CBSE Sample Papers for Class 12 AI Set 2 with Solutions

Students must start practicing the questions from Class 12 AI Important Questions and CBSE Sample Papers for Class 12 AI Set 2 are designed as per the revised syllabus.

CBSE Sample Papers for Class 12 AI Set 2 with Solutions

Max. Time: 2 Hours
Max.Marks:50

General Instructions:

1. Please read the instructions carefully.
2. This Question Paper consists of 21 questions in two sections: Section A & Section B.
3. Section A has Objective type questions whereas Section B contains Subjective type questions.
4. 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.
5. All questions of a particular section must be attempted in the correct order.
6. SECTIONA-OBJECTIVE TYPE QUESTIONS (24MARKS):
i. This section has o5 questions.
ii. Mavks allotted are mentioned against each question/part.
iii. There is no negative marking.
iv. Do as per the instructions given.
7. SECTIONB -SUBJECTIVE TYPE QUESTIONS (26 MARKS):
i. This section has 16 questions.
ii. A candidate has to do 10 questions.
iii. Do as per the instructions given.
iv. Marks allotted are mentioned against each question/part.

SECTION-A

Objective type Questions:

Question 1.
Answer any 4 out of the given 6 questions on Employability Skills (1 x 4 = 4 marks)

i. Self-motivation is important because
1. It increases individual’s energy and activity.
2. It directs an individual towards specific goals.
3. It results in initiation and persistence of specific activities
4. It affects cognitive processes and learning strategics used for completing similar tasks.
a). Only 1
b). Both 1 and 2
c). 1, 3 and iv
d). All of the above
Answer:
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
Answer:
b) An opportunity

iii. ________ Is the command to select the entire worksheet:
a) CTRL + O
b) CTRL + A
c) CTRL + C
d) CTRL + Z
Answer:
b) CTRL + A

iv. Which of the following factors influence personality?
e) Genes
f) Environmental setting
g) Culture
h) All of the above
Answer:
h) All of the above

v. A competent person is
i) Self-confident
j) Emotional
k) Dependent
I) Lazy
Answer:
i) Self-confident

vi. Which software helps in performing calculations using formulae and in analyzing the data?
a) Microsoft Outlook
b) CommCentral
c) Range
d) Open office
Answer:
All of the above

Question 2.
Answer any 5 0ut of the given 6 questions (1 × 5 = 5 marks)

i. In Design Thinking, _______ phaseinvolvesgatheringuserfeedbackontheprototypesyou’v ecreatedaswell as obtaining a better understanding of you r users.
a) Prototype
b) Test
c) Ideate
d) Empathize
Answer:
b) Test

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
Answer:
(c) Understanding the Audience

iii. Match the following

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
Answer:
a)

iv. Identify two AI development tools from the following:
1) Data Robot
2) Python
3) Scikit Learn
4) Wats on Studio
(a) 1 \ 2
(b) 2 \ 3
(c) 1 \ 3
(d) 1 \ 4
Answer:
(d) 1 \ 4

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
Answer:
(b) MSE

vi. The design phase of the AI Model Life Cycle is an ________
(a) compact
(b) permanent
(c) periodic
(d) iterative
Answer:
(d) iterative

Question 3.
Answer any 5outofthegiven6 questions (1 × 5 = 5 marks)

i. Techniqueslikedescriptivestatisticsandvisualisationscanbeappliedtodatasetsafter 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
Answer:
(c) Data Understanding

ii. Stories create ________ experiences that transport the audience to another space and time.
(a) unpleasant
(b) tedious
(c) repetitive
(d) engaging
ins.
(d) engaging

iii. In this phase, we define the project’s strategic business objectives and desired out comes, align all stake holders’expectations aswell as establish success metrics. Identify this phase of the AI Model Life Cycle.
(a) Design
(b) Scoping
(c) Evaluation
(d) Data Collection
Answer:
(b) Scoping

iv. Assertion (A): Stories that combine statistics and analytics are more persuasive.
Reason (R): When we talk about data story telling, we’re talking about stories in which data plays a central role.
Select the appropriate option forth e statements given above:
a. Both A and R are true and R is the correct explanation of A
b. Both A and Rare 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
Answer:
b. Both A and Rare true and R is not the correct explanation of A

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.
Answer:
-V

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
Answer:
(c) Deploy

Question 4.
Answer any 5 out of the given 6 questions (1 × 5 = 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
Answer :
(d) Testing

ii. Identify the following icons:
(a)

(b)

Answer:
(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 generalize to anew 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.
Answer:
(c) As we need to train on many training sets, cross-validation is computationally expensive.

iv. Hyper parameters are parameters whose values govern the learning process.
(a) True
(b) False
Answer:
(a) True

v. The steps that assist in finding compelling stories in the data sets are as follows. Arrange the min proper order:
1) Visualize the data.
2) Examined at a relationships.
3) Get the data and organize it.
4) Create a simple narrative embedded with conflict.
(a) 1-2-3-4
(b) 2-3-1-4
(c) 4-1-3-2
(d) 3-1-2-4
Answer:
(d) 3-1-2-4

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.
Answer:
(a) Regression functions predict a quantity, and classification functions predict a label.

Question 5
Answer any 5 out of the given 6 questions (1 × 5 = 5marks)

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
Answer:
(d) facts

ii. A good model should have an ________ value less than 180 .
(a) RMSE
(b) MSE
(c) Focal Loss
(d) MAE
Answer:
(a) RMSE

iii. Which of the following is incorrect?
1) Testing data is the one on which wet rain and fit our model basically to fit the parameters
2) Training data is used only to assess performance of model
3) Testing data is the unseen data for which prediction shave to be made
a) 1) and 3) only
b) 1) and 2) only
c) 2) and 3) only
d) 1), 2) and 3)
Answer:
b) 1) and 2) only

iv. Choose an example of an AI predictive model.
(a) YouTube
(b) Spam detection
(c) weather forecast
(d) Sentiment Analysis
Answer:
(c) weather forecast

v. Which of the following are the objectives of the testing team in AI modelling?
1) Model Validation
2) Security compliance
3) Under standing data
4) Minimizing bias
a. (1),(2) and (3)
b. (2),(3) and (4)
c. (1),(3) and(4)
d. (1),(2) and (4)
Answer:
d. (1),(2) and (4)

vi.
If AI techniques are to be applied to a data set, the data must have a
a. association
b. relationship
c. pattern
d. Either a and b
Answer:
c. pattern

SECTION – B

Subjective type Questions:

Answer any 3 out of the given 5 questions on Employability Skills (2 × 3 = 6 marks)
Answer cach question in 20-30 words.

Question 6.
Why is self-management important? Give one example.
Answer:
Self-management abilities are crucial for demonstrating your dependability as an employee. Those without these abilities could be unpredictable, which can make an employer uneasy. For instance, when someone struggles to regulate their emotions, they may lash out at a customer or say nasty things to a coworker.

Question 7.
Define any two of the following personality disorders
a. Paranoid
Answer:
Paranoid personality disorder (PPD) is a mental health condition marked by a pattern of distrust and suspicion of others without adequate reason to be suspicious. People with PPD are always on guard, believing that others are constantly trying to demean, harm or threaten them.

b.Anti-social
Answer:
Antisocial personality disorder is a particularly challenging type of personality disorder characterized by impulsive, irresponsible and often criminal behavior.
Someone with antisocial personality disorder will typically be manipulative, deceitful and reckless, and will not care for other people’s feelings.

c. Obsessive Compulsive
Answer:
Obsessive-Compulsive Disorder (OCD) is a common, chronic, and long-lasting disorder in which a person has uncontrollable, reoccurring thoughts cobsessions) and/or behaviors (compulsions) that he or she feels the urge to repeat over and over.

Question 8.
Mention two steps in which we can save a workbook.
Answer:
Ctrl+s
File→Save

Question 9.
What are entrepreneurial skills?
Answer:
Entrepreneurial skills are those that are typically related to being an entrepreneur, though anyone can acquire them. Though starting and growing a successful firm on your own is typically the definition of being an entrepreneur, those with entrepreneurial qualities can also succeed in more established businesses.

Question 10.
Name two qualities of a person with entrepreneurial skills. Explain in a sentence
each.
Answer:
1. Recognition of an opportunity
Do you know when to seize an opportunity? New possibilities are continuously presented to us in our life, but the majority of us are typically too fearful or preoccupied to see them. We see them as issues instead. An effective entrepreneur can analyze a situation and see how a viable solution might be developed.

2. Take action
But merely recognizing opportunities is insufficient. A true businessperson has the courage to act, frequently without any prior experience or frame of reference.
Instead than waiting for someone else to fix a problem they care about, they can independently and pro-actively address it.

Answer any 4 out of the given 6 questions in 20-30 words each (2 × 4 = 8 marks)

Question 11.
Define capstone project.
Answer:
A capstone project is a task that requires students to conduct independent research on a subject in order to gain a thorough understanding of it. It offers the student the chance to put all of their knowledge together and show it through an extensive project.

Question 12.
Can MisE be a negative value? Give reasons.
Answer:
The MSE value cannot be negative. The difference between projected and actual values are always squared. As a result, all outcomes are either positive or negative.

Question 13.
What is the importance of a narrative in a story?
Answer:
Stories are more likely to drive action than are statistics and numbers. Therefore, when told in the form of a narrative, it reduces ambiguity, connects data with context, and describes a specific interpretation – communicating the important messages in most effective ways.

Question 14.
Imagine that you want to create your first app. Create a list of questions you would Develop to decompose this task.
Answer:
To decompose this task, you would need to know the answer to a series of smaller problems: what kind of app you want to create?

• what will your app will look like?
• who is the target audience for your app?
• what will the graphics will look like?
• what audio will you include?

Question 15.
Differentiate between training set and test set.
Answer:
A training set is a set of historical data in which the outcomes are already known. Train Dataset: Used to fit the machine learning model. Test Dataset: Used to evaluate the fit machine learning model.

Question 16.
“Oncetherelevantprojectshavebeenselectedandproperlyscoped,thenextstep Of the machine learning lifecycle is the Design or Build phase.”Briefly explain this phase.
Answer:
The Design phase is essentially an iterative process comprising all the steps relevant to building the AI or machine learning model: data acquisition, exploration, preparation, cleaning, feature engineering, testing and running a set of models to try to predict behaviors or discover insights in the data.

Answer any 3 out of the given 5 questions in 50-80 words each (4 × 3 = 12 marks)

Question 17.
Explain how data storytelling can bring about change using a diagram.
Answer:
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.

Consider the following data

Question 18.

Regression Equation: 0.7x+17.8
Calculate the RMSE (Root means Square Error)for the above data.
Answer:

Question 19.
Listtheconsiderationswhichdatascientistshavetokeepinmindduringthetesting stage.
Answer:
Considerations:

The volume of test data can be large, which presents complexities.
Human biases in selecting test data can adversely impact the testing phase, therefore, data validation is important.
Your testing team should test the AI and ML algorithms keeping model validation, successful learn ability, and algorithm effectiveness in mind
Regulatory compliance testing and security testing are important since the system might deal with sensitive data, moreover, the large volume of data makes performance testing crucial.

Question 20.
Explain the Cross Validation Procedure? In which situation is it better than a Train Test Split?
Answer:
In cross-validation, we run our modeling process on different subsets of the data to get multiple measures of model quality. In k-fold cross-validation, the original dataset is equally divided into k subparts or folds. Out of the k -folds, for each iteration, one group is selected as test data, and the remaining (k-1) groups are selected as training data. This process is repeated for k times. The final accuracy of the model is calculated by taking the mean accuracy. When the dataset is smaller, cross-validation procedure should be selected for higher accuracy.

Question 21.
(a) List the steps of creating an effective data story.
(b) Which of the following is a better data story? Give reasons.
Option A:

Option B:

Answer:
(a) The steps involved in telling an effective data story are given below:

• Understanding the audience
• Choosing the right data and visualizations
• Drawing attention to key information
• Developing a narrative
• Engaging your audience

(b) Option A is a better data story.
Reasons:

1. The insight given at the bottom of the visual is giving a clear idea about context which is not there in Option B.
2. Option A visual provides a compelling narrative.

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