Databricks Certified Data Engineer Associate Preparation

Databricks Certified Data Engineer Associate Preparation free download

Databricks Certified Data Engineer Associate Practice Preparation 2025

The Databricks Certified Data Engineer Associate exam assesses a candidate's ability to utilize the Databricks Lakehouse Platform for data engineering tasks. It requires understanding of the platform and its tools, including Delta Lake, and the ability to build ETL pipelines using Spark SQL and Python. The exam is proctored, multiple-choice, and has a 90-minute time limit.

Key Details:

• Proctored: The exam is administered online with a proctor, ensuring exam integrity.

• Multiple Choice: Questions are presented in a multiple-choice format.

• Time Limit: Candidates have 90 minutes to complete the exam.

• No Test Aides: No external resources or tools are permitted during the exam.

• Prerequisites: There are no strict prerequisites, but prior experience with SQL, cloud data engineering practices, and basic Python is highly recommended.

• Recommended Experience: 6+ months of hands-on experience with data engineering tasks outlined in the exam guide is recommended.

• Validity: The certification is valid for 2 years.

• Recertification: Recertification is required every two years to maintain certified status.

Exam Topics:

The exam covers the following key areas:

• Databricks Lakehouse Platform: Understanding the architecture, features, and benefits of the Databricks Lakehouse Platform.

• ELT with Spark SQL and Python: Building ETL pipelines using Spark SQL and Python, including relational entities, data manipulation, and optimization techniques.

• Incremental Data Processing: Understanding and implementing incremental data processing techniques.

• Production Pipelines: Building and deploying data engineering pipelines in a production environment.

• Data Governance: Understanding and applying data governance principles.

Preparation:

• Review the Exam Guide: Familiarize yourself with the specific topics covered in the exam guide.

• Hands-on Experience: Gain practical experience working with the Databricks Lakehouse Platform, Spark SQL, and Python.

• Practice Exams: Utilize practice exams to assess your knowledge and identify areas for improvement.

• Databricks Academy: Consider taking the free introductory course on the Databricks Lakehouse Platform in the Databricks Academy.

• SQL and Python Basics: Ensure you have a strong foundation in SQL and basic Python concepts.

Registration and Cost:

• Registration Fee: The exam fee is $200.

• Registration: Registration is done through the Databricks website.