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Online PySpark Test - Pre-Employment Skill Assessment
What is the test about?
This PySpark test evaluates candidates' proficiency in PySpark applications, focusing on their understanding and practical use of the PySpark API and big data processing.
Covered skills
Test creator
Tim Funke
Software Engineer at Telekom
With an 8-year tenure at Deutsche Telekom, Tim Funke has not only demonstrated mastery as a Software Engineer but also excelled as a DevOps Engineer and Data Engineer. Having incorporated technologies such as Python, Docker, and GitLab, Tim's expertise lies in object-oriented programming (OOP), quality control, and continuous integration and delivery (CI/CD). His resume also includes proficiency in varied programming languages like VBA and Go, further showcasing the breadth of his technical capabilities.
Who should take this test?
Back-End Developer, Big Data Engineer, Hadoop Developer, Spark Administrator, Spark Developer, Spark Tester
Description
PySpark is a Python library for Apache Spark, an open-source data analytics cluster computing framework. It provides an interface for programming Spark with Python, and is particularly useful in big data processing tasks where Python's performance speed isn't enough.
This PySpark test is designed to assess candidates' abilities in the use of PySpark, optimizing its functionality for data processing and analysis tasks. The test evaluates their skills in PySpark RDD operations, DataFrames, Spark SQL, and MLlib library. In addition, it checks their understanding of optimization techniques in big data processing such as partitioning and caching.
Candidates who excel in this test demonstrate a strong understanding of PySpark's functionalities and the ability to leverage them for efficient large-scale data processing and analysis. These skills are crucial for data scientists, data engineers, and any role dealing with significant amounts of data.
This PySpark test is designed to assess candidates' abilities in the use of PySpark, optimizing its functionality for data processing and analysis tasks. The test evaluates their skills in PySpark RDD operations, DataFrames, Spark SQL, and MLlib library. In addition, it checks their understanding of optimization techniques in big data processing such as partitioning and caching.
Candidates who excel in this test demonstrate a strong understanding of PySpark's functionalities and the ability to leverage them for efficient large-scale data processing and analysis. These skills are crucial for data scientists, data engineers, and any role dealing with significant amounts of data.
Overview
Test creator
Tim Funke
Software Engineer at Telekom
With an 8-year tenure at Deutsche Telekom, Tim Funke has not only demonstrated mastery as a Software Engineer but also excelled as a DevOps Engineer and Data Engineer. Having incorporated technologies such as Python, Docker, and GitLab, Tim's expertise lies in object-oriented programming (OOP), quality control, and continuous integration and delivery (CI/CD). His resume also includes proficiency in varied programming languages like VBA and Go, further showcasing the breadth of his technical capabilities.