The CBSE Class 12 Informatics Practices sample paper is released by CBSE recently. If you are class 12 students and opted Informatics Practices as one of the subjects and looking for the best solution of it, you are at right place to practice sample papers well and score well in the board exam.

In this article, we will cover:

  • Where to download the official CBSE Class 12 Informatics Practices 2026 sample paper
  • Marking scheme and exam pattern
  • Question-wise analysis
  • Tips to score full marks

Download CBSE Class 12 Informatics Practices sample paper

CBSE has officially published the sample question paper and marking scheme for Informatics Practices on its academic website. You can download them here:

CBSE Class 12 Informatics Practices 2026 – Exam Pattern

The Informatics Practices board exam carries 70 marks for theory and 30 marks for practicals. Here’s the 2026 paper pattern:

SectionQuestion TypeMarks
Section AShort answer (1 mark)21 Qs × 1 mark = 21
Section BShort answer (2 marks)7 Qs × 2 marks = 14
Section CLong answer (3 marks)4 Qs × 3 marks = 12
Section DLong answer (5 marks)2 Qs × 4 marks = 08
Section ECompetency Based3 Qs x 5 marks = 15
Total Marks70

Question-wise Analysis – CBSE Sample Paper 2026 Informatics Practices

The question-wise analysis done as follows:

The chapter wise weightage is as follows:

Watch this video to understand the Blueprint and SQP analysis:

The 2026 sample paper focuses more on:

  • Python programming – Data handling, Pandas, and Matplotlib
  • SQL queries – Joins, Group By, Aggregate functions
  • Data management & cybersecurity – File handling, Data privacy
  • Data visualisation – Bar, Line charts in Matplotlib
  • Societal Impacts – Digital Footprints, Cyber Crime

Most high-weightage questions are application-based, meaning rote learning won’t help—you need conceptual clarity.

Section A Very short answer questions – 1 mark questions

[1] State whether the following statement is True or False:
The drop() method can be used to remove rows or columns from a Pandas DataFrame.

[2] What will be the result of the following SQL query?
SELECT MOD(5, 6);
(A) 3
(B) 5
(C) 6
(D) 0

[3] Shruti received an email that appeared to be from a popular social media platform, requesting her to click a link to reset her password. The link directed her to a fraudulent website designed to capture her login credentials. This situation is an example of which type of cybercrime?
(A) Cyber Bullying
(B) Violation of Intellectual Property Rights
(C) Hacking
(D) Phishing

[4] Which of the following Python statements is used to write a Pandas DataFrame df to a CSV file?
(A) df.to_csv()
(B) df.write_csv()
(C) df.to_table()
(D) df.export_csv()

[5] Which of the following device is used for converting digital signals from a computer into analog signals for transmission over a telephone line.
(A) Modem
(B) Switch
(C) Repeater
(D) Router

[6] Which of the following commands will display the last three elements of a Pandas Series ser?
(A) print(ser[3])
(B) print(ser[:3])
(C) print(ser(3:1))
(D) print(ser[-3:])

[7] Aarushi has written a novel and wants to protect her literary work. Which type of Intellectual Property right will help her do that?
(A) Patent
(B) Copyright
(C) Trademark
(D) Both Copyright & Trademark

[8] The default index used in a Pandas Series, if no index is explicitly specified, is _
(A) Strings starting with ‘a’
(B) Consecutive integers starting from 1
(C) Random integers
(D) Consecutive integers starting from 0

[9] Consider a table named Students that has one primary key and three alternate keys. How many candidate keys does the table have?
(A) 1
(B) 2
(C) 3
(D) 4

[10] Which of the following is an application of VoIP technology?
(A) Email
(B) Chat
(C) Internet Telephony
(D) Web Browsing

[11] Which of the following SQL function is used to count the non-NULL values in a column named column_name?
(A) COUNT(*)
(B) COUNT(column_name)
(C) SUM(column_name)
(D) AVG(column_name)

[12] When two Pandas Series with different indices are added, the result is ___________________.
(A) Error occurs
(B) Indices are ignored, and elements are added in order
(C) The result has all indices, with missing values filled as NaN
(D) Only the common indices are retained in the result

[13] In India, the primary law that deals e-commerce and cybercrime is ___________.
(A) Cybercrime Prevention Act, 2000
(B) Digital Security Act, 2000
(C) Information Technology Act, 2000
(D) E-Commerce Regulation Act, 2008

[14] Which SQL command is used to sort rows in either ascending or descending order of values in a specific column?
(A) ORDER BY
(B) SORT BY
(C) GROUP BY
(D) SORT ON

[15] Which of the following Python commands selects the first 3 rows of a DataFrame df?
(A) df.iloc[:4]
(B) df.iloc[:3]
(C) df.iloc[0:5]
(D) df.iloc[1:5]

[16] In which network topology is every node directly connected to every other node?
(A) Star
(B) Tree
(C) Mesh
(D) Bus

[17] What is the use of the INSTR() function in SQL?
(A) To replace characters in a string
(B) To find the length of a string
(C) To find the position of a substring in a string
(D) To extract characters from a string

[18] Which of the following Python statements creates an empty Pandas DataFrame? (Note: pd is an alias for pandas)
(A) pd.DataFrame(None)
(B) pd.DataFrame()
(C) pd.DataFrame([])
(D) pd.DataFrame.empty()

[19] Which of the following is NOT an aggregate function in SQL?
(A) MIN()
(B) SUM()
(C) UPPER()
(D) AVG()

Q-20 and Q-21 are Assertion (A) and Reason (R) Type questions. Choose the correct option as:
(A) Both A and R are True, and R correctly explains A.
(B) Both A and R are True, but R does not correctly explain A.
(C) A is True, but R is False.
(D) A is False, but R is True.

[20] Assertion (A):. The output of print(df) and print(df.loc[:]) will be same for a DataFrame df.
Reason (R): The statement print(df.loc[:]) will display all rows and columns of the DataFrame df, thus showing the entire data.

[21] Assertion (A): The INSERT INTO command is a DML (Data Manipulation Language) command.
Reason (R): DML commands are used to insert, update or delete the data stored in a database.

Section B Short Answer Questions – 2 Marks Questions

[22] A. What is a DataFrame in Pandas? Mention any one property of DataFrame.

Ans.:

A DataFrame is a 2-Dimensional labeled data structure with rows and columns. The properties of dataframe are as follows:

  1. Labeled Axes – Both rows and columns have labels (index and column names).
  2. Heterogeneous Data – Each column can store data of different types (int, float, string, etc.).
  3. Size-Mutable – Rows and columns can be inserted or deleted.
  4. Data Alignment – Labels help align data automatically during operations.
  5. Built on Series – A DataFrame is essentially a collection of Pandas Series objects sharing the same index.
  6. Supports Missing Data – Can store NaN for missing values.

(1 mark for correct definition)
(1 mark for correct Property)

OR

List any two differences between Series and DataFrame in Pandas.

Ans.:

FeatureSeriesDataFrame
Dimension1-dimensional2-dimensional
StructureSingle column of data with labels (index)Tabular data with rows and multiple columns
Data TypesHolds only one data typeCan hold multiple data types (different columns can have different types)
IndexingSingle index (labels for rows)Row index + column labels
CreationCreated from lists, arrays, or dictionariesCreated from multiple Series or 2D structures like lists of lists, dict of lists, etc.
Shape(n,) → only length of rows(n, m) → rows × columns

(1 mark for each correct difference)

[23] What is e-waste? Mention any one impact of e-waste on the environment.

Ans.:

E-waste (electronic waste) refers to discarded electrical or electronic devices such as computers, mobile phones, TVs, and other gadgets.

Four impacts of e-waste on the environment:

  1. Soil contamination – Toxic metals like lead and cadmium seep into the soil, reducing fertility and harming microorganisms.
  2. Water pollution – Hazardous chemicals can leach into rivers, lakes, and groundwater, affecting aquatic life and drinking water quality.
  3. Air pollution – Burning e-waste releases harmful gases and fine particles, contributing to air pollution and respiratory problems.
  4. Harm to wildlife – Animals can ingest or get exposed to toxic elements, leading to poisoning, reproductive issues, or death.

(1 mark for correct definition)
(1 mark for correct impact)

[24] Ravi wants to create a Pandas Series as shown below:

Januray31
February28
March31

Help him in completing the code below to achieve the desired output.
Note: ser_data is a dictionary.

import _____ as pd
ser_data = _____
s = pd._____(ser_data)
print(s)

Ans.:

import pandas as pd
ser_data = {'January': 31, 'February': 28, 'March': 31}
s = pd.Series(ser_data)
print(s)

(1/2 mark for pandas)
(1 mark for dictionary)
(1/2 mark for Series)

[25] A. Rohan, a Class XII student, has written code for a website but is unsure how to make it available on the Internet. Explain to Rohan the role of a web server and web hosting in ensuring availability of his website on the internet.

Ans.:

Web Server – A web server is a computer or software that stores your website’s files (HTML, CSS, images, etc.) and delivers them to visitors when they type your site’s address in a browser. It processes requests from users and sends back the correct web pages.

Web Hosting – Web hosting is the service that provides space on a web server for your website’s files. Hosting companies rent out this space and ensure that your website is always online, accessible, and supported with necessary resources like bandwidth, storage, and security.

(1 mark for role of Web Sever)
(1 mark for role of Web Hosting)

OR

Explain the concept of VoIP and mention one benefit of using it.

Ans.:

VoIP (Voice over Internet Protocol) is a technology that lets you make voice and video calls over the Internet instead of traditional telephone networks.

Four benefits of using VoIP:

  1. Cost savings – Cheaper than traditional phone calls, especially for long-distance or international communication.
  2. Flexibility – Can be used on various devices like smartphones, computers, or IP phones from anywhere with an internet connection.
  3. Extra features – Offers services like video conferencing, voicemail to email, call forwarding, and group calls at no extra cost.
  4. Scalability – Easy to add more users or lines without major hardware setup.

(1 mark for correct definition)
(1 mark for correct benefit)

[26] Write SQL queries to perform the following:
I. Display the name of the day (e.g., Monday, Tuesday) for the date ‘2026-01-01’.
II. Find and display the position of the substring “India” in the string “Incredible India”

Ans.:

I. SELECT DAYNAME('2026-01-01');
II. SELECT INSTR('Incredible India', 'India');

(1 mark for each correct query)

[27] Define digital footprints. Differentiate between active and passive digital footprints.

Ans.:

Digital footprints are the traces or data you leave behind when you use the internet, such as browsing history, social media posts, online purchases, or information shared on websites.

Active Digital FootprintPassive Digital Footprint
Created when you deliberately share information online.Created without your direct intention or knowledge.
Example: Posting a photo on Instagram, writing a blog, or commenting on a post.Example: Websites tracking your location, cookies saving your browsing habits.
You have control over what is shared.You have little or no control over the data collected.
Can be easily managed or deleted by the user.Often harder to track and remove.

[28] A. Write the output of the following code:

import pandas as pd
students = pd.Series(['Abhay', 'Ananya', 'Javed'])
marks = pd.Series([85, 92, 88])
data = {'Name': students, 'Marks': marks}
df = pd.DataFrame(data)
df.rename(columns={'Name': 'StuName', 'Marks': 'Score'}, inplace=True)
print(df)

Ans.:

StuNameScore
0Abhay85
1Ananya92
2Javed88

(2 marks for correct output)

B. Write the output of the following code:

import pandas as pd
states = pd.Series(['Maharashtra', 'Gujarat', 'Kerala'])
capitals = pd.Series(['Mumbai', 'Gandhinagar', 'Thiruvananthapuram'])
data = {'State': states, 'Capital': capitals}
df = pd.DataFrame(data)
df.drop(index=1, inplace=True)
print(df)

Ans.:

StateCapital
0MaharashtraMumbai
1KeralaThiruvananthapuram

Watch this video to understand section B:

Section C Short answer questions – II 3 Marks Questions

[29] Rahul has recently invented a new type of solar-powered water purification system and is concerned about the possibility of someone illegally copying and selling his invention without his permission.
I. Explain Rahul the terms Intellectual Property & Intellectual Property Rights (IPR).
II. Under which specific category of IPR is Rahul’s invention covered?
III. Describe the importance of IPR in safeguarding innovations.

Ans.:

I. Explanation of Terms

  • Intellectual Property (IP):
    Intellectual Property refers to creations of the mind — such as inventions, designs, literary works, brand names, and logos — that have commercial value.
  • Intellectual Property Rights (IPR):
    IPR are the legal rights given to the creator or owner of intellectual property to protect it from unauthorized use. These rights allow the owner to control how their creation is used, reproduced, or sold.

II. Specific Category of IPR for Rahul’s Invention
Rahul’s solar-powered water purification system is an invention, so it is covered under the Patent category of IPR. A patent grants exclusive rights to make, use, and sell the invention for a certain period.

III. Importance of IPR in Safeguarding Innovations

  1. Legal protection – Prevents others from copying or using the invention without permission.
  2. Encourages innovation – Inventors feel motivated to create new products knowing they will be rewarded and protected.
  3. Economic benefit – The owner can license, sell, or commercialize the invention to earn revenue.
  4. Market advantage – Gives the inventor a competitive edge by ensuring exclusivity in the market.

(1 mark for each correct answer)

[30] A. Write a Python program to create a Pandas Series as shown below using a ndarray, where the subject names are the indices and the corresponding marks are the values in the series.

Mathematics85
Science90
English78
History88

Ans.:

import pandas as pd
import numpy as np
marks = np.array([85, 90, 78, 88])
series = pd.Series(marks, index=['Mathematics', 'Science', 'English', 'History'])
print(series)

(1 mark for correct import statement)
(1 mark for correct creation of ndarray)
(1 mark for correct creation of series)

OR

B. Write a Python program to create the Pandas DataFrame displayed below using a list of dictionaries.

CourseDuration
0Data Science12
1Artificial Intelligence18
2Web Development6

Ans.:

d1 = {'Course': 'Data Science', 'Duration': 12}
d2 = {'Course': 'Artificial Intelligence', 'Duration': 18}
d3 = {'Course': 'Web Development', 'Duration': 6}
data = [d1, d2, d3]
df = pd.DataFrame(data)
print(df)

(1 mark for correct import statement)
(1 mark for correct list of dictionaries)
(1 mark for correct creation of dataframe)

[31] I. Write an SQL statement to create a table named EMPLOYEES, with the following specifications:

Column NameData TypeKey
EmployeeIDNumericPrimary Key
EmpNameVarchar(25)
HireDateDate
Salary_in_LacsFloat(4,2)

II. Write an SQL Query to insert the following data into the EMPLOYEES table: 101, Ravi Kumar, 2015-06-01, 1.70
III. Write an SQL query to update the EmpName to ‘Rakesh’ for the employee with EmployeeID equal to 2.

Ans.:

I.
CREATE TABLE EMPLOYEES (
EmployeeID NUMERIC PRIMARY KEY,
EmpName VARCHAR(25),
HireDate DATE,
Salary_in_Lacs FLOAT(4,2)
);

II. 
INSERT INTO EMPLOYEES (EmployeeID, EmpName, HireDate, Salary_in_Lacs) VALUES (101, 'Ravi Kumar', '2015-06-01', 1.70);

III.
UPDATE EMPLOYEES SET EmpName = 'Rakesh' WHERE EmployeeID = 2;

(1 Mark for each correct Query)

Section D Competency Based Questions – 4 Marks questions

[32] Consider the following tables:

Table 1: STUDENT, which stores StudentID, Name, and Class.

StudentIDNameClass
1Ankit12
2Priya11
3Rohan12
4Shreya11
5Rehan12

Table 2: MARKS, which stores StudentID, Subject, and Score

StudentIDSubjectScore
1Mathematics85
2Physics78
3Chemistry88
4Biology81
5Computer Science93

Write appropriate SQL queries for the following:
I. List the names of students enrolled in Class 12, sorted in ascending order.
II. Display name of all subjects in uppercase where students scored more than 80 marks.
III. Display average score of students enrolled in subject Mathematics.
IV. Display the names of students along with their subject and Score.

Ans.:

I. SELECT Name FROM STUDENT WHERE Class = 12 ORDER BY Name ASC;

II. SELECT UPPER(Subject) FROM MARKS WHERE Score > 80;

III. SELECT AVG(Score) FROM MARKS WHERE Subject = 'Mathematics';

IV. SELECT Name, Subject, Score FROM STUDENT JOIN MARKS ON STUDENT.StudentID = MARKS.StudentID;

(1 mark for each correct query)

[33] Consider the DataFrame df shown below:

NameDepartmentSalary
0Rohan SharmaIT75000
1Meera KapoorHR68000
2Aarav SinghFinance85000
3Nisha SinghMarketing72000
4Aditya VermaIT80000

Write Python statements for the following tasks:
I. Print the last three rows of the DataFrame df.
II. Add a new column named “Experience” with values [5, 8, 10, 6, 7].
III. Delete the column “Salary” from the DataFrame.
IV. Rename the column “Department” to “Dept”.

Ans.:

I. 
print(df.tail(3)) OR print(df.iloc[-3:]) OR print(df[-3:]) OR df.values[-3:]

II.
df["Experience"] = [5, 8, 10, 6, 7] OR
df.insert(len(df.columns), "Experience", [5, 8, 10, 6, 7]) OR
df = df.assign(Experience=[5, 8, 10, 6, 7]) OR
df.loc[:, "Experience"] = [5, 8, 10, 6, 7] OR
df = pd.concat([df, pd.Series([5, 8, 10, 6, 7], name="Experience")], axis=1)

III. 
df.drop("Salary", axis=1, inplace=True) OR
del df["Salary"] OR
df.pop("Salary") OR
df = df.loc[:, df.columns != "Salary"]

IV.
df = df.rename(columns={"Department": "Dept"})

(1 mark for each correct answer)

[34] Rohan, a business analyst, is working on a Python program to create a line graph that represents the monthly revenue (in lakhs) of a company over five months. However, some parts of his code are incomplete. Help Rohan by filling in the blanks in the following Python program.

MONTHREVENUE (IN LACS)
January50
February65
March75
April80
May95
Q34 - CBSE Class 12 Informatics Practices sample paper 2026

Help Rohan to complete the code.

_____ as plt #Statement-1
Months = ['January', 'February', 'March', 'April', 'May']
Revenue = [50, 65, 75, 80, 95]
_____ #Statement-2
plt.xlabel('Months')
plt.ylabel('Revenue')
_____ #Statement-3
_____ #Statement-4
plt.legend()
plt.show()

I. Write the suitable code for the import statement in the blank space in the line marked as Statement-1.
II. Write the suitable code for the blank space in the line marked as Statement-2, which plots the line graph with the appropriate data and includes a label for the legend.
III. Fill in the blank in Statement-3 with the correct Python code to set the title of the graph.
IV. Fill in the blank in Statement-4 with the appropriate Python code to save the graph as an image file named monthly_revenue.png.

Ans.:

I. import matplotlib.pyplot
II. plt.plot(Months, Revenue, label=’Revenue (in Lacs’)
III. plt.title(‘Monthly Revenue Analysis’)
IV. plt.savefig(‘monthly_revenue.png’)

(1 mark for each correct answer)

[35] A. Raghav, who works as a database designer, has created a table Student as shown below:

Table : Student

StudentIDNameCityMarksAdmission_Date
101Aarav SharmaDelhi852022-04-01
102Priya IyerMumbai782021-05-15
103Rohan VermaBangalore922020-06-10
104Simran PatelDelhi882022-03-20
105Karan YadavMumbai752021-08-05

Write suitable SQL query for the following.
I. Show the Name and City of the students, both in uppercase, sorted alphabetically by Name.
II. Display the Student ID along with the name of the month in which the student was admitted to the school.
III. Calculate and display the average marks obtained by students.
IV. Show the names of the cities and the number of students residing in the city.

Ans.:

I. SELECT UPPER(Name), UPPER(City) FROM Student ORDER BY Name;

II. SELECT StudentID, MONTHNAME(Admission_Date) FROM Student;

III. SELECT AVG(Marks)FROM Student;

IV. SELECT City, COUNT(*) FROM Student GROUP BY City;

(1 mark for each correct query)

B. Consider the following table and write the output of the following SQL Queries.
Table : Student

StudentIDNameDateofBirthMarksCity
301Aryan15-03-200588Delhi
302AyeshaNULL90NULL
304AditiNULL85Pune
305Rajesh11-01-200672NULL
306Maria29-04-200595Chennai

Write the output of the following SQL Queries.
I. SELECT Name, LENGTH(Name) FROM Student WHERE StudentID < 303;
II. SELECT lower(Name) FROM Student WHERE MONTH(DateofBirth)= 3;
III. SELECT AVG(Marks) FROM Student;
IV. SELECT Name, Marks FROM Student WHERE Marks BETWEEN 90 AND 100;

Ans.:

I.
Name         LENGTH(Name)
--------    -------------------
Aryan                         5    
Ayesha                        6

II.
lower(name)
-----------------------
aryan

III.
AVG(marks)
---------------------
                86.0

IV.
Name           Marks
-----------   ---------
Ayesha              90 
Maria               95            

(1 mark for each correct output)

Section E – Long answer questions (5 marks questions)

[36] ABC Pvt Ltd. is a leading global IT solutions provider. The company’s head office is located in Mumbai while its Regional Office is in Jaipur. The Mumbai office consists of four departments: Administration, Sales, Development, and Support.

CBSE Class 12 Informatics Practices sample paper - Q36 Networking questions

The distances between these departments, as well as between Mumbai and Jaipur, are as follows:

Administration to Sales60 Meters
Administration to Development90 Meters
Administration to Support120 Meters
Sales to Development50 Meters
Sales to Support70 Meters
Development to Support45 Meters
Mumbai Office to Jaipur Office1400 Kilometers

The number of computers in each department/office is as follows:

Administration120
Sales40
Development70
Support25
Jaipur Office50

As a network engineer, you have to propose solutions for various queries listed from I to V.
I. Suggest the most suitable department in the Mumbai Office Setup, to install the server. Also, give a reason to justify your suggested location.
II. Draw a suitable cable layout of wired network connectivity between the departments in the Mumbai Office.
III. Which hardware device will you suggest to connect all the computers within each department?
IV. Suggest the most appropriate type of network (LAN, MAN, WAN) to connect the Mumbai Head Office and Jaipur Regional Office.
V. When a signal is transmitted through a wire from Administration department to Support department, its strength reduces. Which device would you suggest the company use to solve this problem?

Ans.:

I. The server should be installed in the Administration department as it has the most number of computers.

II. Cable Layout

Cable layout Q36 - II CBSE Class 12 Informatics Practices sample paper

III. Switch/Hub

IV. WAN (Wide Area Network), as the offices are located in different cities.

V. Repeater

(1 mark for each correct answer)

[37] A. Write suitable SQL query for the following:

I. To extract the first five characters from the product_code column in the Products table.
II. To count and display the total number of orders from Order_Id column in the Orders table.
III. To display the year of the order dates from the order_date column in the Orders table.
IV. To display the Address column from the Customers table after removing leading and trailing spaces.
V. To display the current date.

Ans.:

I. 
select substr(product_code,1,5) from products; OR
select mid(product_code, 1,5) from products OR
selec left(product_code,5) from products

II.
select count(orderid) from orders;

III.
select year(order_date) from orders;

IV. 
select trim(address) from customer;

V. 
select date(now()); OR
select current_date() OR
select date(sysdate()) OR
select curdate()

( 1 mark for each correct query)

OR

B. Write suitable SQL query for the following:
I. To display the total number of characters in the string DatabaseSystems.
II. Find the position of the first occurrence of the letter ‘a’ in the Product_Name column of the Products table.
III. Calculate the square of the Amount for each transaction in the Tran_Amount column of the Transactions table.
IV. To display the average salary from the Salaries column in the Employees table.
V. Display the total sum of the Salary from the Salary column in the Employees table.

Ans.:

I. 
select length("Database Systems");

II.
select instr(product_name,'a') from products;

III. 
SELECT POWER(Tran_Amount, 2) FROM Transactions;

IV. 
SELECT AVG(Salaries) FROM Employees;

V. 
SELECT SUM(Salary) FROM Employees;

1 mark for each correct query

Tips to Score 70/70 in Informatics Practices Class 12

  1. Practice past year papers and the latest sample paper repeatedly.
  2. Revise Python Pandas & SQL commands daily.
  3. Memorise important syntax with examples.
  4. Attempt case study questions under timed conditions.
  5. Use marking scheme PDFs to learn how CBSE awards marks.

Final Words on CBSE Class 12 Informatics Practices sample paper

The CBSE Class 12 Informatics Practices sample paper is your best guide for understanding the exam pattern and improving your preparation. Start solving it now, check your answers against the official marking scheme, and track your improvement.

FAQs – CBSE Class 12 Informatics Practices sample paper

1. Where can I download CBSE Class 12 Informatics Practices Sample Paper 2026?

You can download the official CBSE Class 12 Informatics Practices Sample Paper 2026 from the CBSE academic website (cbseacademic.nic.in) along with the marking scheme in PDF format.

2. What is the exam pattern for CBSE Class 12 Informatics Practices 2026?

The theory paper is 70 marks, and the practical is 30 marks. The paper includes short answer, long answer, and application-based questions on topics like Python programming, Pandas, SQL queries, data visualization, and cybersecurity.

3. Does the CBSE sample paper include solutions?

The official sample paper comes with a marking scheme, which explains correct answers and the marking distribution. For detailed step-by-step solutions, you can refer to educational platforms and teacher-made answer keys.

4. Are previous years’ sample papers useful for CBSE Class 12 IP preparation?

Yes! Solving previous years’ papers helps you understand recurring question patterns, improve speed, and build confidence for the final exam.

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