Databricks-Certified-Professional-Data-Engineer Questions and Answers: Databricks Certified Professional Data Engineer Exam & Databricks-Certified-Professional-Data-Engineer Practice Test

Databricks Certified Professional Data Engineer - Databricks-Certified-Professional-Data-Engineer certification

Exam Code: Databricks-Certified-Professional-Data-Engineer

Exam Name: Databricks Certified Professional Data Engineer Exam

Updated: Oct 14, 2026

Q & A: 217 Questions and Answers

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

TopicDetails
Topic 1
  • Testing & Deployment: It discusses adapting notebook dependencies to use Python file dependencies, leveraging Wheels for imports, repairing and rerunning failed jobs, creating jobs based on common use cases, designing systems to control cost and latency SLAs, configuring the Databricks CLI, and using the REST API to clone a job, trigger a run, and export the run output.
Topic 2
  • Security & Governance: It discusses creating Dynamic views to accomplishing data masking and using dynamic views to control access to rows and columns.
Topic 3
  • Databricks Tooling: The Databricks Tooling topic encompasses the various features and functionalities of Delta Lake. This includes understanding the transaction log, Optimistic Concurrency Control, Delta clone, indexing optimizations, and strategies for partitioning data for optimal performance in the Databricks SQL service.
Topic 4
  • Monitoring & Logging: This topic includes understanding the Spark UI, inspecting event timelines and metrics, drawing conclusions from various UIs, designing systems to control cost and latency SLAs for production streaming jobs, and deploying and monitoring both streaming and batch jobs.
Topic 5
  • Data Modeling: It focuses on understanding the objectives of data transformations, using Change Data Feed, applying Delta Lake cloning, designing multiplex bronze tables. Lastly it discusses implementing incremental processing and data quality enforcement, implementing lookup tables, and implementing Slowly Changing Dimension tables, and implementing SCD Type 0, 1, and 2 tables.

Reference: https://www.databricks.com/learn/certification/data-engineer-professional

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Databricks Certified Professional Data Engineer Sample Questions:

Question #1

Incorporating unit tests into a PySpark application requires upfront attention to the design of your jobs, or a potentially significant refactoring of existing code.
Which statement describes a main benefit that offset this additional effort?

  • A. Improves the quality of your data
  • B. Validates a complete use case of your application
  • C. Ensures that all steps interact correctly to achieve the desired end result
  • D. Troubleshooting is easier since all steps are isolated and tested individually
  • E. Yields faster deployment and execution times
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Question #2

A data engineer is implementing Unity Catalog governance for a multi-team environment. Data scientists need interactive clusters for basic data exploration tasks, while automated ETL jobs require dedicated processing.
How should the data engineer configure cluster isolation policies to enforce least privilege and ensure Unity Catalog compliance?

  • A. Configure all clusters with NO ISOLATION_SHARED access mode since Unity Catalog works with any cluster configuration.
  • B. Use only DEDICATED access mode for both interactive workloads and automated jobs to maximize security isolation.
  • C. Create compute policies with STANDARD access mode for interactive workloads and DEDICATED access mode for automated jobs.
  • D. Allow all users to create any cluster type and rely on manual configuration to enable Unity Catalog access modes.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #3

The data engineer is using Spark ' s MEMORY_ONLY storage level.
Which indicators should the data engineer look for in the spark UI ' s Storage tab to signal that a cached table is not performing optimally?

  • A. Size on Disk is > 0
  • B. The number of Cached Partitions > the number of Spark Partitions
  • C. The RDD Block Name included the ' ' annotation signaling failure to cache
  • D. On Heap Memory Usage is within 75% of off Heap Memory usage
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #4

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. 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.
  • B. The versions of each source table will be stored in the table transaction log; query results will be saved to DBFS with each query.
  • C. 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.
  • 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 finishes.
  • E. 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.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Question #5

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. Granting SELECT at the catalog level applies to existing schemas and tables but not to those created in the future.
  • B. Granting SELECT on a catalog automatically applies SELECT to all current and future schemas, tables, and views within that catalog.
  • C. Privileges in Unity Catalog do not cascade; SELECT must be explicitly granted on each schema and table, even if granted at the catalog level.
  • D. Privileges granted at the schema level override any catalog-level privileges and prevent access unless explicitly revoked.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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