Databricks Certified Data Engineer Professional Exam Questions

Databricks Certified Data Engineer Professional Exam Objectives

1. 1

   1.0 Databricks Tooling (20%)

   • 1.1This section describes how Delta Lake ensures data changes are all-or-nothing and permanent using logs and cloud storage; explains how Delta Lake allows multiple users to work at once and which actions might clash; outline the basic uses of the Delta clone, and use common ways to make Delta Lake faster, including partitioning, zorder, bloom filters, and file sizes.
2. 2

   2.0 Data Processing (30% )

   • 2.1This section is about leveraging Spark Core, Spark SQL, Delta Lake, and structured streaming for efficient and scalable data processing and transformation.
3. 3

   3.0 Data Modeling (20%)

   • 3.1Understand the art of data modeling with Delta Lake, including schema design, data partitioning, and optimization techniques for query performance.
4. 4

   4.0 Security and Governance (10%)

   • 4.1This section covers data security and compliance with authentication, authorization, access controls, and governance practices in Databricks.
5. 5

   5.0 Monitoring and Logging (10%)

   • 5.1This section deals with skills to monitor and optimize Databricks workloads using metrics, logs, and performance tuning techniques.
6. 6

   6.0 Testing and Deployment (10%)

   • 6.1This section covers how to implement best practices for testing and deploying Spark applications, including CI/CD pipelines and version control.