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Databricks-Certified-Data-Engineer-Associate exam is a comprehensive test of an individual's knowledge of Databricks and its related technologies, including Apache Spark, SQL, and Python. It evaluates the ability of candidates to design, build, and maintain data pipelines using Databricks. Databricks Certified Data Engineer Associate Exam (Databricks-Certified-Data-Engineer-Associate日本語版) certification is ideal for data engineers, data architects, and data scientists who want to showcase their skills and knowledge in working with Databricks.

Reference: https://www.databricks.com/learn/certification/data-engineer-associate

Databricks Databricks-Certified-Data-Engineer-Associate日本語 Exam Syllabus Topics:

SectionWeightObjectives
Apache Spark Data Processing Fundamentals20-25%- Work with structured data types (arrays, maps, structs)
- Apply transformations and actions on DataFrames
- Create and use Spark DataFrames
- Use Spark SQL for data processing
Data Pipeline Architecture15-20%- Implement incremental data processing
- Understand ELT vs ETL patterns
- Monitor and optimize pipeline performance
- Design data pipelines for batch and streaming
Python for Data Engineering10-15%- Implement user-defined functions (UDFs)
- Use PySpark for data processing
- Work with Spark APIs in Python
Spark SQL and DataFrames15-20%- Join and union DataFrames
- Write and execute Spark SQL queries
- Handle null values and data quality
- Aggregate and group data
Delta Lake Fundamentals20-25%- Explain Delta Lake features and benefits
- Understand ACID transactions and time travel
- Write to and read from Delta tables
- Create and manage Delta tables
Lakehouse Platform Concepts10-15%- Describe key Databricks Lakehouse platform components
- Understand the Lakehouse architecture and its benefits
- Explain data governance and security concepts

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