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Reference: https://www.databricks.com/learn/certification/data-engineer-professional
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Databricks Databricks-Certified-Professional-Data-Engineer Korean Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Security, Governance, Monitoring, and Optimization | - Implement Unity Catalog governance and access control - Cost optimization and performance tuning - Monitor and optimize Spark workloads |
| Topic 2: Data Ingestion and Transformation | - Ingest data using Apache Spark and Databricks - Transform and clean datasets using Spark SQL and DataFrame APIs - Handle batch and streaming data pipelines |
| Topic 3: Production Pipelines and Orchestration | - Pipeline reliability and fault tolerance - Build and manage workflows using Databricks Jobs - Automate ETL pipelines and scheduling |
| Topic 4: Data Modeling and Storage | - Delta Lake table design and optimization - Schema evolution and data partitioning strategies - Design scalable data lakehouse architectures |
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