If you are looking for a certification-oriented, hands-on and comprehensive course to prepare for the Databricks Certified Associate Developer for Apache Spark certification, you have come to the right place.This course is designed to prepare you to learn everything related to the Databricks Certified Associate Developer for Apache Spark certification.In today’s data-driven world, Apache Spark has become the standard big-data cluster processing framework. And Databricks have become the reference tool for Big Data. For this reason, Databricks is one of the most valuable skills today. Having the Databricks Certified Associate Developer for Apache Spark certification will allow you to position yourself in the Big Data job market. Get certified and advance your Big Data career.With theoretical training, downloadable study guides, hands-on exercises, and mock exams, this is the only course you'll need to learn Apache Spark in Databricks and get certified. The exam consists of 60 multiple-choice questions. Candidates will have 120 minutes to complete the exam.Topics covered in the course:Certification preparation. This course teaches you how to prepare for the Databricks exam. Including tips, proved preparation methodology, hands-on lectures in every section and tips and strategies using Mock Test.Spark Architecture — Conceptual· Cluster architecture: nodes, drivers, workers, executors, slots, etc.· Spark execution hierarchy: applications, jobs, stages, tasks, etc.· Shuffling· Partitioning· Lazy evaluation· Transformations vs Actions· Narrow vs Wide transformationsSpark Architecture — Applied· Execution deployment modes· Stability· Storage levels
What you'll learn
understand Spark architecture and execution hierarchy
gain experience with hands-on exercises related to Databricks
become familiar with mock testing strategies for certification preparation
Course objectives
prepare for the Databricks certification exam
learn about Spark's processing framework
understand deployment modes and data manipulation techniques