Databricks Certified Data Engineer Associate
Validates ability to use Databricks for data engineering workflows. Covers Delta Lake, Apache Spark, and data pipeline development on the Databricks platform.
Provider
Databricks
Level
Associate
Duration
1–3 months
Cost
$200
Passing Score
70%
Validity
2 years
Salary Impact
+$15,000–$25,000 avg
Prerequisites
Python or SQL proficiency
Spark fundamentals
Data engineering concepts
Exam Format
45 multiple-choice questions, 120 minutes, $200 USD
Exam Topics & Weights
Data lakes and delta lake
25%
ETL with Spark
30%
Databricks workspace and notebooks
20%
Production pipelines and governance
25%
8-Week Study Plan
Weeks 1
Focus: Databricks workspace and notebooks
Databricks documentation
Notebook best practices
Workspace setup
Weeks 2-3
Focus: Delta Lake and Lakehouse architecture
Delta Lake documentation
Lakehouse concepts
Time travel and versioning
Weeks 4-5
Focus: Apache Spark and PySpark
PySpark API reference
Distributed computing patterns
Performance tuning
Weeks 6-7
Focus: Data engineering pipelines and production
Databricks Jobs
Workflow orchestration
Quality and testing
Exam Tips & Strategies
Delta Lake ACID transactions and schema evolution are critical
Understand partitioning and bucketing for performance
Spark DataFrame API (not RDD API) is the focus
Data quality and error handling patterns are tested
Workflow orchestration and production considerations matter
Hands-on in Databricks Community Edition is essential
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