For simpler, more secure exam proctoring
For quick, confident, and bias-free talent decisions
World's first AI Proctoring Agent powered by LLMs
Automated remote proctoring software
AI proctoring with human review
Proctoring with live
invigilator
Secure Online Exams with Advanced ID Match
Prevent unauthorized access, control test environment
Speed, versatile, and secured online exams
Delivering a smooth and empowering exam experience
Conflict-free, automated interview scheduling
Minimize no-shows, enhance candidate experience
Protect your reputation, say no to proxy candidates
AI video interviewing for hassle-free recruitment
Efficiently interview, review, and collaborate
Effective, AI-supported, bias-free candidate interviews
Increase collaboration in your hiring process
Evaluate Objectively with Consistent Candidate Experience
Streamline your recruitment process from start to finish
x
Evaluates candidates with profound knowledge of Big Data concepts, expertise in Hadoop, Hive, Apache Spark, and practical hands-on experience with Window functions.
A Big Data developer plays a pivotal role in addressing an organization's Big Data requirements, encompassing the entire lifecycle of Hadoop solutions. This involves aspects like platform selection, technical architecture design, requirement analysis, application development and design, testing, and deployment. The Big Data Developer assessment aids in evaluating candidates who exhibit the following qualities: 1. Profound knowledge and comprehension of Big Data concepts. 2. A well-defined grasp of Hadoop and Hive. 3. A solid understanding of Apache Spark. 4. Practical hands-on experience with Window functions.