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Databricks Databricks-Certified-Data-Engineer-Professional Exam Syllabus Topics:

Databricks Certified Data Engineer Professional Sample Questions:

1. Each configuration below is identical to the extent that each cluster has 400 GB total of RAM, 160 total cores and only one Executor per VM.
Given a job with at least one wide transformation, which of the following cluster configurations will result in maximum performance?

A) Total VMs: 8
50 GB per Executor
20 Cores / Executor
B) Total VMs: 2
200 GB per Executor
80 Cores / Executor
C) Total VMs: 4
100 GB per Executor
40 Cores/Executor
D) Total VMs: 1
400 GB per Executor
160 Cores / Executor

2. A data engineer is using Lakeflow Declarative Pipeline to propagate row deletions from a source bronze table (user_bronze) to a target silver table (user_silver). The engineer wants deletions in user_bronze to automatically delete corresponding rows in user_silver during pipeline execution.
Which configuration ensures deletions in the bronze table are propagated to the silver table?

A) Use apply_changes without CDF and filter rows where _soft_deleted is true.
B) Enable CDF on user_silver, read its transaction log, and use MERGE to sync deletions.
C) Enable Change Data Feed (CDF) on user_bronze, read its CDF stream, and use apply_changes() with apply_as_deletes=True for user_silver.
D) Configure VACUUM on user_bronze to delete files, then rebuild user_silver from scratch.

3. A company wants to implement Lakehouse Federation across multiple data sources but is concerned about data consistency and ensuring that all teams access the same authoritative version of their data. Which statement is applicable for Lakehouse Federations to maintain data consistency?

A) A separate data synchronization service must be deployed.
B) Federation implements change data capture (CDC) from all sources.
C) Federation creates local copies that must be manually refreshed.
D) Federation provides read-only access that reflects the current state of source systems.

4. A data engineer wants to enforce the principle of least privilege when configuring ACLs for Databricks jobs in a collaborative workspace. Which approach should the data engineer use?

A) Use only folder-level permissions and avoid setting permissions on individual jobs.
B) Grant all users CAN MANAGE permission on all jobs to avoid access issues.
C) Assign users only the minimum permission level (e.g., CAN RUN or CAN VIEW) required for their role on each job.
D) Grant CAN RUN permission to everyone and CAN MANAGE to a single admin group.

5. A junior data engineer has manually configured a series of jobs using the Databricks Jobs UI.
Upon reviewing their work, the engineer realizes that they are listed as the "Owner" for each job.
They attempt to transfer "Owner" privileges to the "DevOps" group, but cannot successfully accomplish this task.
Which statement explains what is preventing this privilege transfer?

A) The creator of a Databricks job will always have "Owner" privileges; this configuration cannot be changed.
B) Other than the default "admins" group, only individual users can be granted privileges on jobs.
C) Only workspace administrators can grant "Owner" privileges to a group.
D) Databricks jobs must have exactly one owner; "Owner" privileges cannot be assigned to a group.
E) A user can only transfer job ownership to a group if they are also a member of that group.

Solutions: