Databricks Certified Associate Developer for Apache Spark (Python)

Key features - Databricks Certified Associate Developer for Apache Spark (Python) Certification

• 2 Full-Length Mock Exams (120 + Unique Practice Questions)
• Unlimited Access for 2 years
• Elaborated explanations by subject matter experts
• Updated course content
• Full Coverage of all exam objectives
• Databricks Certified Associate Developer for Apache Spark (Python) course completion Certificate

What are the skills measured in the Databricks Certified Associate Developer for Apache Spark (Python) Certification exam?

After getting Databricks Certified Associate Developer for Apache Spark (Python) Certification, one can be able to possess the following skills and knowledge on the following concepts: 

• Apache Spark Architecture Concepts (17%)
• Apache Spark Architecture Applications (11%)
• Apache Spark DataFrame API Applications (72% )

What are the prerequisites for taking Databricks Certified Associate Developer for Apache Spark (Python) Certification exam ?

There are no formal prerequisites required for taking Databricks Certified Associate Developer for Apache Spark (Python) Certification exam. But it is recommended to have certain knowledge on following skills and they may include:

• The candidate must have programming knowledge of Python or Scala

• Should have basic understanding of of Spark architecture, including Adaptive Query Execution

Who should take Databricks Certified Associate Developer for Apache Spark (Python) Certification exam ?

The following are the job roles that can take up Databricks Certified Associate Developer for Apache Spark (Python) Certification training include, but are not limited to:

• Python Developers or Data Engineer who wants to get in-depth understanding of Spark Dataframe APIs can take up Databricks Certified Associate Developer for Apache Spark (Python) Certification exam
• Data Engineers who wish to learn more about using Spark on Databricks Platform can take up this certification

What you'll learn in the Databricks Certified Associate Developer for Apache Spark (Python) Certification exam ?

Candidates who take part in Databricks Spark (Python) Developer certification training, will learn about:

• Setting up Databricks Platform 
• Selecting, renaming and manipulating columns with usage of Spark Data Frame APIs
• Filtering, dropping, sorting, and aggregating rows with usage of Spark Data Frame APIs
• Joining, reading, writing and partitioning DataFrames with usage of Spark Data Frame APIs
• Working with UDFs and Spark SQL functions using Spark Data Frame APIs
• Spark Architecture and Adaptive Query Execution (AQE)