When does class start/end?
Classes begin promptly at 9:00 am, and typically end at 5:00 pm.
The Databricks Certified Associate Developer for Apache Spark 2.4 certification exam assesses the understanding of the Spark DataFrame API and the ability to apply the Spark DataFrame API to complete basic data manipulation tasks within a Spark session. These tasks include selecting, renaming and manipulating columns; filtering, dropping, sorting, and aggregating rows; handling missing data; combining, reading, writing and partitioning DataFrames with schemas; and working with UDFs and Spark SQL functions. In addition, the exam will assess the basics of the Spark architecture like execution/deployment modes, the execution hierarchy, fault tolerance, and garbage collection.
Prerequisites
The minimally qualified candidate should:
- have a basic understanding of the Spark architecture
- be able to apply the Spark DataFrame API to complete individual data manipulation task, including:
- selecting, renaming and manipulating columns
- filtering, dropping, sorting, and aggregating rows
- joining, reading, writing and partitioning DataFrames
- working with UDFs and Spark SQL functions
