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Databricks Databricks-Certified-Data-Engineer-Professional Exam Syllabus Topics:
| Section | Objectives |
| Topic 1: Data Modeling and Transformation | - Performance optimization techniques
- Dimensional modeling concepts
- Spark SQL transformations
|
| Topic 2: Production Pipelines and Orchestration | - Databricks Workflows
- Job scheduling and monitoring
- Error handling and recovery strategies
|
| Topic 3: Data Ingestion and Processing | - Structured Streaming fundamentals
- ETL pipeline design patterns
- Batch and streaming ingestion with Auto Loader
|
| Topic 4: Delta Lake and Data Management | - Delta Lake transactions and ACID properties
- Time travel and versioning
- Schema evolution and enforcement
|
| Topic 5: Databricks Lakehouse Platform Architecture | - Data governance concepts (Unity Catalog basics)
- Workspace and cluster architecture
- Medallion architecture (Bronze, Silver, Gold)
|
Databricks Certified Data Engineer Professional Sample Questions:
Question 1
A table is registered with the following code:

Both users and orders are Delta Lake tables. Which statement describes the results of querying recent_orders?
A. The versions of each source table will be stored in the table transaction log; query results will be saved to DBFS with each query.
B. All logic will execute when the table is defined and store the result of joining tables to the DBFS; this stored data will be returned when the table is queried.
C. All logic will execute at query time and return the result of joining the valid versions of the source tables at the time the query finishes.
D. All logic will execute at query time and return the result of joining the valid versions of the source tables at the time the query began.
E. Results will be computed and cached when the table is defined; these cached results will incrementally update as new records are inserted into source tables.
Question 2
A departing platform owner currently holds ownership of multiple catalogs and controls storage credentials and external locations. A data engineer has been asked to ensure continuity: transfer catalog ownership to the platform team group, delegate ongoing privilege management, and retain the ability to receive and share data via Delta Sharing. Which role must be in place to perform these actions across the metastore?
A. Workspace Admin, because workspace admins can transfer ownership of any Unity Catalog object.
B. Catalog Owner, because catalog owners can transfer any object in any catalog in the metastore.
C. Metastore Admin, because metastore admins can transfer ownership and manage privileges across all metastore objects, including shares and recipients.
D. Account Admin, because account admins can only create metastores but cannot change ownership of catalogs.
Question 3
When scheduling Structured Streaming jobs for production, which configuration automatically recovers from query failures and keeps costs low?
A. Cluster: Existing All-Purpose Cluster;
Retries: Unlimited;
Maximum Concurrent Runs: 1
B. Cluster: Existing All-Purpose Cluster;
Retries: None;
Maximum Concurrent Runs: 1
C. Cluster: New Job Cluster;
Retries: Unlimited;
Maximum Concurrent Runs: Unlimited
D. Cluster: Existing All-Purpose Cluster;
Retries: Unlimited;
Maximum Concurrent Runs: 1
E. Cluster: New Job Cluster;
Retries: None;
Maximum Concurrent Runs: 1
Question 4
The data governance team has instituted a requirement that all tables containing Personal Identifiable Information (PH) must be clearly annotated. This includes adding column comments, table comments, and setting the custom table property "contains_pii" = true.
The following SQL DDL statement is executed to create a new table:

Which command allows manual confirmation that these three requirements have been met?
A. SHOW TABLES dev
B. DESCRIBE EXTENDED dev.pii test
C. DESCRIBE DETAIL dev.pii test
D. SHOW TBLPROPERTIES dev.pii test
E. DESCRIBE HISTORY dev.pii test
Question 5
A view is registered with the following code:

Both users and orders are Delta Lake tables.
Which statement describes the results of querying recent_orders?
A. Results will be computed and cached when the view is defined; these cached results will incrementally update as new records are inserted into source tables.
B. All logic will execute when the view is defined and store the result of joining tables to the DBFS; this stored data will be returned when the view is queried.
C. All logic will execute at query time and return the result of joining the valid versions of the source tables at the time the query finishes.
D. All logic will execute at query time and return the result of joining the valid versions of the source tables at the time the query began.
Solutions:
Question 1 Answer: B | Question 2 Answer: C | Question 3 Answer: D | Question 4 Answer: B | Question 5 Answer: D |