Associate Pyspark developer

EXAM DESCRIPTION
This PySpark exam consists of 30 multiple-choice questions, and candidates are allotted 50 minutes to complete it. A minimum score of 60% is required to pass. Notably, test takers can attempt the exam unlimited times without incurring additional fees (Unlimited attempts).

CERTIFICATION
As the global big data analytics market continues to expand, it creates a wealth of opportunities for IT professionals. This certification is ideal for a wide range of individuals, including recent graduates looking to start a career in big data, as well as developers, architects, BI/ETL/DW professionals, mainframe experts, and data scientists or analysts seeking to enhance their skill set with PySpark.

EXAM OBJECTIVES
This exam assesses your knowledge and practical understanding of the following key concepts:

• Reading and writing data files
• Adding, removing, and renaming columns
• Applying transformation and action methods
• PySpark execution processes
• Selecting and manipulating columns
• Working with date and time data
• Data type casting and conversions
• Understanding lazy execution principles
• Resilient Distributed Datasets (RDDs)
• Spark SQL fundamentals and its architecture

By mastering these topics, you will demonstrate your readiness to excel in real-world big data projects and validate your PySpark expertise.