Databricks Databricks-Certified-Data-Engineer-Associate Exam Overview:
| Certification Vendor: | Databricks |
| Exam Name: | Databricks Certified Data Engineer Associate Exam |
| Exam Number: | Databricks-Certified-Data-Engineer-Associate |
| Passing Score: | 70% |
| Exam Format: | Multiple Choice, Multiple Select |
| Related Certifications: | Databricks Certified Data Analyst Associate |
| Real Exam Qty: | 60 |
| Available Languages: | English |
| Certificate Validity Period: | 2 years |
| Exam Duration: | 90 minutes |
| Exam Price: | $200 USD |
| Sample Questions: | Databricks Databricks-Certified-Data-Engineer-Associate Sample Questions |
| Exam Way: | Online proctored or in-person testing center |
| Pre Condition: | Recommended: 6+ months of experience with Databricks and Apache Spark |
| Official Syllabus URL: | https://www.databricks.com/learn/certification/data-engineer-associate |
Databricks Certified Data Engineer Associate Exam is a comprehensive exam that covers a wide range of topics related to data engineering using Databricks. Databricks-Certified-Data-Engineer-Associate exam consists of multiple-choice questions that test an individual's understanding of Databricks fundamentals, data ingestion, data transformation, data analysis, and performance optimization. Databricks-Certified-Data-Engineer-Associate exam is designed to be challenging and requires a deep understanding of Databricks and data engineering concepts.
Reference: https://www.databricks.com/learn/certification/data-engineer-associate
The GAQM Databricks-Certified-Data-Engineer-Associate (Databricks Certified Data Engineer Associate) Certification Exam is designed for data engineers who want to demonstrate their expertise in building and managing data pipelines using Databricks. Databricks is a cloud-based platform that allows data engineers to easily build and manage data pipelines using Apache Spark. Databricks Certified Data Engineer Associate Exam certification exam covers a wide range of topics related to data engineering, including data pipeline architecture, data modeling, data ingestion, data processing, and data storage.
The GAQM Databricks-Certified-Data-Engineer-Associate (Databricks Certified Data Engineer Associate) Certification Exam is designed for individuals who are interested in pursuing a career in data engineering. Databricks Certified Data Engineer Associate Exam certification exam is developed in collaboration with Databricks, a leading data and AI company that provides a unified analytics platform for data engineering, data science, and machine learning. The Databricks-Certified-Data-Engineer-Associate exam tests candidates on their knowledge of data engineering principles, practices, and tools.
Databricks Databricks-Certified-Data-Engineer-Associate Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Spark SQL and DataFrames | 15-20% | - Aggregate and group data - Write and execute Spark SQL queries - Handle null values and data quality - Join and union DataFrames |
| Lakehouse Platform Concepts | 10-15% | - Describe key Databricks Lakehouse platform components - Explain data governance and security concepts - Understand the Lakehouse architecture and its benefits |
| Python for Data Engineering | 10-15% | - Work with Spark APIs in Python - Use PySpark for data processing - Implement user-defined functions (UDFs) |
| Delta Lake Fundamentals | 20-25% | - Understand ACID transactions and time travel - Create and manage Delta tables - Explain Delta Lake features and benefits - Write to and read from Delta tables |
| Apache Spark Data Processing Fundamentals | 20-25% | - Apply transformations and actions on DataFrames - Use Spark SQL for data processing - Work with structured data types (arrays, maps, structs) - Create and use Spark DataFrames |
| Data Pipeline Architecture | 15-20% | - Monitor and optimize pipeline performance - Understand ELT vs ETL patterns - Design data pipelines for batch and streaming - Implement incremental data processing |
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By Adonis

