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9th Class Computer 2nd Quarter Book Paper9th Class · Computer · Federal (FBISE)
Q1. Multiple choice questions (Attempt all · 12 × 1 = 12)
- What is the primary use of JavaScript?
- _________ is the use of data to predict future trends and events based on historical data.
- What is an 'event' in programming?
- ________ is a structured or processed collection of data usually associated with a unique body of work.
- How does HTML identify and support objects in a webpage?
- _________ includes the data which can only take certain values and cannot be further subdivided into smaller units.
- Where is Embedded CSS placed in an HTML document ?
- When did the term 'big data' start being widely recognized?
- The first value assigned to a variable after declaration is called _________.
- What does 'Volume' refer to in big data?
- What can CSS be added to an HTML documents ?
- How does big data help in fraud detection?
Q2. Short questions (Attempt any 8 of 12 · 8 × 2 = 16)
- Why are summary statistics needed?
- What is HTML?
- What tools can be used for data analysis?
- Explain the role of tag-pair in a document.
- Differentiate between database and dataset.
- Name three stylesheets languages mentioned in the text.
- How is data represented?
- What is the primary language used for basic website development?
- What role did Hadoop play in managing big data?
- Which stylesheet language is the most commonly used with HTML ?
- Define data analytics and data science. Are they similar or different? Give reason.
- What is an Integrated Development Environment (IDE), and which one is mentioned in the text ?
Q3. Long questions (Attempt any 3 of 4 · 3 × 4 = 12)
- In context of Fig. (d), add another button namely 'Revert' which when is pressed, it will reverse both the color and index values.
- Compare how big data is applicable to various fields of life. Illustrate your answer with suitable examples.
- What is HTML and how does it work with tags to display content on a webpage? Provide an example to illustrate your explanation.
- Explain the sources of data, dataset, and database in the context of data science, including the role of a Database Management System (DBMS) and examples of relational and non- relational DBMS.