⚑ Alerts
πŸ”₯ Updated 2026 Board Exams 2026: Pairing schemes, PDF notes & guess papers fully updated! Download Schemes →

Lahore Board 10th Class Computer Notes Urdu Medium All Chapters Question Answers

If you are looking for 10th class computer notes urdu medium lahore board, this page gives you a complete, chapter-wise revision set for the new Punjab book. These are original study and revision notes written in simple, clear language for Urdu-medium learners. They are not official board notes, not the textbook, not leaked material, and they do not guarantee any result. Use them to understand concepts, revise quickly, and practise answering in your own words.

The book covered here is Computer Science and Entrepreneurship for Class 10 under the Punjab new PCTB 2026-27 book. It has 8 chapters, not the old 5-chapter programming book. The chapters move from how a computer system works, to keeping it safe and repaired, to Python programming, to data, artificial intelligence, and finally to using technology to build a small business idea.

10th class computer notes Urdu medium Lahore Board cover showing Python code on a laptop, a notebook and study tools for revision
10th class computer notes Urdu medium Lahore Board: a simple revision cover for Python, operating systems, data science, AI and digital entrepreneurship.

PDF Download

Download the PDF: Lahore Board 10th Class Computer Notes Urdu All Chapters (PDF)

Keep the PDF with these online notes. Read a chapter here first, try the questions without looking, then check the answers and the PDF for a final revision pass.

For the wider Class 10 collection, see 10th Class Notes, Guess Papers, Pairing Schemes and Past Papers. If you want to see how computer notes continue in the next class, see 1st Year Computer Science Notes: All Chapters, Short and Long Questions, MCQs.

How to Use These Notes

  • Read the short explanation first, then cover the answers and recall them aloud.
  • For Python, practise the logic on paper and then, where possible, in a Python editor.
  • For MCQs, mark your answer before reading the key, and revisit any chapter where you miss two or more.
  • Write long answers in your own sentences, with a clear start, explanation and short conclusion.

Chapter 1: Operating Systems Structure and Services

An operating system is the main software that manages a computer and lets the user, the programs and the hardware work together. It starts the computer, controls memory and files, runs programs in an orderly way, and protects data from unauthorised use. Without it, every program would have to control the hardware directly, which would be slow, unsafe and very difficult.

Important points: The kernel is the core part that talks to hardware. System calls let programs ask the operating system for services. Process management, memory management, file management and device management are four basic services. A good operating system keeps programs separate so one fault does not stop the whole computer.

Short questions

  1. What is an operating system? An operating system is system software that manages hardware and software resources and provides common services for programs. It acts as a bridge between the user and the computer, so the user does not need to know the details of the hardware.
  2. What is a kernel? The kernel is the central part of an operating system that stays in memory and controls the processor, memory and devices. It decides which program runs, gives memory to programs, and handles requests from other software in a safe and orderly way.
  3. What is process management? Process management is the work of creating, scheduling, pausing and ending programs that are running. The operating system gives each process a fair share of processor time, keeps its state safe, and removes it cleanly when it finishes or fails.
  4. What is memory management? Memory management is the control of main memory so programs get the space they need without overwriting each other. It loads programs, tracks free and used space, and frees memory when a program ends, which keeps the computer stable and efficient.
  5. Why is file management important? File management organises data into files and folders, controls who can open or change them, and keeps track of where data is stored. Without it, finding, saving and protecting work would be confusing and unsafe.

Long questions

  1. Explain the main services of an operating system in detail. An operating system provides process management by starting and scheduling programs and giving them processor time. It provides memory management by allocating and freeing memory safely. It provides file management by organising storage, naming files and controlling access. It provides device management by controlling printers, disks and other devices through drivers. It also provides security by checking user identity and permission, and a user interface so people can give commands easily. Together, these services let many programs run safely on the same machine.
  2. Explain the structure of an operating system and the role of the kernel. An operating system can be seen in layers, with hardware at the bottom, the kernel above it, system programs in the middle, and application programs and users at the top. The kernel is the most trusted layer because it controls hardware directly. Above it, system calls act as a safe doorway: programs ask the kernel for help instead of touching hardware themselves. This layered design makes the system easier to build, test and protect, because a fault in an application is less likely to damage the whole system.

MCQs

  1. The software that manages computer hardware and programs is called: (a) a browser (b) an operating system (c) a compiler (d) a spreadsheet. Answer: (b)
  2. The core part of an operating system is called the: (a) shell (b) kernel (c) folder (d) driver only. Answer: (b)
  3. A program asking the operating system for a service uses a: (a) system call (b) virus (c) cable (d) password. Answer: (a)
  4. Which service controls the allocation of main memory? (a) File management (b) Memory management (c) Printing (d) Booting only. Answer: (b)
  5. Keeping running programs separate from each other mainly improves: (a) colour (b) stability and security (c) screen size (d) internet speed only. Answer: (b)

Answer key: 1-b, 2-b, 3-a, 4-b, 5-b.

Chapter 2: System Recovery and Advanced Maintenance

System recovery means bringing a computer back to working order after a fault, a failed update, a virus attack or a hardware problem. Advanced maintenance means regular care that prevents many faults: updating software, cleaning unwanted files, checking disks, backing up data and keeping the system secure. Together, they protect study work and save time.

Important points: A backup is a second copy of important data kept in a safe place. A restore point records system settings at a healthy time. Disk checking finds and fixes file errors. Safe removal, strong passwords and updated antivirus software reduce risk.

Short questions

  1. What is system recovery? System recovery is the process of repairing a computer and returning it to a normal working state after a problem. It may use a restore point, a recovery drive, a fresh repair of system files, or a backup of personal data.
  2. What is a backup and why is it needed? A backup is an extra copy of important files stored separately from the original, for example on a USB drive or in cloud storage. It is needed because a disk can fail, a file can be deleted by mistake, or malware can damage data, and a backup makes recovery possible.
  3. What is a restore point? A restore point is a saved record of system files and settings at a time when the computer was working well. If a new program or update causes trouble, the system can return to that earlier state without deleting personal files in most cases.
  4. Why should software be updated? Updates fix faults, close security weaknesses and improve performance. An old program may contain a known weakness that malware can exploit, so regular updates are a simple and important safety step.
  5. What is disk maintenance? Disk maintenance includes checking a disk for errors, removing temporary and unwanted files, and keeping enough free space. These steps help programs load faster, reduce crashes and make it easier to find and save work.

Long questions

  1. Explain a safe recovery plan for a student computer. A safe plan starts before any problem: keep regular backups, note important passwords safely, and create a restore point when the system is healthy. When a problem appears, first save any open work if possible, then restart and check for a simple cause, such as a loose cable or a recent update. Next, run a virus scan and disk check, use system restore if the fault began recently, and reinstall only the faulty program if needed. If data is lost, restore it from the backup and test the computer before returning to normal use. This order avoids panic and prevents a small fault from becoming a large loss.
  2. Explain advanced maintenance and how it prevents system failure. Advanced maintenance is planned care rather than repair after failure. It includes updating the operating system and programs, scanning for malware, checking disks, removing unused programs, and keeping backups up to date. It also includes safe habits: shutting down properly, avoiding unknown downloads, and keeping the computer clean and cool. Each step removes a common cause of failure, so the system stays faster, safer and more reliable for study.

MCQs

  1. A second copy of important data kept for safety is called a: (a) virus (b) backup (c) shortcut (d) driver. Answer: (b)
  2. A restore point mainly saves: (a) only photos (b) system files and settings (c) internet passwords only (d) screen brightness. Answer: (b)
  3. Regular software updates mainly help by: (a) changing the keyboard (b) fixing faults and security weaknesses (c) deleting all files (d) slowing the computer. Answer: (b)
  4. Disk checking is used to: (a) find and fix file errors (b) increase screen size (c) print faster (d) change the mouse. Answer: (a)
  5. The first safe step when a computer behaves strangely is to: (a) delete everything at once (b) save work if possible and look for a simple cause (c) ignore backups (d) open unknown files. Answer: (b)

Answer key: 1-b, 2-b, 3-b, 4-a, 5-b.

Chapter 3: Introduction to Python Programming

Python is a high-level, easy-to-read programming language used for learning, data work, web work and automation. A Python program is a set of instructions written in plain, short lines. Python checks the type of data itself, so beginners can focus on logic rather than long, complex setup. A simple program, such as print(“Hello”), shows how direct Python can be.

Important points: A variable stores a value under a name. Common data types include integers, floats, strings and booleans. Input comes from the user with input(), and output is shown with print(). Indentation, or careful spacing at the start of a line, shows which lines belong together.

Short questions

  1. What is Python? Python is a high-level programming language known for clear, readable code. It is used to build programs, analyse data, automate tasks and learn programming, and it allows a programmer to write useful code in fewer lines than many older languages.
  2. What is a variable? A variable is a named place in memory that stores a value, such as a number or a word. For example, marks = 85 stores 85 under the name marks, and the program can use that name later instead of repeating the number.
  3. What is a data type? A data type tells the computer what kind of value is stored and what can be done with it. An integer is a whole number, a float has a decimal part, a string is text, and a boolean is True or False.
  4. What is the use of print() in Python? The print() function shows output on the screen. It can show text, numbers, the value of a variable, or a mixture of these, which makes it useful for results, messages and checking a program while it runs.
  5. Why is indentation important in Python? Indentation shows the structure of a program. Lines that belong to the same block, such as the body of a function or a condition, are indented by the same amount. Wrong indentation can change the meaning of a program or cause an error.

Long questions

  1. Explain variables, data types and input-output in Python with examples. A variable is created by giving a value to a name, for example age = 15, name = “Ali” and height = 5.4. Python treats age as an integer, name as a string and height as a float. Input is taken with input(), which reads text from the user, and output is shown with print(). For example, name = input(“Enter your name: “) followed by print(“Welcome”, name) asks for a name and then shows a welcome message. Choosing the right data type matters, because adding numbers gives a total, while adding strings joins text, so a careful programmer checks the type before an operation.
  2. Why is Python a good first language for Class 10 students? Python is a good first language because its code reads almost like simple English, so students can focus on thinking and problem solving. It needs little setup, gives quick results, and reports errors in a way that is easier to understand. Python also has many uses beyond school, from data science to web development, so early skills stay useful. At the same time, Python still teaches real programming ideas, such as variables, conditions, loops and functions, which transfer to other languages.

MCQs

  1. Python is best described as a: (a) low-level machine code only (b) high-level, readable programming language (c) printer (d) database only. Answer: (b)
  2. Which statement stores 20 in a variable called score? (a) score == 20 (b) score = 20 (c) 20 = score (d) print(score). Answer: (b)
  3. The data type of “Lahore” in Python is: (a) integer (b) float (c) string (d) boolean. Answer: (c)
  4. Which function takes input from the user? (a) print() (b) input() (c) output() (d) type(). Answer: (b)
  5. In Python, block structure is mainly shown by: (a) colour (b) indentation (c) file name (d) screen size. Answer: (b)

Answer key: 1-b, 2-b, 3-c, 4-b, 5-b.

Chapter 4: Control Structures in Python

Control structures decide the order in which program steps run. A sequence runs steps one after another. A selection, such as if, chooses a path based on a condition. A loop repeats steps while a condition is true or for each item in a collection. Without control structures, every program would run in one straight line and could not respond to different inputs.

Important points: if runs a block only when its condition is true. if-else gives two paths. elif checks more conditions in order. for repeats for a known set of values. while repeats until a condition becomes false, so the condition must change inside the loop.

Short questions

  1. What is a control structure? A control structure controls the flow of a program by deciding which steps run, in what order, and how many times. The three main kinds are sequence, selection and repetition, and they let a program respond to different data.
  2. What is selection in Python? Selection is a decision in a program, made with if, elif and else. The program tests a condition, and only the block whose condition is true runs, so the same program can give different results for different inputs.
  3. What is the difference between if and if-else? An if statement runs its block only when the condition is true and does nothing otherwise. An if-else statement gives two clear paths: one block for the true case and another block for the false case.
  4. What is a for loop? A for loop repeats a block for each item in a sequence, such as a list or a range of numbers. It is useful when the number of repetitions is known or when every item in a collection must be processed in turn.
  5. What is a while loop? A while loop repeats a block as long as its condition stays true. It is useful when the number of repetitions is not known in advance, but the loop must update something, such as a counter, or it may run forever.

Long questions

  1. Explain if, elif and else with a marks example. Suppose a program must grade marks. It can test marks >= 80 first and print a top grade, then use elif marks >= 60 for a good grade, elif marks >= 40 for a pass, and else for fail. Python checks the conditions in order and runs only the first matching block, then skips the rest. This structure is clear because each range is tested once, and the final else safely covers every remaining case, including marks below the pass mark.
  2. Explain for and while loops and when to use each one. A for loop is best when the repetitions are counted or listed, for example printing numbers from 1 to 10 or showing every name in a class list. A while loop is best when repetition depends on a changing condition, for example asking for a password until it is correct or adding numbers until a total reaches a limit. The key difference is control: for is driven by a sequence, while is driven by a condition. A careful programmer makes sure a while loop can end, by changing the condition inside the loop.

MCQs

  1. Which structure chooses between paths based on a condition? (a) Sequence only (b) Selection (c) Comment (d) Variable. Answer: (b)
  2. In Python, the block after if runs when the condition is: (a) false (b) true (c) missing (d) a string only. Answer: (b)
  3. elif is used to: (a) end a program (b) test another condition after if (c) repeat forever (d) print only. Answer: (b)
  4. A for loop is most suitable for: (a) an unknown condition (b) each item in a known sequence (c) deleting files (d) drawing only. Answer: (b)
  5. An endless while loop is usually caused by: (a) a condition that never becomes false (b) a print statement (c) a string (d) a correct counter. Answer: (a)

Answer key: 1-b, 2-b, 3-b, 4-b, 5-a.

Chapter 5: Introduction to Data Science

Data science is the study of collecting, cleaning, organising and understanding data so that people can make better decisions. Raw data on its own is often messy, so a data scientist checks it, removes errors, looks for patterns, and presents the result in a chart, table or short summary. A school example is using class test marks to find the average, the highest score and the subjects where students need more help.

Important points: Data can be numbers, text, images or measurements. Cleaning means fixing missing or wrong values. Visualisation means showing data in charts that are easy to read. A conclusion must be supported by the data, not by a guess.

Short questions

  1. What is data science? Data science is the process of collecting, cleaning, analysing and presenting data to find useful information. It turns large amounts of raw facts into clear answers that help people decide what to do next.
  2. What is raw data? Raw data is information collected before it has been cleaned or organised. It may contain errors, repeated entries or missing values, so it must be checked before any conclusion is drawn from it.
  3. What is data cleaning? Data cleaning is the work of fixing or removing wrong, repeated or missing values in a data set. Clean data gives more reliable results, while dirty data can lead to a wrong chart or a wrong decision.
  4. What is data visualisation? Data visualisation is showing data with charts, graphs or tables so patterns are easy to see. A bar chart, for example, makes it simple to compare values, while a line graph shows how a value changes over time.
  5. What is the difference between data and information? Data is a set of raw facts, such as a list of marks. Information is data that has been processed and given meaning, such as the class average or the number of students who passed, which can guide a decision.

Long questions

  1. Explain the main steps of a simple data science project. A simple project starts by asking a clear question, such as which subject needs more revision time. Next, data is collected from a reliable source, such as test records. Then the data is cleaned by fixing errors and removing duplicates. After that, the data is analysed with simple tools, such as averages, counts and charts, to find patterns. Finally, the result is presented in a short summary that answers the original question and explains what action should follow. Each step matters, because a weak question or dirty data can make the final answer misleading.
  2. Explain why data visualisation and careful conclusions are important. Visualisation is important because people understand a chart faster than a long list of numbers. A good chart shows comparison, change and distribution at a glance, which helps a reader spot a pattern without doing every calculation. Careful conclusions are equally important, because data shows what happened, not always why it happened. A responsible analyst checks the data, notes limits, and avoids claiming more than the evidence supports, so the decision based on the data is fair and useful.

MCQs

  1. Data science mainly turns raw data into: (a) more files (b) useful information for decisions (c) faster printers (d) larger screens. Answer: (b)
  2. Fixing missing and wrong values is called: (a) data cleaning (b) data printing (c) data hiding (d) data copying. Answer: (a)
  3. A bar chart is most useful for: (a) hiding data (b) comparing values (c) changing data type (d) storing passwords. Answer: (b)
  4. Which is information rather than raw data? (a) A list of all marks (b) The class average (c) An empty file (d) A single name. Answer: (b)
  5. A good data conclusion must be: (a) a guess (b) supported by the data (c) the longest answer (d) copied from another class. Answer: (b)

Answer key: 1-b, 2-a, 3-b, 4-b, 5-b.

Chapter 6: Introduction to Artificial Intelligence and Machine Learning

Artificial intelligence, or AI, is the ability of a computer system to do tasks that normally need human thinking, such as recognising images, understanding speech, or making a suggestion. Machine learning is a part of AI in which a system learns patterns from examples instead of following only fixed rules. For example, a system shown many pictures of cats and dogs can learn features that help it tell them apart in a new picture.

Important points: AI uses data, a model and a goal. Training means learning from examples. Testing checks the model on new examples it has not seen. Good data matters more than a complicated model, because biased or wrong data leads to unfair or wrong results.

Short questions

  1. What is artificial intelligence? Artificial intelligence is the field of making computer systems perform tasks that usually need human intelligence, such as learning, reasoning, seeing and understanding language. It does not mean a machine thinks like a person; it means it can use data and rules to solve a limited problem well.
  2. What is machine learning? Machine learning is a method within AI in which a system improves by learning patterns from data. Instead of a programmer writing every rule, the system is trained on examples and then uses what it learned to predict or classify new cases.
  3. What is training data? Training data is the set of examples used to teach a machine learning model. For a spam filter, training data includes messages already marked as spam or not spam, so the model learns the words and patterns linked to each group.
  4. What is a model in machine learning? A model is the result of training: a stored set of patterns and settings that can be used on new data. A good model generalises, which means it works reasonably well on new examples, not only on the examples it was trained with.
  5. Why is testing important in machine learning? Testing checks a model on examples it has not seen during training. It shows whether the model has truly learned a pattern or has simply memorised the training data, and it helps reveal errors before the model is used in real life.

Long questions

  1. Explain how machine learning works, from data to prediction. Machine learning starts with a clear problem and data that represents it, such as labelled pictures or past sales figures. The data is cleaned and split into training data and testing data. During training, the system adjusts its internal settings to reduce errors on the training examples. During testing, it is checked on new data to see how well it generalises. If the result is good, the model can be used to predict or classify new cases; if not, the data, features or training method must be improved. This cycle shows why data quality, careful testing and honest limits are central to AI.
  2. Explain the benefits and risks of AI in everyday life. AI can save time, help doctors find patterns in scans, help students practise, translate language, and make services more accessible. It can also create risks: biased data can lead to unfair decisions, wrong predictions can cause harm if people trust them blindly, and private data can be misused if it is not protected. The safe approach is to use AI as a helper, check important results, protect privacy, and keep a human in charge of serious decisions.

MCQs

  1. AI is best described as systems that: (a) always think like humans (b) perform tasks needing human-like thinking in a limited way (c) replace all computers (d) only play games. Answer: (b)
  2. Machine learning learns mainly from: (a) examples and data (b) screen size (c) cables (d) paper only. Answer: (a)
  3. Data used to teach a model is called: (a) testing data only (b) training data (c) output data only (d) deleted data. Answer: (b)
  4. Testing a model on unseen data mainly checks: (a) colour (b) whether it generalises (c) file size (d) printer speed. Answer: (b)
  5. Biased training data can lead to: (a) fair results always (b) unfair or wrong results (c) faster hardware (d) no effect. Answer: (b)

Answer key: 1-b, 2-a, 3-b, 4-b, 5-b.

Chapter 7: Applications of AI

AI is already used in many everyday areas. It helps doctors study medical images, helps farmers check crop health, helps banks spot unusual transactions, helps teachers personalise practice, and helps drivers with navigation and safety warnings. These uses share a pattern: a system learns from data, makes a suggestion or decision, and a human checks the result where the stakes are high.

Important points: Speech recognition turns spoken words into text. Image recognition finds objects and patterns in pictures. Recommendation systems suggest items based on past choices. Automation repeats a task accurately, but it still needs human oversight for fairness and safety.

Short questions

  1. Give two everyday applications of AI. Two everyday applications are voice assistants, which understand spoken commands, and navigation apps, which use traffic data to suggest a faster route. Both use data and learned patterns to help the user quickly.
  2. How is AI used in health care? In health care, AI can help study medical images, flag unusual patterns for a doctor to review, and organise patient records. It supports the doctor rather than replacing medical judgement, because a final diagnosis needs human expertise and care.
  3. What is a recommendation system? A recommendation system suggests books, videos, courses or products based on past choices and on what similar users liked. It learns patterns from behaviour, but it should also allow the user to explore new topics instead of only repeating old choices.
  4. What is speech recognition? Speech recognition is an AI application that converts spoken language into text or commands. It learns from many voice examples, so it can handle different accents and speeds, although background noise can still cause errors.
  5. Why must AI applications be checked by humans? AI applications must be checked because they can make mistakes, use biased data, or face a case they have not seen before. Human checking protects safety, fairness and privacy, especially in health, money and education.

Long questions

  1. Explain AI applications in education, health and business. In education, AI can give instant practice, adapt questions to a learner, and help teachers spot topics where a class is struggling. In health, it can support image review, appointment planning and early warning from patient data, while doctors keep final responsibility. In business, it can forecast demand, answer common customer questions, and spot unusual payments that may be fraud. In all three areas, the best result comes when AI handles large, repeated data work and humans handle judgement, empathy and final decisions.
  2. Explain the responsible use of AI applications. Responsible use starts with asking whether AI is needed and what data it will use. Personal data should be protected, and the system should be tested for bias and errors. Users should know when they are dealing with an AI system, and they should be able to question or appeal an important decision. Finally, the people who build and use AI should keep learning, because a system that is safe today may need new checks when data, users or laws change.

MCQs

  1. Turning spoken words into text is called: (a) image recognition (b) speech recognition (c) printing (d) file storage. Answer: (b)
  2. A system that suggests videos based on past viewing uses: (a) a recommendation system (b) a printer driver (c) a keyboard only (d) a backup. Answer: (a)
  3. In health care, AI should mainly: (a) replace doctors completely (b) support doctors while humans keep final judgement (c) hide records (d) ignore errors. Answer: (b)
  4. AI in business can help to: (a) forecast demand and spot unusual payments (b) remove all human work safely (c) guarantee profit (d) stop all fraud. Answer: (a)
  5. Responsible AI use requires: (a) no testing (b) privacy protection and human oversight (c) secret data use (d) blind trust. Answer: (b)

Answer key: 1-b, 2-a, 3-b, 4-a, 5-b.

Chapter 8: Digital Entrepreneurship

Digital entrepreneurship means starting and running a business with the help of digital tools. A digital entrepreneur finds a problem, offers a product or service online, reaches customers through a website or social media, and takes payments digitally. The idea does not need a large shop at the start, but it does need a clear customer, a fair price, and honest service.

Important points: A business idea must solve a real problem for a clear group of people. A simple business plan covers the product, customers, cost, price and promotion. Online trust comes from clear information, safe payments and good after-sales help.

Short questions

  1. What is digital entrepreneurship? Digital entrepreneurship is creating and running a business that mainly uses digital tools, such as websites, apps, online payment and social media, to sell a product or service. It lets a small business reach customers beyond one local area.
  2. What is a business idea? A business idea is a clear plan for a product or service that solves a problem for a group of customers. A good idea names the customer, the problem, the solution and how the business will earn enough to continue.
  3. What is a target customer? A target customer is the group of people most likely to buy a product or service. Knowing the target customer helps a business choose the right product, price, message and place to advertise.
  4. Why is online trust important? Online trust is important because customers cannot touch the product before buying. Clear photos, honest descriptions, safe payment, a return policy and quick replies help customers feel safe and return again.
  5. What is the difference between cost and price? Cost is what a business spends to make or deliver a product, including materials, time and delivery. Price is what the customer pays. A business must set a price above its cost, while still offering fair value, or it cannot survive.

Long questions

  1. Explain the steps to start a small digital business. A small digital business starts by finding a real problem and checking whether people will pay for a solution. Next, the entrepreneur defines the target customer and tests a simple version of the product with a small group. Then a simple plan is made for cost, price, promotion and delivery. After that, an online shop or page is created with clear information and safe payment. Finally, the business listens to customer feedback, fixes problems, and improves the product step by step. This careful order reduces risk and builds trust.
  2. Explain the benefits and challenges of digital entrepreneurship for students. Digital entrepreneurship gives students a low-cost way to learn business skills, reach customers online, and test ideas without renting a large shop. It also teaches planning, communication and basic finance. The challenges include strong competition, the need for honest marketing, delivery problems, and the risk of spending too much time online. A balanced approach is to start small, keep records, protect customer data, and treat study as the first priority while learning business skills.

MCQs

  1. Digital entrepreneurship mainly uses: (a) only a physical shop (b) digital tools to reach and serve customers (c) no customers (d) no planning. Answer: (b)
  2. A target customer is: (a) every person in the world (b) the group most likely to buy (c) a competitor only (d) a supplier only. Answer: (b)
  3. Online trust is mainly built by: (a) hiding prices (b) honest information and safe payment (c) false claims (d) no replies. Answer: (b)
  4. Cost means: (a) what the customer pays (b) what the business spends to make or deliver (c) profit only (d) advertising only. Answer: (b)
  5. A sensible first step for a student business is to: (a) borrow a large amount at once (b) start small and test the idea (c) hide all costs (d) ignore feedback. Answer: (b)

Answer key: 1-b, 2-b, 3-b, 4-b, 5-b.

Revision Checklist

  • Chapter 1: Can you name four operating system services and explain the kernel?
  • Chapter 2: Can you explain backup, restore points and a safe recovery plan?
  • Chapter 3: Can you write a small Python program using variables, input and print?
  • Chapter 4: Can you choose correctly between if-elif-else, for and while?
  • Chapter 5: Can you explain data cleaning, visualisation and a careful conclusion?
  • Chapter 6: Can you explain training, testing and why data quality matters in machine learning?
  • Chapter 7: Can you give AI examples in education, health and business, with human oversight?
  • Chapter 8: Can you explain a business idea, target customer, cost, price and online trust?
  • Final step: Try all 40 MCQs again, then download the PDF and revise any chapter with two or more mistakes.

These are original study and revision notes only. They are not official board notes, not the textbook, not leaked material, and they do not guarantee any result. Always check your school book and teacher guidance for the final syllabus and exam pattern.

Zahid Notes WhatsApp Channel

9th, 10th, 1st Year aur 2nd Year ke notes, guess papers aur board updates ke liye hamara WhatsApp Channel follow karein.

WhatsApp Channel Follow Karein

Koi bhi cheez chahiye ho β€” notes, guess papers, pairing schemes, paper patterns, past papers ya koi bhi study material β€” to WhatsApp par rabta karein.

Sab kuch free mein provide kiya jayega.

WhatsApp par Rabta Karein: +923018273628

Leave a Comment

WhatsApp Channel