Databricks DATABRICKS Exam
Databricks Certification Practice Exam
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82%
Students found the real exam almost same
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1503
Students passed this exam after AcingExam Prep
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92.9%
Average score during Real Exams at the Testing Centre
Databricks DATABRICKS Exam Overview
Master the core exam objectives and accelerate your preparation with our comprehensive exam blueprint.
schedule
Duration
130 Minutes
quiz
Questions
~60
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Passing Score
70 / 100
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Format
Multiple choice & multiple response
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Databricks DATABRICKS Certification FAQ
The Databricks Certified Data Engineer Associate certification validates an individual's fundamental knowledge and practical skills in building, deploying, and maintaining data pipelines and ETL (Extract, Transform, Load) processes on the Databricks Lakehouse Platform. It demonstrates proficiency in using core Databricks technologies such as Apache Spark, Delta Lake, and Databricks Workflows to create robust and scalable data engineering solutions.
This exam is ideal for Data Engineers, ETL Developers, Data Analysts, or anyone working with data who wants to validate their foundational skills in data engineering on the Databricks platform. Candidates should have practical experience with SQL, Python, Apache Spark, and general data warehousing concepts, along with familiarity with the Databricks workspace and its associated tools.
Globally, the average salary for a professional holding the Databricks Certified Data Engineer Associate certification typically ranges from approximately $110,000 to $150,000 per year. This figure can vary based on factors such as geographical location, years of experience, specific industry, company size, and additional technical skills.
The Databricks Certified Data Engineer Associate certification is valid for two years from the date of issuance. To maintain an active certification status, individuals are required to retake and pass the current version of the exam before their existing certification expires. Databricks aims to ensure certified professionals remain up-to-date with the latest platform features and best practices.
Databricks regularly updates its certification exams to reflect advancements in its Lakehouse Platform and to align with evolving industry standards. While specific release dates for minor updates are generally not publicized, major curriculum revisions for the Databricks Certified Data Engineer Associate exam typically occur every 1 to 2 years. Candidates should always refer to the official Databricks certification website for the most current exam version details.
The Databricks Certified Data Engineer Associate exam curriculum covers a comprehensive range of technical topics essential for data engineering on the Databricks platform. Key areas include:
- **Databricks Lakehouse Platform Fundamentals:** Understanding its architecture, components, and advantages.
- **Apache Spark:** Core concepts, Spark architecture, and data processing using Spark SQL and PySpark.
- **Delta Lake:** Features like ACID transactions, schema enforcement, time travel, and optimizing Delta tables.
- **ETL Design and Implementation:** Building and managing data pipelines for various data sources and transformations.
- **Databricks Workflows:** Orchestrating data engineering jobs, notebooks, and Delta Live Tables.
- **Data Management:** Basic concepts of data governance, security, and access control within Databricks.
- **Performance Optimization:** Techniques for enhancing the performance of Spark workloads and Delta Lake operations.