Share Description
This course is all about gaining a thorough understanding of the practice questions and trips and tricks related to the Databricks Certified Developers practice exam. This course talks about ways to develop confidence while solving high-performance questions in the practice exam. This course offers both theoretical and practical knowledge and high-quality questions and covers all necessary topics like Python and Spark 3.0’s specifics.
Topics Covered:
- Spark Architecture Conceptual Understanding: Come across the concept of execution hierarchy, execution modes and deployment modes and learn about cluster configurations.
- Spark Architecture Applied Understanding: Come across questions related to memory management, configurations, evaluations, shuffles, broadcasting process, accumulators and more.
- Spark DataFrame API Applications: Appear for questions related to renaming columns, aggregating rows, filtering DataFrames, Spark configurations, caching and more.
Who Will Benefit?
- Data Engineers: Individuals who want to prepare for the Databricks Certified Developer for Spark 3.0 Practice Exam and appear for it confidently.
- Spark Developers: Individuals who want to test their knowledge of Spark 3.0 by appearing for this practice exam.
- Students In The Field Of Data Engineering: All those who want to enter the field of data engineering and want to test their knowledge by taking up this practice test.
Why Choose This Course?
As you choose this course, you will be able to appear for the Databricks Certified Developers Practice Exam confidently and gain both practical and theoretical knowledge about concepts related to Spark 3.0 and Python. This course benefits you by helping you gain confidence while solving a few high-performance questions in the practice exam. By the end, you will know the actual distribution of topics and tone in the real exam and ace it.
