Data Processing Big Data Processing

Question 1

What are the three Vs traditionally used to define big data?

Accepted Answer

Volume, Velocity, Variety

Answer

Value, Validity, Visibility

Answer

Virtual, Vertical, Variable

Answer

Volume, Verification, Visualization

Question 2

What is Apache Hadoop primarily used for?

Accepted Answer

Distributed storage and processing of large datasets across clusters of computers

Answer

Building real-time web applications

Answer

Managing relational database transactions

Answer

Creating data visualization dashboards

Question 3

What does HDFS stand for?

Accepted Answer

Hadoop Distributed File System

Answer

High Definition File Storage

Answer

Hierarchical Data Format System

Answer

Hybrid Data Flow Service

Question 4

What is MapReduce in big data processing?

Accepted Answer

A programming model that processes large datasets in parallel using map and reduce functions

Answer

A tool for creating geographic data visualizations

Answer

A compression algorithm for large files

Answer

A type of NoSQL database schema

Question 5

What is Apache Spark used for in big data?

Accepted Answer

Fast, in-memory distributed data processing for batch and streaming workloads

Answer

Managing relational database schemas

Answer

Scraping web pages for SEO analysis

Answer

Monitoring network traffic in real time

Question 6

What is a data lake?

Accepted Answer

A central repository that stores raw data in its native format until needed

Answer

A cloud service for streaming video

Answer

A type of normalized relational database

Answer

A backup system for transactional databases