1 Which of the following is a tool used for data visualization? A Microsoft Excel B Tableau C MySQL D Python
2 Data Science is an interdisciplinary field. What does interdisciplinary mean? A It uses only computer science B It combines knowledge from many fields C It deals with only numbers D It is a single subject
3 What does time complexity measure? A Memory usage B Number of steps an algorithm takes C Number of errors D Code length
4 Which computational thinking skill involves breaking a large problem into smaller, manageable parts? A Decomposition B Abstraction C Pattern Recognition D Algorithm Design
5 Which type of data is stored in a database table with rows and columns? A Unstructured data B Structured data C Qualitative data D Raw data
6 What is the purpose of the <title> tag in HTML? A To define a heading in the body B To specify the title of the document shown in the browser tab C To create a tooltip D To add a comment
7 Which of the following is a data science technique? A Machine learning B Word processing C Web browsing D Email filtering
9 What is the primary purpose of abstraction in computational thinking? A To focus on essential details and ignore irrelevant ones B To split a problem into smaller sub-problems C To find similarities among different problems D To write code in a programming language
10 Which of the following is a common error message in LARP? A Missing semicolon B Undefined variable C File not found D All of these
11 Which data type is highly organized and easily searchable? A Unstructured data B Semi-structured data C Structured data D Raw data
12 What does LARP stand for? A Logic of Algorithms for Resolution of Problems B Language for Algorithmic Representation C Logical Analysis of Runtime Problems D Linear Algorithm Representation Program
13 Which of the following is a source of data? A Surveys B Data cleaning C Data visualization D Data backup
14 LARP stands for: A Logic of Algorithms for Resolution of Problems B Language for Algorithm Representation and Processing C Logical Analysis of Real Problems D Learning Algorithm for Programming
15 What is the main benefit of data visualization? A It hides data B It makes data easy to understand C It deletes data D It slows down analysis
16 Which part of computational thinking means breaking a big problem into smaller, easier parts? A Abstraction B Decomposition C Pattern Recognition D Simulation
17 What does data pre-processing involve? A Cleaning and transforming raw data B Only visualizing data C Only storing data D Only sharing data
18 What is computational thinking? A A way of solving problems using computers only B A method of thinking that helps solve problems logically C A programming language D A type of computer hardware
19 Which step of computational thinking involves simplifying a problem? A Problem Understanding B Problem Simplification C Solution Selection D Algorithm Design
21 Which storage technique is best for handling large volumes of unstructured data? A Spreadsheets B Relational databases C NoSQL databases D Data warehouses
22 Which step is part of data pre-processing? A Data cleaning B Data visualization C Data storage D Data sharing
23 What is the main purpose of data pre-processing? A To visualize data B To store data in cloud C To prepare data for analysis by cleaning and transforming D To share data with others
24 Time complexity of an algorithm measures: A The amount of memory used B The number of steps executed C The number of errors D The size of the input
25 Which technology is mainly used for the front-end development of a website? A HTML, CSS, and JavaScript B PHP and MySQL C Node.js and Express D Python and Django