PySpark Assessment
Online assessment to evaluate proficient-level distributed data processing and PySpark skills
This intermediate-level assessment helps hiring managers and data engineering teams evaluate a candidate’s ability to process and analyze large-scale datasets using PySpark. It focuses on topics such as RDD and DataFrame operations, lazy evaluation, transformations and actions, partitioning, and performance optimization. The assessment also measures knowledge of PySpark’s integration with SQL, caching, and cluster-based processing. Ideal for data engineers, big data analysts, and ETL developers, this assessment ensures candidates can efficiently manage and manipulate distributed data. It provides instant, automated scoring and comprehensive reports to help organizations make fast, skill-based hiring decisions.
