Guided Program for Databricks Certified Associate Developer for Apache Spark 3.0
12 - 24 weeks
Preparation Toolkit for Databricks Certified Associate Developer for Apache Spark
Engaging and Effective Training
Lab Environment (Simulated and Databricks)
Offline Support via Discuss
Live Support via Expert Live Sessions
Quizzes and Practice Scenarios
Tips and Strategies
About this course
It is going to be a long journey, but passing the Databricks Certified Associate Developer for Apache Spark exam will be worth it!
This self paced Databricks Associate Developer Certification course provides the roadmap to become a Databricks Certified Associate Developer for Apache Spark, guides you to prepare for the certification exam and to prepare for real world. It is designed at fast-paced and precise to the point to covers environment setup and in-depth topics of the exam. It's packed with practical knowledge on how to use Data Frame APIs inside and out as a Data Engineer using Databricks Platform. It's a logical progression of topics, not a laundry list of random services.
What you’ll learn in this Course
Setup of Databricks Environment using Azure
The Databricks CLI and important commands to interact with DBFS. It will be used to quickly set up the data for practice.
In-Depth Data Frame APIs that are relevant for the exam
All Important and Commonly used Data Frame APIs for selecting, renaming, and manipulating columns
Data Frame APIs for filtering, dropping, sorting, and aggregating rows
Data Frame APIs for joining, reading, writing, and partitioning DataFrames
Working with UDFs and Spark SQL Functions
Apache Spark Architectural Concepts which are very important for the exam
Adaptive Query Execution which been introduced in recent times
Tips and Key Strategies to ROCK the exam