Big Data grade 9 HA

Question 1: What does "Big Data" refer to?

• a) A supercomputer used for gaming

• b) A large collection of data that's challenging to manage and analyze

• c) Small-sized data used in everyday tasks

• d) A tiny storage device

Question 2: Which term describes data that is structured and organized like a table with rows and columns?

• a) Messy data

• b) Unstructured data

• c) Structured data

• d) Complex data

Question 3: What is a common source of Big Data?

• a) A simple grocery list

• b) A short text message

• c) Social media posts, videos, and online shopping transactions

• d) A handwritten letter

Question 4: What does the "3Vs" of Big Data stand for?

• a) Very Large Views

• b) Various Volumes

• c) Versatile Values

• d) Volume, Variety, Velocity

Question 5: Which technology helps store and manage large amounts of data in a cloud-based system?

• a) Paper notebookscomputing

• b) Floppy disks

• c) Cloud computing

• d) Cassette tapes

Question 6: What do we call data that doesn't fit neatly into rows and columns but still holds valuable information?

• a) Tidy data

• b) Unstructured data

• c) Neat data

• d) Simple data

Question 7: What's the goal of data analysis in Big Data projects?

• a) To make data more confusing

• b) To create colorful graphs

• c) To find useful patterns and insights in data

• d) To hide data from everyone

Question 8: What's the process of cleaning, organizing, and preparing data for analysis called?

• a) Data obfuscation

• b) Data confusion

• c) Data preprocessing

• d) Data jumbling

Question 9: Which of these is a challenge with Big Data?

• a) Too much storage space

• b) Easy data processing

• c) Ensuring data security

• d) Lack of data sources

Question 10: Which programming language is often used for working with Big Data?

• a) Emoji language

• b) Python

• c) Ancient Greek

• d) Sign language