Cracking the Big Data Quiz

Cracking the Big Data Quiz

Test your knowledge about the evolving world of Big Data with this 10-questions quiz! See how far you can go in learning the basics of Big Data and come out as the victor in this challenging quiz!

published on May 08, 20230 responses 0
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1/10

What is Big Data?

What is Big Data?
A form of data analysis that uses large datasets to analyze patterns and trends
A type of software for collecting data in large volumes
A process used to predict certain events
A type of algorithm for identifying patterns in data
2/10

What are the main components of Big Data?

What are the main components of Big Data?
Volume, velocity, and variety
Scale, speed, and significance
Size, variety, and accuracy
Speed, variability, and consistency
3/10

What is an example of Big Data usage in today's world?

What is an example of Big Data usage in today's world?
Social media analytics
Cybersecurity
Data mining
Mathematical modeling
4/10

What is the commonly used tool in Big Data?

What is the commonly used tool in Big Data?
Hadoop
Cloud computing
Data visualization
Machine learning
5/10

Which of the following is NOT a characteristic of Big Data?

Which of the following is NOT a characteristic of Big Data?
Easy to store
High velocity
High variety
High volume
6/10

What type of analysis is used in Big Data?

What type of analysis is used in Big Data?
Descriptive analysis
Predictive analysis
Prescriptive analysis
Explanatory analysis
7/10

What is used to process Big Data?

What is used to process Big Data?
SQL
Java
HTML
Python
8/10

Which data type can be stored in Big Data?

Which data type can be stored in Big Data?
Structured data
Audio data
Video data
3D data
9/10

Which tool helps with tracking trends in Big Data?

Which tool helps with tracking trends in Big Data?
Business Intelligence
Data mining
Data modeling
Data visualization
10/10

Which of the following is NOT a benefit of Big Data?

Which of the following is NOT a benefit of Big Data?
Improved security
In-depth analysis
Improved efficiency
Timely decision making