Databricks Certified Developer for Spark: How To Pass & Training Guide

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Are you training to become a Databricks Certified Associate Developer for Apache Spark 3.0? In this video, I guide you through the certification exam and explain how to prepare yourself with https://bit.ly/SparkPracticeTests, a kit of practice exams with high-quality questions.

Whitepapers, mock tests and Udemy courses are just some of the resources on the long list of items useful for preparing for the Databricks Certified Developer for Apache Spark certification. Here on YouTube, I am helping you assess the difficulty of the exam and giving you a walkthrough and general overview.

I invite you to take notes and see this video as a 101 kit to figure out the requirements for taking the certification. In addition, this video should help you to evaluate whether the certification is worth it and if you should become a Databricks Certified Developer for professional jobs.

Recently updated in 2020 and 2021, the Databricks Spark Exam is a popular exam to take for data professionals to improve their career and hiring prospects. For roles that involve Apache Spark, job interviews often include Spark interview questions. The certification is one way to prepare for interviews, as it tests your knowledge about the Spark architecture and the DataFrame API in depth.

UPDATE for 2022: Since Databricks has revamped their Databricks Academy offering in November 2021, certificates are only valid for 2 years.

Chapters:
0:00 Introduction
0:35 What is the Databricks Spark Certification?
1:03 Advantages of Databricks' Spark Certification
2:03 General Exam Overview
2:52 Exam Topics
3:28 Exam Question Types
4:46 What to Know: Architecture Questions
6:02 What to Know: DataFrame API Questions
7:06 How to Prepare for the Exam
7:21 1. Learn the Concepts
8:05 2. Use the DataFrame API
8:52 3. Do Practice Exams
9:42 Exam Countdown: Last-Minute Preparations
11:20 Announcement: High-Quality Practice Exams

Disclaimer:
Neither this video nor the certification are endorsed by the Apache Software Foundation. The "Spark", "Apache Spark" and the Spark logo are trademarks of the Apache Software Foundation. This video is not sponsored by or affiliated with Databricks. This video is not sponsored by or affiliated with Udemy.