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The Databricks Databricks-Certified-Data-Engineer-Associate exam consists of 60 multiple-choice questions and has a duration of 120 minutes. The topics covered in the exam include Databricks architecture, data ingestion, data processing, data transformation, data modeling, and data warehousing. Databricks-Certified-Data-Engineer-Associate exam is intended for data engineers, data architects, data analysts, and data scientists who have experience in working with Databricks for data engineering tasks. By obtaining this certification, candidates can demonstrate their expertise in Databricks and enhance their career prospects in the field of data engineering.
Reference: https://www.databricks.com/learn/certification/data-engineer-associate
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Databricks Databricks-Certified-Data-Engineer-Associate Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Delta Lake Fundamentals | 20-25% | - Explain Delta Lake features and benefits - Create and manage Delta tables - Write to and read from Delta tables - Understand ACID transactions and time travel |
| Topic 2: Data Pipeline Architecture | 15-20% | - Design data pipelines for batch and streaming - Understand ELT vs ETL patterns - Monitor and optimize pipeline performance - Implement incremental data processing |
| Topic 3: Apache Spark Data Processing Fundamentals | 20-25% | - Apply transformations and actions on DataFrames - Use Spark SQL for data processing - Create and use Spark DataFrames - Work with structured data types (arrays, maps, structs) |
| Topic 4: Lakehouse Platform Concepts | 10-15% | - Explain data governance and security concepts - Understand the Lakehouse architecture and its benefits - Describe key Databricks Lakehouse platform components |
| Topic 5: Spark SQL and DataFrames | 15-20% | - Aggregate and group data - Join and union DataFrames - Handle null values and data quality - Write and execute Spark SQL queries |
| Topic 6: Python for Data Engineering | 10-15% | - Work with Spark APIs in Python - Use PySpark for data processing - Implement user-defined functions (UDFs) |








