Requirements

• Knowledge of Apache Spark (architecture
• execution model
• core concepts such as RDDs
• DataFrames
• and Spark SQL)
• Experience with Databricks Platform (Databricks Workflows
• Jobs
• and cluster management)
• Understanding of Delta Lake (ACID transactions
• time travel
• schema enforcement
• data versioning)
• Proficiency in Data Processing (batch and streaming data processing techniques
• ETL pipelines using PySpark)
• Basic SQL Knowledge
• Experience with Data Modeling
• Familiarity with Cloud Platforms
• Knowledge of Performance Tuning
• Python or Scala Programming Skills
• Experience with Big Data Tools and Technologies

Description

This course is designed to thoroughly prepare candidates for the Databricks Certified Data Engineer Professional certification. This course offers six meticulously crafted mock exams, each featuring questions that mirror the complexity and scope of the actual certification exam. The mock exams are tailored to cover the critical areas of the Data Engineer Professional exam, including topics like data processing, data modeling, Delta Lake architecture, batch and stream processing, optimization techniques, Delta Lake table management, and various aspects of job orchestration and cluster management in Databricks.

Each question is accompanied by detailed explanations, helping learners understand not only the correct answers but also the underlying concepts and reasoning. These explanations serve as a valuable resource for reinforcing knowledge and clarifying key concepts. By completing this course, learners will be able to assess their readiness for the exam and identify areas that require further focus.

The course is designed for aspiring data engineers, data architects, and professionals aiming to sharpen their Databricks skills, with a focus on real-world application and problem-solving. Whether you are preparing for certification or simply want to expand your expertise in Databricks, this course provides a comprehensive and practical learning experience.

Can I retake the practice tests?

Yes, you can attempt each practice test as many times as you like. After completing a test, you'll see your final score. Each time you retake the test, the questions and answer choices will be shuffled for a fresh experience.

Is there a time limit for the practice tests?

Yes, each test includes a time limit of 120 seconds per question.

What score do I need to pass?

You need to score at least 70% on each practice test to pass.

Are explanations provided for the questions?

Yes, every question comes with a detailed explanation.

Can I review my answers after the test?

Absolutely. You’ll be able to review all your submitted answers and see which ones were correct or incorrect.

Are the questions updated frequently?

Yes, the questions are regularly updated to provide the best and most relevant learning experience.

Additional Note: It’s highly recommended that you take the practice exams multiple times until you're consistently scoring 90% or higher. Don’t hesitate—start your preparation today. Good luck!

Who this course is for:

• Aspiring data engineers preparing for the Databricks Certified Data Engineer Professional certification.
• Data architects seeking to enhance their knowledge of Databricks and Delta Lake.
• Professionals working with big data and cloud platforms looking to solidify their expertise in data engineering.
• IT professionals transitioning into data engineering roles and needing hands-on exam preparation.
• Data analysts aiming to deepen their understanding of data processing
• modeling
• and optimization using Databricks.
• Experienced data engineers wanting to assess and expand their skills with real-world Databricks scenarios.
• Developers and technical consultants working on ETL workflows
• data pipelines
• and streaming applications in Databricks.
• Learners seeking a structured approach to mastering Databricks exam topics
• including Delta Lake
• batch processing
• and Spark optimization.