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Reference: https://www.databricks.com/learn/certification/data-engineer-associate
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Databricks Databricks-Certified-Data-Engineer-Associate日本語 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Ingestion and ELT Development | - ETL patterns and transformations - Data ingestion using Spark SQL and PySpark - Handling structured and semi-structured data |
| Topic 2: Data Governance and Quality | - Data quality concepts and management - Data access control and governance - Unity Catalog basics |
| Topic 3: Productionizing Data Pipelines | - Databricks Workflows / Jobs orchestration - Scheduling and monitoring jobs - Pipeline deployment and operationalization |
| Topic 4: Data Processing and Transformations | - User-defined functions (UDFs) - Delta Lake fundamentals (tables, transactions, optimization) - PySpark DataFrame transformations - Apache Spark SQL operations (joins, aggregations, filtering) |
| Topic 5: Databricks Lakehouse Platform Fundamentals | - Workspace, architecture, and core platform concepts - Clusters, notebooks, and basic Databricks environment usage |








