Data & Web Scraping Quiz (20 MCQs)

1) What is data?

A) Only numbers and text B) Anything a computer can store, process, or analyze C) Only images and sounds D) Only things written in code

2) Why is data compared to fuel for a car?

A) Because both are expensive B) Without it, AI won’t function C) Because it is liquid D) Because it is renewable

3) Why does AI need data?

A) To take screenshots B) To learn and make decisions C) To replace programmers D) To make websites load faster

4) If AI is trained on bad or messy data, what can happen?

A) It becomes more accurate B) It will ignore the data C) It may make mistakes D) It will stop working completely

5) Which is an example of AI using data for personalization?

A) Netflix suggesting movies B) A calculator adding numbers C) A light bulb turning on D) A dictionary giving meanings

6) What is data scraping?

A) Cleaning messy data B) Collecting information from websites automatically C) Storing data in Google Drive D) Building a website

7) Why do we scrape data?

A) To avoid using the internet B) To extract useful information and save time C) To create new programming languages D) To stop websites from changing

8) Which is a real-life example of data scraping?

A) Copying homework from a friend B) A bot collecting daily sports scores C) Manually writing a grocery list D) Turning on subtitles in Netflix

9) Before scraping a website, what should you always check?

A) The website owner’s email B) The robots.txt file C) The number of visitors D) The font size of the page

10) What is Google Colab mainly used for?

A) Playing online games B) Free cloud-based coding in Python C) Building websites without code D) Managing social media

11) What does the Requests library in Python do?

A) Creates Python games B) Connects to websites and retrieves data C) Builds machine learning models D) Runs Python in the cloud

12) What does the Beautiful Soup library do?

A) Creates delicious recipes B) Parses HTML and extracts data C) Stores files in Google Drive D) Secures websites

13) What does parsing mean in web scraping?

A) Saving files in folders B) Breaking down HTML into smaller, understandable parts C) Encrypting website data D) Blocking a webpage

14) Which two packages are used together for scraping in Python?

A) pandas and numpy B) requests and BeautifulSoup C) tensorflow and pytorch D) flask and django

15) What does <span> represent in HTML?

A) A large block of text B) An inline element often used for grouping text C) A link to another page D) A button

16) In `soup.find_all('span', class_='text')`, what does `class_='text'` do?

A) Deletes text from the page B) Filters <span> tags that have the class “text” C) Finds all buttons on the page D) Adds styles to the span

17) What does the method `find_all()` return?

A) Just the first element that matches B) All elements that match the given condition C) The last element only D) A number count of tags

18) Which Python module is used to select a random quote from scraped data?

A) os B) sys C) random D) math

19) If you scrape quotes into a list, what does `random.choice(quotes)` do?

A) Deletes all quotes B) Selects one random quote C) Sorts the quotes D) Prints all quotes in order

20) Which is NOT an example of encountering data in daily life?

A) Online shopping recommendations B) Bank transaction records C) Checking the weather app D) Sleeping at night