Databricks Certified Associate Developer for Apache Spark 3

In this course, you will explore the fundamentals of Apache Spark and Delta Lake on Databricks. You will learn the architectural components of Spark, the DataFrame and Structured Streaming APIs, and how Delta Lake can improve your data pipelines. Lastly, you will execute streaming queries to process streaming data and understand the advantages of using Delta Lake.This course helps to prepare you for the Databricks Certified Associate Developer for Apache Spark exam.Course goalsBy the end of our time together, you’ll be able to:    Define Spark’s architectural components.    Describe how DataFrames are transformed, executed, and optimized in Spark.    Apply the DataFrame API to explore, preprocess, join, and ingest data in Spark    Apply the Structured Streaming API to perform analysis on streaming data    Use Delta Lake to improve the quality and performance of data pipelinesPrerequisitesBefore attempting this course, please ensure that you meet these prerequisites. If you don’t, you might have trouble following along with course content.     Familiarity with simple SQL concepts and commands such as SELECT, FILTER, GROUPBY, JOIN, etc.    Beginner-level experience with Python or Scala programming.i hope you enjoy the practice exam to be able to pass your certification and become a pro in spark developpment in python or in scala language