Quiz#1 for Semi-Finals

What is Big Data?

• • A collection of small datasets

• • Data that can be easily processed by traditional databases

• • Large, complex data sets that require advanced tools for analysis

• • Only data collected from social media platforms

What does the term ‘Volume’ refer to in Big Data?

• • The speed of data processing

• • The amount of data generated and stored

• • The accuracy of data

• • The variety of data types

Which Big Data characteristic refers to the speed at which data is generated and processed?

• • Volume

• • Variety

• • Velocity

• • Veracity

The characteristic of ‘Variety’ in Big Data mainly describes:

• • The type of software used for analysis

• • The range of data types and sources

• • The accuracy of data collected

• • The format of structured data only

In Big Data, ‘Veracity’ addresses which of the following issues?

• • Data storage

• • The reliability and accuracy of data

• • Data speed

• • The tools used for data analytics

What is the main function of data mining in Big Data?

• • Collecting data from the internet

• • Extracting valuable insights and patterns from large datasets

• • Visualizing data in charts and graphs

• • Organizing data alphabetically

What is one of the main ethical concerns in Big Data?

• • Data accessibility only

• • The high cost of data storage

• • Privacy and security of personal information

• • Lack of visualization tools

Why is ‘cloud computing’ often used in Big Data analytics?

• • It offers unlimited data storage for free

• • It provides scalable resources for processing large datasets

• • It requires no internet connection

• • It only supports unstructured data

What is a primary goal of Big Data analytics in the retail industry?

• • Predicting future weather patterns

• • Enhancing customer insights and improving marketing strategies

• • Tracking employee attendance

• • Analyzing medical records

Which sector has widely adopted Big Data analytics for predictive maintenance?

• • Retail

• • Healthcare

• • Manufacturing

• • Education