
| Topic 9: Ensuring Data Security and Compliance | 10% | - Secure data at rest and in transit - Implement access control and permissions - Ensure data privacy and compliance |
| Topic 10: Data Sharing and Federation | 5% | - Use Delta Sharing for secure data sharing - Manage cross-platform data access - Implement Lakehouse Federation |
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?
Correct Answer: D 🗳️
Explanation: Only visible for PracticeMaterial members. You can sign-up / login (it's free).
A platform engineer needs to report the resource consumption, categorized by SKU tier, across all workspaces. The engineer decides to use the system.billing.usage system table to create a query. Which SQL query will accurately return the daily usage by product?




Correct Answer: A 🗳️
Explanation: Only visible for PracticeMaterial members. You can sign-up / login (it's free).
A platform engineer is creating catalogs and schemas for the development team to use.
The engineer has created an initial catalog, catalog_A, and initial schema, schema_A. The engineer has also granted USE CATALOG, USE SCHEMA, and CREATE TABLE to the development team so that the engineer can begin populating the schema with new tables.
Despite being owner of the catalog and schema, the engineer noticed that they do not have access to the underlying tables in Schema_A.
What explains the engineer's lack of access to the underlying tables?
Correct Answer: A 🗳️
Explanation: Only visible for PracticeMaterial members. You can sign-up / login (it's free).
Which REST API call can be used to review the notebooks configured to run as tasks in a multi- task job?
Correct Answer: E 🗳️
Explanation: Only visible for PracticeMaterial members. You can sign-up / login (it's free).
A large company seeks to implement a near real-time solution involving hundreds of pipelines with parallel updates of many tables with extremely high volume and high velocity data.
Which of the following solutions would you implement to achieve this requirement?
Correct Answer: C 🗳️
Explanation: Only visible for PracticeMaterial members. You can sign-up / login (it's free).
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