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The Exploratory Data Analysis Test evaluates candidates’ ability to clean, analyze, visualize, and interpret datasets effectively. The assessment measures proficiency in statistical techniques, data visualization tools, trend identification, and deriving actionable business insights from structured and unstructured data.
This comprehensive Spark Test evaluates candidates’ proficiency in Apache Spark fundamentals, RDDs, DataFrames, Spark SQL, distributed computing concepts, and performance tuning.
This comprehensive Data Wrangling Test evaluates candidates’ proficiency in cleaning, transforming, organizing, and validating structured and unstructured datasets.
This comprehensive MapReduce Test evaluates candidates’ knowledge of distributed data processing, Hadoop architecture, MapReduce programming, data partitioning, and performance optimization.
This comprehensive ETL Test evaluates candidates’ ability to design, implement, and optimize Extract, Transform, Load processes.