Certification Prep Course for the Databricks Certified Associate Developer for Apache Spark Exam

Summary

Prepare to take the Databricks Certified Associate Developer for Apache Spark Exam.

Description

This course will cover the format and structure of the exam, skills needed for the exam, tips for exam preparation, and the parts of the DataFrame API and Spark architecture covered in the exam.

Learning objectives

  • Summarize the learning context behind the Databricks Certified Associate Developer for Apache Spark exam.

  • Describe the topics covered in the Databricks Certified Associate Developer for Apache Spark exam.

  • Describe the format and structure of the Databricks Certified Associate Developer for Apache Spark exam.

  • Apply practical test-taking strategies to answer example questions similar to those of the Databricks Certified Associate Developer for Apache Spark exam.

  • Identify resources that can be used to learn the material covered in the Databricks Certified Associate Developer for Apache Spark exam.

Prerequisites

  • Describe the basics of the Apache Spark architecture.

  • Perform basic data transformations using the Apache Spark DataFrame API using Python or Scala.

  • Perform basic data input and output using the Apache Spark DataFrame API using Python or Scala.

  • Perform custom data actions using user-defined functions using Python or Scala.

  • Perform data transformations using Spark SQL.

  • Note: While the above skills are not necessary for this course, the course will be far more helpful in preparing students if they have these skills.

Learning path

  • This course is part of the Data Engineer and Data Scientist learning paths.

Proof of completion

  • Upon 80% completion of this course, you will receive a proof of completion.