Databricks Certified Data Engineer Professional Exam Syllabus
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Before starting your Databricks Certified Data Engineer Professional exam preparation, it is recommended to review the complete Databricks Certified Data Engineer Professional exam syllabus and carefully go through the exam objectives listed below. Once you understand the exam structure and objectives, you should practice using our free Databricks Certified Data Engineer Professional questions. We also provide premium Databricks Certified Data Engineer Professional practice test, fully updated according to the latest exam objectives, to help you accurately assess your preparedness for the actual exam.
Databricks
Vendor
Databricks Certified Data Engineer Professional
Exam Code
215
Total Questions
6
Total Exam Domains
Databricks Certified Data Engineer Professional Exam Objectives
| Section 1: Databricks Tooling | |
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Weight: 20% |
This 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.
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| Section 2: Data Processing | |
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Weight: 30% |
This section is about leveraging Spark Core, Spark SQL, Delta Lake, and structured streaming for efficient and scalable data processing and transformation.
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| Section 3: Data Modeling | |
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Weight: 20% |
Understand the art of data modeling with Delta Lake, including schema design, data partitioning, and optimization techniques for query performance.
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| Section 4: Security and Governance | |
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Weight: 10% |
This section covers data security and compliance with authentication, authorization, access controls, and governance practices in Databricks.
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| Section 5: Monitoring and Logging | |
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Weight: 10% |
This section deals with skills to monitor and optimize Databricks workloads using metrics, logs, and performance tuning techniques.
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| Section 6: Testing and Deployment | |
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Weight: 10% |
This section covers how to implement best practices for testing and deploying Spark applications, including CI/CD pipelines and version control.
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| Info | |