100 MCQs on Basic Of Big Data (PDF) with Answers
Top 100 Multiple Choice Questions with Answers on Basics of Big Data
1. Question: What does the term “big data” refer to?
a) Any large dataset
b) Data that cannot be processed
c) Data that is too complex to analyze
d) Large and complex datasets that require specialized tools and techniques
Answer: d) Large and complex datasets that require specialized tools and techniques
2. Question: What are the three main characteristics of big data known as the “Three Vs”?
a) Volume, Variety, Velocity
b) Volume, Value, Vulnerability
c) Veracity, Velocity, Variety
d) Value, Variety, Velocity
Answer: a) Volume, Variety, Velocity
3. Question: Which term refers to the process of analyzing large datasets to uncover hidden patterns and insights?
a) Data warehousing
b) Data mining
c) Data storage
d) Data aggregation
Answer: b) Data mining
4. Question: What is the primary goal of data preprocessing in big data analysis?
a) To increase the size of the dataset
b) To reduce the volume of the dataset
c) To enhance the quality of the dataset
d) To eliminate variety in the dataset
Answer: c) To enhance the quality of the dataset
5. Question: What is the role of Hadoop in big data processing?
a) Hadoop is a programming language for big data analysis
b) Hadoop is a type of database used for big data storage
c) Hadoop is a framework for distributed processing of large datasets
d) Hadoop is a visualization tool for big data analysis
Answer: c) Hadoop is a framework for distributed processing of large datasets
6. Question: Which programming language is commonly used for big data analysis and processing?
a) Java
b) Python
c) C++
d) Ruby
Answer: b) Python
7. Question: What is the purpose of MapReduce in Hadoop?
a) To create maps of geographical locations
b) To visualize data on maps
c) To process and analyze large datasets in parallel
d) To generate reports from data
Answer: c) To process and analyze large datasets in parallel
8. Question: What is the main advantage of using distributed storage systems in big data environments?
a) Centralized management of data
b) Faster data processing speed
c) Lower cost of storage
d) Redundancy and fault tolerance
Answer: d) Redundancy and fault tolerance
9. Question: Which type of data refers to information that is generated in real-time and requires immediate processing?
a) Structured data
b) Semi-structured data
c) Unstructured data
d) Streaming data
Answer: d) Streaming data
10. Question: What is the purpose of data partitioning in big data processing?
a) To remove irrelevant data
b) To distribute data across multiple storage devices
c) To merge data from different sources
d) To visualize data patterns
Answer: b) To distribute data across multiple storage devices
11. Question: What is the term for the process of extracting valuable insights and information from raw data?
a) Data storage
b) Data mining
c) Data aggregation
d) Data cataloging
Answer: b) Data mining
