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

Databricks Certified Data Engineer Professional Sample Questions:

1. A data engineering team is configuring access controls in Databricks Unity Catalog. They grant the SELECT privilege on the sales catalog to the analyst_group, expecting that members of this group will automatically have SELECT access to all current and future schemas, tables, and views within the catalog. What describes the privilege inheritance behavior in Unity Catalog?

A) Privileges granted at the schema level override any catalog-level privileges and prevent access unless explicitly revoked.
B) Granting SELECT on a catalog automatically applies SELECT to all current and future schemas, tables, and views within that catalog.
C) Granting SELECT at the catalog level applies to existing schemas and tables but not to those created in the future.
D) Privileges in Unity Catalog do not cascade; SELECT must be explicitly granted on each schema and table, even if granted at the catalog level.

2. A team of data engineer are adding tables to a DLT pipeline that contain repetitive expectations for many of the same data quality checks.
One member of the team suggests reusing these data quality rules across all tables defined for this pipeline.
What approach would allow them to do this?

A) Use global Python variables to make expectations visible across DLT notebooks included in the same pipeline.
B) Maintain data quality rules in a separate Databricks notebook that each DLT notebook of file.
C) Maintain data quality rules in a Delta table outside of this pipeline's target schema, providing the schema name as a pipeline parameter.
D) Add data quality constraints to tables in this pipeline using an external job with access to pipeline configuration files.

3. A data engineer is implementing liquid clustering on a Delta Lale table and needs to understand how it affects data management operations. The table will be updated frequently with new data.
The table is an external table and not managed by Unity Catalog. How does liquid clustering in Delta Lake handle new data that is inserted after the initial table creation?

A) New data remains unclustered until the next OPTIMIZE operation.
B) New data is written to a staging area and clustered during scheduled maintenance.
C) New data is automatically clustered during write operations.
D) New data is rejected if it doesn't match the clustering pattern.

4. The Databricks CLI is use to trigger a run of an existing job by passing the job_id parameter. The response that the job run request has been submitted successfully includes a filed run_id.
Which statement describes what the number alongside this field represents?

A) The total number of jobs that have been run in the workspace.
B) The globally unique ID of the newly triggered run.
C) The job_id is returned in this field.
D) The job_id and number of times the job has been are concatenated and returned.
E) The number of times the job definition has been run in the workspace.

5. 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 an extremely long-running job for which completion must be guaranteed, which cluster configuration will be able to guarantee completion of the job in light of one or more VM failures?

A) - Total VMs: 8
- 50 GB per Executor
- 20 Cores / Executor
B) - Total VMs: 16
- 25 GB per Executor
- 10 Cores / Executor
C) - Total VMs: 4
- 100 GB per Executor
- 40 Cores / Executor
D) - Total VMs: 1
- 400 GB per Executor
- 160 Cores/Executor
E) - Total VMs: 2
- 200 GB per Executor
- 80 Cores / Executor

Solutions: