Big data Grade 9 LA

Question 1: What is Big Data?

• a) Large-sized computers

• b) A lot of information

• c) Tiny computers

• d) A type of software

Question 2: Why is Big Data important?

• a) Because it's fun to collect

• b) It helps make better decisions

• c) It's just a trend

• d) It's not important at all

Question 3: Which of these is an example of Big Data source?

• a) A small diary

• b) A single-page website

• c) Social media posts

• d) A post-it note

Question 4: What does the term "volume" mean in Big Data?

• a) The loudness of data

• b) The size of data

• c) The speed of data

• d) The color of data

Question 5: What is a benefit of analyzing Big Data?

• a) Making data messy

• b) Increasing confusion

• c) Making better decisions

• d) Ignoring data

Question 6: What does the term "variety" mean in Big Data?

• a) Different types of data

• b) Data that tastes good

• c) Data that looks the same

• d) Only numbers in data

Question 7: What does the term "velocity" mean in Big Data?

• a) How fast data moves

• b) How heavy data is

• c) How old data is

• d) How colorful data is

Question 8: Which of these is NOT a challenge of Big Data?

• a) Too much information to handle

• b) Keeping data secure

• c) Making data more confusing

• d) Finding useful pattern

Question 9: What is the main goal of collecting and analyzing Big Data?

• a) To make things simple

• b) To sell data to others

• c) To find insights and patterns

• d) To delete all the data

Question 10: Which of the following is an example of structured data?

• a) Social media posts

• b) Unorganized notes

• c) A spreadsheet with sales numbers

• d) Handwritten letters