Databricks-Certified-Professional-Data-Engineer Exam Dumps

Databricks Certified Professional Data Engineer Databricks-Certified-Professional-Data-Engineer real exam questions and online practice test engine by FreeCram. Try Databricks-Certified-Professional-Data-Engineer exam questions for free. You can also download a free demo of the Databricks-Certified-Professional-Data-Engineer exam PDF version.

Databricks's Databricks-Certified-Professional-Data-Engineer actual exam materials brought to you by FreeCram group of Databricks certification experts.
View all Databricks-Certified-Professional-Data-Engineer actual exam questions & answers and explanations for free.

If you like our product, you can request full access to all the latest Databricks Certified Professional Data Engineer Databricks-Certified-Professional-Data-Engineer exam premium questions.

Certification Provider:	Databricks
Exam Code / Number:	Databricks-Certified-Professional-Data-Engineer
Exam Name:	Databricks Certified Professional Data Engineer Exam
Exam Questions:	217
Last Updated:	Jul 03, 2026
Corresponding Certification:	Databricks Certification

Go To Databricks-Certified-Professional-Data-Engineer Questions

(200 Up Votes)

To become a Databricks Certified Professional Data Engineer, candidates must pass a rigorous exam that covers a wide range of topics related to data engineering. Databricks-Certified-Professional-Data-Engineer exam is designed to test a candidate's ability to design, build, and maintain data pipelines using Databricks tools and technologies. It also tests their understanding of data modeling, data warehousing, and data integration.

Achieving the Databricks Certified Professional Data Engineer certification is a valuable asset for data professionals. It demonstrates that the individual has the necessary knowledge and skills to work with big data and cloud computing technologies, specifically with Databricks Unified Analytics Platform. Databricks Certified Professional Data Engineer Exam certification is recognized by leading organizations and can help individuals advance their careers in the field of data engineering. It also provides a competitive advantage over other candidates while applying for jobs in the field of big data and cloud computing.

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

Topic	Details
Topic 1	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.
Topic 2	Data Processing: The topic covers understanding partition hints, partitioning data effectively, controlling part-file sizes, updating records, leveraging Structured Streaming and Delta Lake, implementing stream-static joins and deduplication. Additionally, it delves into utilizing Change Data Capture and addressing performance issues related to small files.
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	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 5	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.

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

Databricks Certified Professional Data Engineer exam covers a wide range of topics, including data engineering concepts, Databricks architecture, data ingestion and processing, data storage and management, and data security. Databricks-Certified-Professional-Data-Engineer exam consists of 60 multiple-choice questions and participants have 90 minutes to complete it. Passing the exam requires a score of 70% or higher, and successful candidates receive a certificate that validates their expertise in building and managing data pipelines on the Databricks platform.

Databricks is a leading cloud-based data platform that enables organizations to accelerate innovation and achieve their data-driven goals. To showcase their expertise in using the Databricks platform, data professionals can earn the Databricks-Certified-Professional-Data-Engineer (Databricks Certified Professional Data Engineer) certification. Databricks Certified Professional Data Engineer Exam certification is designed to validate the skills and knowledge required to design, build, and maintain data solutions on the Databricks platform.