WorksheetsBig Data & Hadoop Fundamentals
Total questions: 20
Worksheet time: 10mins
What do the "3 Vs" of Big Data represent?
View, Value, Velocity
Virtual, Volume, Velocity
Volume, Velocity, Variety
Volume, Visibility, Variety
What is the primary purpose of Apache Hadoop?
To edit images and videos
To increase the speed of a single computer
To store and process massive datasets in a distributed environment
To delete unnecessary data
Why is "Data Replication" used in HDFS?
To encrypt sensitive information
To provide fault tolerance (data is safe even if a node fails)
To make data processing slower
To save storage space
Which of the following is an example of "Structured Data"?
WhatsApp voice recordings
YouTube video files
Data stored in an Excel sheet or SQL table
Comments on a social media post
What does the acronym "HDFS" stand for?
High Data File System
Hadoop Distributed File System
Hadoop Digital Format System
Hyper Data Folder System
In the MapReduce framework, what is the role of the "Map" step?
To permanently delete data from the cluster
To filter and sort data into key‑value pairs
To simply display the data on a screen
To generate the final summary result
What does a "Scale‑Out" (Horizontal Scaling) approach mean?
Reducing the number of processors
Adding more low‑cost servers (nodes) to a network
Increasing the RAM of a single existing machine
Disconnecting the servers from the internet
Hadoop is an ________ software framework.
Expensive (Closed Source)
Open‑source
Windows‑only
Apple‑exclusive
Which of these belongs to the "Unstructured Data" category?
A bank transaction table
Emails and Social Media posts
Employee ID list
Phone numbers in a directory
What is the main responsibility of a "Slave Node" (DataNode) in Hadoop?
Storing actual data and executing processing tasks
Monitoring the temperature of the server room
Managing the entire cluster
Giving orders to the Master node
What is the definition of "Predictive Analytics"?
Copying data from one folder to another
Only looking at current, real‑time data
Deleting historical data to save space
Analyzing past data to predict future outcomes
In Cloud Computing, what does "PaaS" stand for? A) Payment as a Service B) Platform as a Service C) Password as a Service D) Program as a Service
Payment as a Service
Platform as a Service
Program as a Service
Password as a Service
Which of the following is a well-known "Public Cloud" provider? 1. Microsoft Azure B) WhatsApp C) VLC Media Player D) Notepad++
Notepad++
VLC Media Player
Microsoft Azure
What does the "Reduce" step do in MapReduce? A) It duplicates the data B) It aggregates the mapped data to produce a final result C) It shuts down the virtual machine D) It randomizes the data order
It randomizes the data order
It shuts down the virtual machine
It aggregates the mapped data to produce a final result
It duplicates the data
What is the main benefit of "Parallel Processing" in Big Data? A) It saves electricity B) It makes tasks faster by using multiple machines simultaneously C) It makes data processing slower D) It increases the load on a single CPU
It makes tasks faster by using multiple machines simultaneously
It makes data processing slower
It increases the load on a single CPU
It saves electricity
What does "Veracity" mean in the context of Big Data? A) The speed of data B) The accuracy and quality (trustworthiness) of data C) The physical size of the data D) The format of the data
The format of the data
The physical size of the data
The accuracy and quality (trustworthiness) of data
The speed of data
Hadoop is primarily written in which programming language? A) C++ B) Java C) PHP D) Python
PHP
C++
Python
Java
What is "Commodity Hardware"? A) Very expensive supercomputers B) Low-cost, standard, and easily available hardware C) High-end specialized gaming consoles D) Specialized medical hardware
Specialized medical hardware
High-end specialized gaming consoles
Very expensive supercomputers
Low-cost, standard, and easily available hardware
What is "Batch Processing"? A) Processing data one by one as it arrives B) Processing large volumes of data all at once C) Real-time chatting D) Temporary storage of data
Processing data one by one as it arrives
Processing large volumes of data all at once
Real-time chatting
Temporary storage of data
If one node fails in a Hadoop cluster, does the entire system stop? A) Yes, immediately B) No, it continues to work due to HDFS redundancy C) Only if it is a holiday D) Yes, and all data is lost forever
Yes, immediately
Yes, and all data is lost forever
No, it continues to work due to HDFS redundancy
Only if it is a holiday
