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Databricks Certified-Data-Engineer-Professional Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Governance | - Unity Catalog Permissions
|
| Topic 2: Data Transformation, Cleansing, and Quality | - Advanced Data Transformation
|
| Topic 3: Data Ingestion & Acquisition | - Design and implement data ingestion pipelines
|
| Topic 4: Debugging and Deploying | - Debugging and Troubleshooting
|
| Topic 5: Data Modelling | - Scalable Data Models
|
| Topic 6: Monitoring and Alerting | - Monitoring
|
| Topic 7: Developing Code for Data Processing using Python and SQL | - Using Python and Tools for Development
|
| Topic 8: Ensuring Data Security and Compliance | - Compliance
|
| Topic 9: Data Sharing and Federation | - Lakehouse Federation
|
| Topic 10: Cost & Performance Optimisation | - Cost Optimization
|
Databricks Certified Data Engineer Professional Sample Questions:
Question 1
A junior data engineer is migrating a workload from a relational database system to the Databricks Lakehouse. The source system uses a star schema, leveraging foreign key constrains and multi-table inserts to validate records on write.
Which consideration will impact the decisions made by the engineer while migrating this workload?
A. All Delta Lake transactions are ACID compliance against a single table, and Databricks does not enforce foreign key constraints.
B. Committing to multiple tables simultaneously requires taking out multiple table locks and can lead to a state of deadlock.
C. Databricks supports Spark SQL and JDBC; all logic can be directly migrated from the source system without refactoring.
D. Databricks only allows foreign key constraints on hashed identifiers, which avoid collisions in highly-parallel writes.
E. Foreign keys must reference a primary key field; multi-table inserts must leverage Delta Lake's upsert functionality.
Question 2
The security team is exploring whether or not the Databricks secrets module can be leveraged for connecting to an external database.
After testing the code with all Python variables being defined with strings, they upload the password to the secrets module and configure the correct permissions for the currently active user. They then modify their code to the following (leaving all other variables unchanged).
Which statement describes what will happen when the above code is executed?
A. The connection to the external table will succeed; the string "redacted" will be printed.
B. The connection to the external table will fail; the string "redacted" will be printed.
C. An interactive input box will appear in the notebook; if the right password is provided, the connection will succeed and the encoded password will be saved to DBFS.
D. An interactive input box will appear in the notebook; if the right password is provided, the connection will succeed and the password will be printed in plain text.
E. The connection to the external table will succeed; the string value of password will be printed in plain text.
Question 3
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?
A.
B.
C.
D. 
Question 4
An external object storage container has been mounted to the location /mnt/finance_eda_bucket.
The following logic was executed to create a database for the finance team:
After the database was successfully created and permissions configured, a member of the finance team runs the following code:
If all users on the finance team are members of the finance group, which statement describes how the tx_sales table will be created?
A. An managed table will be created in the storage container mounted to /mnt/finance_eda_bucket.
B. A managed table will be created in the DBFS root storage container.
C. An external table will be created in the storage container mounted to /mnt/finance eda bucket.
D. A logical table will persist the physical plan to the Hive Metastore in the Databricks control plane.
E. A logical table will persist the query plan to the Hive Metastore in the Databricks control plane.
Question 5
An upstream source writes Parquet data as hourly batches to directories named with the current date. A nightly batch job runs the following code to ingest all data from the previous day as indicated by the date variable:
Assume that the fields customer_id and order_id serve as a composite key to uniquely identify each order.
If the upstream system is known to occasionally produce duplicate entries for a single order hours apart, which statement is correct?
A. Each write to the orders table will only contain unique records; if existing records with the same key are present in the target table, these records will be overwritten.
B. Each write to the orders table will only contain unique records, but newly written records may have duplicates already present in the target table.
C. Each write to the orders table will only contain unique records; if existing records with the same key are present in the target table, the operation will tail.
D. Each write to the orders table will only contain unique records, and only those records without duplicates in the target table will be written.
E. Each write to the orders table will run deduplication over the union of new and existing records, ensuring no duplicate records are present.
Solutions:
| Question 1 Answer: A | Question 2 Answer: A | Question 3 Answer: A | Question 4 Answer: A | Question 5 Answer: B |





