Preparing for board exams becomes much easier when students practice with authentic resources like CBSE Class 12 Artificial Intelligence 843 Sample Question Paper 2022-23 with complete solution. Sample papers and previous year CBSE board question papers play a crucial role in pre-board and final exam preparation as they give students a clear understanding of the latest CBSE exam pattern for Class 12 Artificial Intelligence (Code 843). By solving these papers, students can identify important topics, improve time management, and gain confidence in attempting different types of questions such as case-based, competency-based, and objective questions.
Moreover, practicing with a CBSE Class 12 AI 843 solved sample paper 2022-23 PDF download helps students analyze their performance and understand the marking scheme in detail. These resources are especially useful for revision, as they highlight frequently asked questions and important concepts from units like Entrepreneurial Skills, Green Skills, Data Storytelling etc. as per Class 12 AI Latest Syllabus. Regular practice with previous year question papers of Class 12 Artificial Intelligence with answers not only boosts accuracy but also helps students avoid common mistakes, ensuring better performance in both pre-board exams and the CBSE board examination.
CBSE Class 12 AI 843 Sample QP 2022-23 with Solution
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The Year-Wise CBSE Class 12 Artificial Intelligence (843) Pre-Board and Sample Question Papers with Solutions are provided at the bottom of this post.
CBSE Class 12 AI 843 Sample Question Paper Session (2022-23)
CBSE | DEPARTMENT OF SKILL EDUCATION
ARTIFICIAL INTELLIGENCE (SUBJECT CODE - 843)
Sample Question Paper (SQP) Solution for Class XII (Session 2022-2023)
Max. Time: 2 Hours
Max. Marks: 50
General Instructions:
- Please read the instructions carefully.
- This Question Paper consists of 21 questions in two sections: Section A & Section B.
- Section A has Objective type questions whereas Section B contains Subjective type questions.
- Out of the given (5 + 16 =) 21 questions, a candidate has to answer (5 + 10 =) 15 questions in the allotted (maximum) time of 2 hours.
- All questions of a particular section must be attempted in the correct order.
- SECTION A - OBJECTIVE TYPE QUESTIONS (24 MARKS):
- This section has 05 questions.
- Marks allotted are mentioned against each question/part.
- There is no negative marking.
- Do as per the instructions given.
- SECTION B – SUBJECTIVE TYPE QUESTIONS (26 MARKS):
- This section has 16 questions.
- A candidate has to do 10 questions.
- Do as per the instructions given.
- Marks allotted are mentioned against each question/part.
SECTION A - OBJECTIVE TYPE QUESTIONS
Q.1 Answer any 4 out of the given 6 questions on Employability Skills. (1X4=4 Marks)
i. Self-motivation is important because
(i) It increases individual’s energy and activity.
(ii) It directs an individual towards specific goals.
(iii) It results in initiation and persistence of specific activities
(iv) It affects cognitive processes and learning strategies used for completing similar tasks.
a) Only (i)
b) Both (i) and (ii)
c) (i), (iii) and (iv)
d) All of the above
ii. For an entrepreneur, aversion to risk is:
a) A failure
b) An opportunity
c) A psychological barrier
d) An initiative
iii. _______ is the command to select the entire worksheet:
a) CTRL + O
b) CTRL + A
c) CTRL + C
d) CTRL + Z
iv. Which of the following factors influence personality?
a) Genes
b) Environmental setting
c) Culture
d) All of the above
v. A competent person is:
a) Self-confident
b) Emotional
c) Dependent
d) Lazy
vi. Which software helps in performing calculations using formulae and in analyzing the data?
a) Microsoft Outlook
b) Comm Central
c) Range
d) OpenOffice Calc
Q.2 Answer any 5 out of the given 6 questions. (1X5=5 Marks)
i. In Design Thinking, ____ phase involves gathering user feedback on the prototypes you've created as well as obtaining a better understanding of your users.
a) Prototype
b) Test
c) Ideate
d) Empathize
ii. _______ is the first step involved in telling an effective data story.
a) Creating visuals
b) Adding narrative
c) Understanding the Audience
d) Gathering data
iii. Match the following
| 1. Which category? | A. (Anomaly Detection) |
| 2. How much or how many? | B. (Regression) |
| 3. Which group? | C. (Recommendation) |
| 4. Is this unusual? | D. (Classification) |
| 5. Which option should be taken? | E. (Clustering) |
a) 1=D, 2=B, 3=E, 4=A, 5=C
b) 1=C, 2=D, 3=B, 4=E, 5=A
c) 1=D, 2=B, 3=C, 4=E, 5=A
d) 1=E, 2=A, 3=D, 4=C, 5=B
iv. Identify two AI development tools from the following:
(i) DataRobot (ii) Python (iii) Scikit Learn (iv) Watson Studio
a) (i) & (ii)
b) (ii) & (iii)
c) (i) & (iii)
d) (i) & (iv)
v. You want to predict future house prices. The price is a continuous value, and therefore we want to do regression. Which loss function should be used here?
a) RMSE
b) MSE
c) Exponential error
d) MAE
vi. The design phase of the AI Model Life Cycle is an ______ process.
a) compact
b) permanent
c) periodic
d) iterative
Q.3 Answer any 5 out of the given 6 questions. (1X5=5 Marks)
i. Techniques like descriptive statistics and visualisations can be applied to datasets after the original data gathering to analyse the content. To close the gap, additional data collecting may be required. Identify the stage of this analytic approach.
a) Data Requirements
b) Data Gathering
c) Data Understanding
d) Data Preparation
ii. Stories create _______ experiences that transport the audience to another space and time.
a) unpleasant
b) tedious
c) repetitive
d) engaging
iii. In this phase, we define the project's strategic business objectives and desired outcomes, align all stakeholders' expectations as well as establish success metrics. Identify this phase of the AI Model Life Cycle.
a) Design
b) Scoping
c) Evaluation
d) Data Collection
iv. Assertion (A): Stories that combine statistics and analytics are more persuasive.
Reason (R): When we talk about data storytelling, we're talking about stories in which data plays a central role.
Select the appropriate option for the statements given above:
a) Both A and R are true and R is the correct explanation of A
b) Both A and R are true and R is not the correct explanation of A
c) A is true but R is false
d) A is False but R is true
v. Which of the following is not a feature of RMSE?
a) It tells about the accuracy of the model
b) Higher value means hyper parameters need to be tweaked
c) Lower RMSE values are not good for the AI model
d) RMSE is a measure of how evenly distributed residual errors are
vi. Once you have got an AI model that's ready for production, AI engineers then ____ a trained model, making it available for external inference requests.
a) Evaluate
b) Test
c) Deploy
d) Redesign
Q.4 Answer any 5 out of the given 6 questions. (1X5=5 Marks)
i. Data Validation for human biases is conducted in _________ phase of AI Model Life Cycle.
a) Scoping
b) Data Collection
c) Design
d) Testing
ii. Identify the following icons:
Ans: (a) Narrative (b) Data
iii. Which of the following is a disadvantage of Cross Validation Technique?
a) Cross-validation provides insight into how the model will generalise to a new dataset
b) Cross-validation aids in determining a more accurate model prediction performance estimate
c) As we need to train on many training sets, cross-validation is computationally expensive
d) Cross-validation could result in more precise models
iv. Hyper parameters are parameters whose values govern the learning process.
a) True
b) False
v. The steps that assist in finding compelling stories in the data sets are as follows. Arrange them in proper order:
(i) Visualize the data.
(ii) Examine data relationships.
(iii) Get the data and organise it.
(iv) Create a simple narrative embedded with conflict.
a) (i)-(ii)-(iii)-(iv)
b) (ii)-(iii)-(i)-(iv)
c) (iv)-(i)-(iii)-(ii)
d) (iii)-(i)-(ii)-(iv)
vi. Choose the difference between Regression and Classification Loss functions from the following:
a) Regression functions predict a quantity, and classification functions predict a label
b) Regression functions predict a label, and classification functions predict a quantity
c) Regression functions predict a qualitative value, and classification functions predict a label
d) Regression functions predict a label, and classification functions predict a qualitative value
Q.5 Answer any 5 out of the given 6 questions. (1X5=5 Marks)
i. Stories change the way that we interact with data, transforming it from a dry collection of ______ to something that can be entertaining, thought provoking, and inspiring change.
a) visuals
b) points
c) images
d) facts
ii. A good model should have an _____ value less than 180.
a) RMSE
b) MSE
c) Focal Loss
d) MAE
iii. Which of the following is incorrect?
(i) Testing data is the one on which we train and fit our model basically to fit the parameters
(ii) Training data is used only to assess performance of model
(iii) Testing data is the unseen data for which predictions have to be made
a) (i) and (iii) only
b) (i) and (ii) only
c) (ii) and (iii) only
d) (i), (ii) and (iii)
iv. Choose an example of an AI predictive model.
a) YouTube
b) Spam detection
c) weather forecast
d) Sentiment Analysis
v. Which of the following are the objectives of the testing team in AI modelling?
(i) Model Validation
(ii) Security compliance
(iii) Understanding data
(iv) Minimizing bias
a) (i), (ii) and (iii)
b) (ii), (iii) and (iv)
c) (i), (iii) and (iv)
d) (i), (ii) and (iv)
vi. If AI techniques are to be applied to a dataset, the data must have a _______.
a) association
b) relationship
c) pattern
d) Either a and b
SECTION B - SUBJECT TYPE QUESTIONS
Answer any 3 out of the given 5 questions on Employability Skills. (2x3=6 Marks)
Answer each question in 20-30 words.
Q.6 Why is self-management important? Give one example.
Ans: Self-management is important because it helps a person control their behavior, emotions, and time, making them reliable and responsible.
Example: If a person controls their anger and stays calm while dealing with a customer, they show good self-management.
Q.7 Define any two of the following personality disorders
(a) Paranoid
Ans: It is a mental disorder in which a person has constant distrust and suspicion of others without any strong reason.
(b) Anti-social
Ans: It is a disorder where a person shows irresponsible, impulsive, and harmful behavior and does not care about others’ feelings.
(c) Obsessive Compulsive
Ans: It is a disorder in which a person has repeated unwanted thoughts (obsessions) and feels forced to perform certain actions again and again (compulsions).
Q.8 Mention two steps in which we can save a workbook.
Ans: Step 1: Click on the File menu.
Step 2: Select Save or Save As, choose the location, and click Save.
OR
Press Ctrl + S on the keyboard.
Q.9 What are entrepreneurial skills?
Ans: Entrepreneurial skills are the abilities that help a person start, manage, and grow a business successfully. These skills can also be useful in jobs within organizations.
Q.10 Name two qualities of a person with entrepreneurial skills. Explain in a sentence each.
Ans: (i) Creativity: An entrepreneur uses new and innovative ideas to solve problems or create products.
(ii) Risk-taking: An entrepreneur is willing to take calculated risks to achieve success in business.
Answer any 4 out of the given 6 questions in 20-30 words each. (2x4=8 Marks)
Q.11 Define capstone project.
Ans: A capstone project is a project in which students independently research a topic to gain a deep understanding of the subject. It allows them to integrate their knowledge and demonstrate it through a comprehensive project.
Q.12 Can MSE be a negative value? Give reasons.
Ans: No, MSE (Mean Squared Error) cannot be negative because the differences between actual and predicted values are squared. Squaring always gives a non-negative value (zero or positive), so MSE is always zero or positive.
Q.13 What is the importance of a narrative in a story?
Ans: A narrative is important because it helps present information in a clear and meaningful way. It connects data with context, reduces confusion, and makes the message more effective and easy to understand.
Q.14 Imagine that you want to create your first app. Create a list of questions you would develop to decompose this task.
Ans: To decompose the task of creating an app, we can ask these questions:
What kind of app do I want to create?
What will the app look like (design/interface)?
Who is the target audience?
What graphics will be used?
What audio or features will be included?
Q.15 Differentiate between training set and test set.
Ans: Training Set: It is the dataset used to train the machine learning model. It contains data with known outcomes.
Test Set: It is the dataset used to evaluate the performance of the trained model on new, unseen data.
Q.16 “Once the relevant projects have been selected and properly scoped, the next step of the machine learning lifecycle is the Design or Build phase.” Briefly explain this phase.
Ans: The Design (or Build) phase is an iterative process where the machine learning model is developed. It includes steps like data collection, data cleaning, preparation, feature engineering, and testing different models to find the best results.
Answer any 3 out of the given 5 questions in 50-80 words each. (4x3=12 Marks)
Q.17 Explain how data storytelling can bring about change using a diagram.
Ans: Data storytelling is a structured approach for communicating insights drawn from data, and invariably involves a combination of three key elements: data, visuals, and narrative. When the narrative is accompanied with data, it helps to explain the audience what’s happening in the data and why a particular insight has been generated. When visuals are applied to data, they can enlighten the audience to the insights that they wouldn’t perceive without the charts or graphs.
Finally, when narrative and visuals are merged together, they can engage or even entertain an audience. When you combine the right visuals and narrative with the right data, you have a data story that can influence and drive change.
Q.18 Consider the following data
| x | y |
|---|---|
| 44 | 47 |
| 46 | 48 |
| 48 | 55 |
| 50 | 58 |
| 52 | 49 |
Regression Equation: 0.7x + 17.8
Calculate the RMSE(Root means Square Error) for the above data.
Ans: Calculate predicted values (ŷ = 0.7x + 17.8)
x=44 → ŷ=48.6
x=46 → ŷ=50.0
x=48 → ŷ=51.4
x=50 → ŷ=52.8
x=52 → ŷ=54.2
Calculate squared errors (y − ŷ)²
(47 − 48.6)² = 2.56
(48 − 50)² = 4
(55 − 51.4)² = 12.96
(58 − 52.8)² = 27.04
(49 − 54.2)² = 27.04
MSE = (2.56 + 4 + 12.96 + 27.04 + 27.04) / 5 = 14.72
RMSE = √14.72 ≈ 3.84
Q.19 List the considerations which data scientists have to keep in mind during the testing stage.
Ans:
- The test data can be large, making testing complex.
- Human bias in selecting test data should be avoided; proper data validation is important.
- The model should be tested for accuracy, learning ability, and effectiveness.
- Security, performance, and regulatory compliance should be checked, especially when handling sensitive data.
Q.20 Explain the Cross Validation Procedure? In which situation is it better than a Train Test Split?
Ans: Cross-validation is a technique used to evaluate a model by dividing the dataset into multiple parts. In k-fold cross-validation, the data is split into k equal folds. In each iteration, one fold is used as test data and the remaining (k–1) folds are used for training. This process is repeated k times, and the final performance is calculated by taking the average of all results.
When is it better than Train-Test Split?
Cross-validation is better when the dataset is small, as it uses all data for both training and testing, giving more reliable and accurate results.
Q.21 (a) List the steps of creating an effective data story.
Ans: The steps involved in telling an effective data story are given below:
Step 1: Understanding the audience
Step 2: Choosing the right data and visualisations
Step 3: Drawing attention to key information
Step 4: Developing a narrative
Step 5: Engaging your audience
(b) Which of the following is a better data story? Give reasons.
Option A:
Option B:
Ans: Option A is a better data story.
Reasons: (i) The insight given at the bottom of the visual is giving a clear idea about context which is not there in Option B.
(ii) Option A visual provides a compelling narrative.
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