Practice Test - Databricks Certified Data Engineer Associate
About this course
The Databricks Certified Data Engineer Associate certification is designed to validate an individual's fundamental knowledge and skills in data engineering on the Databricks Lakehouse Platform.1 It's a popular certification for those looking to demonstrate their proficiency in modern data engineering practices using Databricks.Exam OverviewPurpose: Validates the ability to use the Databricks Lakehouse Platform for basic data engineering tasks, including building ETL pipelines with Apache Spark SQL and Python, managing production pipelines, processing data incrementally, and understanding data governance.Target Audience: Aspiring data engineers, data analysts, or ML data scientists who want to demonstrate foundational understanding of Databricks and the Lakehouse architecture.Format: Online proctored, multiple-choice, and multiple-response questions.Number of Questions: 45 questions (there might be a few unscored experimental questions as well). Time Limit: 90 minutes.Passing Score: 70% (32 out of 45 questions correct).Cost: USD $200 (plus applicable taxes). Databricks partners might get a discount.Languages: English, Japanese, Portuguese (Brazil), and Korean.Validity: The certification is valid for 2 years. Recertification requires retaking the current version of the exam.Results: Pass/Fail result is typically given immediately after the exam. A digital badge is usually issued within 24 hours for successful candidates.Retake Policy: If you fail, you must wait 14 days before you can retake the exam, and each attempt costs the full fee.Key Exam Content Areas (as of recent updates, typically effective July 25,
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What you'll learn
- build ETL pipelines with Apache Spark SQL and Python
- manage production pipelines
- process data incrementally
- understand data governance
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