Big Data Quiz

What is a Big Data?

• a) Data that is physically large in size

• Data that is difficult to understand

• Data that exceeds the processing capacity of traditional systems

• Data that is collected from social media only

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

• Volume

• Velocity

• Variability

• Viscosity

What does the term "Structured Data" refer to?

• Data that is organized and can be easily stored in spreadsheets or databases.

• Data that is messy and unorganized.

• Data that is collected without any specific purpose.

• Data that is too large to be useful.

Which step in the data processing cycle involves gathering and collecting data from various sources?

• Analysis

• Visualization

• Data Retrieval

• Data Collection

Which of the following is an example of an unstructured data source?

• Sensor data from industrial machinery.

• Sales transaction records in a database.

• Customer names and addresses.
  

• Social media posts and comments.

What is the primary goal of data preprocessing in the context of Big Data?

• To reduce the amount of data.

• To increase the speed of data processing.

• To convert data into a different format.

• To clean, transform, and organize data for analysis.

Which technology is commonly used to store and manage Big Data in a distributed manner?

• USB drives

• Mainframe computers

• Relational databases

• Hadoop

What is the main purpose of using data visualisation techniques in Big Data analysis?

• To confuse users with complex visuals.

• To showcase artistic skills of data analysts.

• To communicate insights and patterns in the data effectively.

• To replace the need for data analysis.

What does the term "Data Analytics" refer to?

• The process of collecting data from various sources.

• The process of storing data in databases.

• The process of transforming data into meaningful insights and making decisions.

• The process of deleting irrelevant data.

What is a potential ethical concern related to the use of Big Data?

• Collecting too little data.

• Providing too much data storage.

• Violating individual privacy by analysing personal information without consent.

• Storing data in a structured format.