Databricks Certified Data Engineer Professional
The Databricks Certified Data Engineer Professional certification exam assesses an individual’s ability to use Databricks to perform advanced data engineering tasks. This includes an understanding of the Databricks platform and developer tools like Apache Spark™, Delta Lake, MLflow, and the Databricks CLI and REST API. It also assesses the ability to build optimized and cleaned ETL pipelines. Additionally, the ability to model data into a lakehouse using knowledge of general data modeling concepts will be assessed. Finally, being able to ensure that data pipelines are secure, reliable, monitored and tested before deployment will also be included in this exam. Individuals who pass this certification exam can be expected to complete advanced data engineering tasks using Databricks and its associated tools.
The exam covers:
- Databricks Tooling – 20%
- Data Processing – 30%
- Data Modeling – 20%
- Security and Governance – 10%
- Monitoring and Logging – 10%
- Testing and Deployment – 10%
Databricks Data Engineer Professional Exam Questions 2024
- Contains 650 Questions
- Total Mock Exams: 10
- Taken exclusively from the previous real exams.
- Last updated: 29-Jul-2024
- Free Master Cheat Sheet Included
- 24/7 Chat & Email Support
Databricks Data Engineer Professional Exam Questions 2024
- We are offering 520 latest real Databricks Data Engineer Professional Exam Questions 2024 for practice, which will help you to score higher in your exam.
- Aim for above 85% or above in our mock exams before giving the main exam.
- Do review wrong & right answers and thoroughly go through explanations provided to each question which will help you understand the question.
The Databricks Certified Data Engineer Professional certification exam assesses an individual’s ability to use Databricks to perform advanced data engineering tasks. It is a rigorous exam that covers a wide range of topics, including:
- Databricks Tooling: This section covers the core Databricks tools, including the Databricks Workspace, Databricks Notebooks, and the Databricks CLI.
- Data Processing: This section covers the use of Apache Spark and Delta Lake to process and transform data.
- Data Modeling: This section covers the principles of data modeling and how to apply them to Databricks.
- Security and Governance: This section covers how to secure Databricks environments and manage user access.
- Monitoring and Logging: This section covers how to monitor Databricks pipelines and troubleshoot problems.
- Testing and Deployment: This section covers how to test and deploy Databricks pipelines.
The exam is designed for individuals who have at least two years of experience working with Databricks and a strong understanding of data engineering concepts. It is recommended that candidates have a working knowledge of Apache Spark, Delta Lake, and SQL.
It is recommended to have below knowledge before attempting
- Databricks Fundamentals
- Apache Spark: Fundamentals
- Data Engineering with Delta Lake
- Data Modeling for Databricks
- Data Security and Governance
- Monitoring and Logging for Databricks
- Testing and Deployment for Databricks
In addition to taking the recommended courses, Databricks also offers a number of practice exams that can help candidates assess their readiness for the exam.
The Databricks Certified Data Engineer Professional certification is a valuable credential that can help individuals advance their careers in data engineering. It is a challenging exam, but with the right preparation, candidates can increase their chances of success.
Know more about the exam here : https://www.databricks.com/learn/certification/data-engineer-professional
