About Spark Test Assessment
Apache Spark is designed for fast computation and is used to cover a wide range of workloads such as iterative algorithms, interactive queries, and streaming. Spark supports multiple languages like Python, SCALA and Java API. Spark is a modified version of Hadoop and it uses Hadoop for storage and processing. This test is specially designed to check application, practical skills of a Spark developer – as per Industry Standards. Our Spark skill test is created and validated by Subject Matter Experts.
Spark test enables employers and recruiters to identify potential hires by evaluating working skills and job readiness. For this reason, the emphasis is laid upon evaluating the knowledge of applied skills gained through real work experience, rather than theoretical knowledge.
Using powerful reporting, you will have a detailed analysis of test results to help you make better decisions and predict candidate and employee success.
The Spark assessment may contain MCQ's (Multiple Choice Questions), MAQ's (Multiple Answer Questions), Fill in the Blanks, Descriptive, Whiteboard Questions, Audio / Video Questions, LogicBox (AI-based Pseudo-Coding Platform), Coding Simulations, True or False Questions, etc.