This Apache Spark test evaluates candidates on their proficiency in Spark Core APIs, integration with ecosystem tools, understanding of Spark architecture, cluster management, Spark MLlib, data processing, Spark GraphX, performance optimization, Spark Streaming, and Spark Structured Streaming.
This Apache Spark test is designed to assess the candidate's expertise in various aspects of Apache Spark, including Spark Core APIs, integration with ecosystem tools, and understanding of Spark architecture. It evaluates the ability to manage clusters, utilize Spark MLlib for machine learning tasks, and process data efficiently. The test also covers Spark GraphX for graph processing, performance optimization techniques, and real-time data processing with Spark Streaming and Spark Structured Streaming. This comprehensive assessment ensures that candidates have a well-rounded knowledge of Apache Spark and can effectively apply it in real-world scenarios.
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Access to Objective Way of Assessments - MCQs, Checboxes, Fill in the blanks, Subjective (Manually Scored), File Upload (Manually Scored)
Access to Practice Way of Assessments - Programming, Debugging, Database, Data Science,
Access to Real-world, work like Assessments - Projects, DevOps, Machine Learning, Subjective (AI Evaluated), Video (Technical Knowledge), Video (Communication Skill), Whiteboarding (AI Evaluated)
Assessment Design consultation services according to Curriculum, Training or Learning Paths