Q.1 What is the primary characteristic of Big Data?
High volume, velocity, and variety
Small datasets
Only structured data
Low-speed processing
Explanation - Big Data is defined by the 3 Vs: high Volume, high Velocity, and high Variety of data.
Correct answer is: High volume, velocity, and variety
Q.2 Which of the following is a common Big Data storage framework?
HDFS
MySQL
SQLite
Oracle DB
Explanation - HDFS (Hadoop Distributed File System) is designed to store and manage very large datasets in a distributed environment.
Correct answer is: HDFS
Q.3 Which tool is widely used for distributed data processing in Big Data?
Hadoop MapReduce
Microsoft Excel
Tableau
SPSS
Explanation - MapReduce is a programming model used in Hadoop for processing large data sets with a parallel, distributed algorithm on a cluster.
Correct answer is: Hadoop MapReduce
Q.4 Which type of data does Big Data Mining handle?
Structured, semi-structured, and unstructured data
Only numerical data
Only images
Only text files
Explanation - Big Data Mining deals with diverse data types including structured, semi-structured, and unstructured data.
Correct answer is: Structured, semi-structured, and unstructured data
Q.5 What is the main purpose of Big Data Mining?
Discover hidden patterns and insights
Store data efficiently
Design databases
Format data for reports
Explanation - Big Data Mining aims to extract meaningful patterns, correlations, and insights from large and complex datasets.
Correct answer is: Discover hidden patterns and insights
Q.6 Which programming language is most commonly used for Big Data analytics?
Python
COBOL
Fortran
Pascal
Explanation - Python is widely used in Big Data analytics due to its libraries for data processing, machine learning, and visualization.
Correct answer is: Python
Q.7 Which of the following is NOT a Big Data processing model?
MapReduce
Spark
Flink
HTML5
Explanation - HTML5 is a web technology, not a Big Data processing model. MapReduce, Spark, and Flink are Big Data processing frameworks.
Correct answer is: HTML5
Q.8 What is the main advantage of Apache Spark over Hadoop MapReduce?
In-memory computation for faster processing
Less memory usage
Supports only SQL queries
Requires fewer CPUs
Explanation - Spark processes data in memory, making it faster than Hadoop MapReduce, which writes intermediate results to disk.
Correct answer is: In-memory computation for faster processing
Q.9 Which of the following is an example of unstructured data?
Social media posts
Excel spreadsheets
SQL tables
CSV files
Explanation - Unstructured data includes data without a predefined schema, such as text, images, videos, and social media posts.
Correct answer is: Social media posts
Q.10 Which concept allows Big Data systems to scale horizontally?
Distributed computing
Vertical scaling
Single-threaded processing
Manual data sharding
Explanation - Distributed computing allows Big Data systems to scale horizontally by distributing data and computation across multiple nodes.
Correct answer is: Distributed computing
Q.11 Which Big Data framework is optimized for real-time streaming data?
Apache Flink
HDFS
MapReduce
Hive
Explanation - Apache Flink is designed for real-time stream processing, whereas MapReduce and Hive are more batch-oriented.
Correct answer is: Apache Flink
Q.12 What is a key challenge in Big Data Mining?
Handling data volume and variety
Writing simple code
Low memory usage
Designing web pages
Explanation - The main challenges in Big Data Mining are the large volume, high velocity, and variety of data which require scalable algorithms.
Correct answer is: Handling data volume and variety
Q.13 Which of the following is an open-source Big Data analytics tool?
Apache Mahout
Microsoft Access
Oracle BI
SAS
Explanation - Apache Mahout is an open-source machine learning and Big Data analytics tool for scalable algorithms.
Correct answer is: Apache Mahout
Q.14 Which is a common method for Big Data preprocessing?
Data cleaning, normalization, and transformation
Drawing graphs manually
Using only raw data
Creating PowerPoint slides
Explanation - Big Data preprocessing involves cleaning, normalizing, and transforming data to make it suitable for analysis.
Correct answer is: Data cleaning, normalization, and transformation
Q.15 Which type of analysis is commonly performed on Big Data?
Predictive, descriptive, and prescriptive analytics
Word processing
File compression
Network routing
Explanation - Big Data supports advanced analytics such as predictive, descriptive, and prescriptive analysis to derive insights.
Correct answer is: Predictive, descriptive, and prescriptive analytics
Q.16 Which of the following is a NoSQL database used in Big Data?
MongoDB
Oracle SQL
Microsoft Access
PostgreSQL
Explanation - MongoDB is a NoSQL database commonly used to store semi-structured and unstructured Big Data.
Correct answer is: MongoDB
Q.17 Which technology enables Big Data visualization?
Tableau
Hadoop
Flink
MapReduce
Explanation - Tableau is a data visualization tool that helps present insights from Big Data effectively.
Correct answer is: Tableau
Q.18 In Big Data mining, 'data variety' refers to:
Different formats and types of data
Data speed
Data storage capacity
Amount of RAM used
Explanation - Data variety refers to the heterogeneity in data formats including structured, semi-structured, and unstructured data.
Correct answer is: Different formats and types of data
Q.19 Which of the following is a cloud-based Big Data platform?
Amazon EMR
Notepad
Windows Explorer
Oracle Forms
Explanation - Amazon EMR (Elastic MapReduce) is a cloud-based platform for Big Data processing using Hadoop, Spark, and other tools.
Correct answer is: Amazon EMR
Q.20 Which is a popular machine learning library for Big Data?
Apache Spark MLlib
NumPy
Pandas
Matplotlib
Explanation - Spark MLlib is a scalable machine learning library designed for Big Data analytics and distributed computing.
Correct answer is: Apache Spark MLlib
Q.21 What does the 'velocity' characteristic of Big Data indicate?
The speed at which data is generated and processed
The size of data
The number of users
The cost of storage
Explanation - Velocity refers to the rapid generation, processing, and analysis of data in real-time or near-real-time.
Correct answer is: The speed at which data is generated and processed
Q.22 Which method is used to extract meaningful information from Big Data?
Data mining
Web browsing
Typing documents
Graphic designing
Explanation - Data mining techniques are used to discover patterns, correlations, and knowledge from large datasets.
Correct answer is: Data mining
Q.23 Which of the following is a distributed messaging system used in Big Data?
Apache Kafka
Notepad
Excel
PowerPoint
Explanation - Apache Kafka is a distributed messaging system used for building real-time data pipelines and streaming applications.
Correct answer is: Apache Kafka
Q.24 Which type of analytics predicts future trends from Big Data?
Predictive analytics
Descriptive analytics
Diagnostic analytics
Operational analytics
Explanation - Predictive analytics uses historical and current data to forecast future trends and behaviors.
Correct answer is: Predictive analytics