Purpose

This assessment is designed for early professionals with 2–4 years of experience in the IT, Software & ITeS industry. It evaluates candidates' knowledge and skills in Big Data Analytics using Hadoop, aiming to identify those who can effectively manage and analyze large datasets.

Overview

The test is structured to assess the candidate's proficiency in various Hadoop ecosystem components, such as MapReduce, HDFS, and tools for stream and real-time processing. It is suitable for early professionals with 2–4 years of experience in IT and software roles. The assessment evaluates core skills like data processing, resource management, and fault tolerance, which are essential for roles like Big Data Analyst and Hadoop Developer. Candidates will demonstrate their ability to use Hadoop tools for data ingestion, querying, and workflow scheduling, ensuring they can handle large-scale data analytics tasks efficiently.

• Industry: IT, Software & ITeS
• Level: Early Professional
• Tag: Big Data Analytics using Hadoop
• Total Questions: 25

Skills

• Hadoop ecosystem knowledge
• Data processing
• Stream processing
• Data ingestion
• Resource management
• SQL querying
• Fault tolerance
• Workflow scheduling

Ideal Roles

• Big Data Analyst
• Hadoop Developer
• Data Engineer
• ETL Developer