PRACTICE PAPER–1

CLASS XII
ARTIFICIAL INTELLIGENCE (CODE 843)
Maximum Time: 2 Hours Maximum 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. SECTION A - OBJECTIVE TYPE QUESTIONS (24 MARKS):
(a) This section has 5 questions.
(b) Marks allotted are mentioned against each question/part.
(c) There is no negative marking.
(d) Do as per the instructions given.
7. SECTION B – SUBJECTIVE TYPE QUESTIONS (26 MARKS):
(a) This section has 16 questions.
(b) A candidate has to do 10 questions.
(c) Do as per the instructions given.
(d) Marks allotted are mentioned against each question/part.

SECTION A — OBJECTIVE TYPE QUESTIONS

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

(i) Which of the following is a spreadsheet software?
(a) Microsoft Word (b) Microsoft Excel
(c) Microsoft PowerPoint (d) Microsoft Access
(ii) What competency involves effectively managing time and resources to achieve goals?
(a) Technical Proficiency (b) Social Awareness
(c) Organizational Skills (d) Creative Thinking
(iii) The file extension of MS Excel spreadsheet is:
(a) .xls / xlsx (b) .doc / docx
(c) .pdf / pdfx (d) .ppt / pptx
(iv) A positive attitude is defined by ________.
(a) Pessimism, fragility and apathy
(b) Cynicism, indifference and negativity
(c) Optimism, resilience and constructive outlook
(d) Doubtful, hopelessness and disengagement
(v) What is perseverance?
(a) It is the ability to stop doing something when faced with difficulties.
(b) It is the willingness to give up when challenges arise.
(c) It is the persistence to continue despite difficulties.
(d) It is the tendency to avoid challenging situations altogether.
(vi) To which cluster do the characteristics of being anxious, fearful and avoidant belong?
(a) Cluster D (b) Cluster C
(c) Cluster B (d) Cluster A

Practice Paper–1 A.1

 2. Answer any 5 out of the given 6 questions. (1 x 5 = 5 marks)
(i) Match the following:
Part 1 Part 2
(i) Who (a) Importance
(ii) What (b) Stakeholders
(iii) Where (c) Problem Definition
(iv) Why (d) Context of Problem
(a) I-B, II-D, III-A, IV-C (b) I-D, II-C, III-B, IV-A
(c) I-B, II-D, III-C, IV-A (d) I-B, II-C, III-D, IV-A
(ii) ________ is an example of a Data Visualization tool.
(iii) Why is continuous monitoring crucial after deploying an AI model?
(a) To increase data collection
(b) To adapt to changing data and maintain performance
(c) To enhance the graphical user interface
(d) To prepare for the next model
(iv) What does CRISP-DM stand for?
(a) Comprehensive Resource for Integrating Statistical Procedures in Data Mining
(b) Cross-Industry Standard Process for Data Mining
(c) Continuous Integrated Statistical Processes in Data Management
(d) Core Interdisciplinary Statistical Practices in Data Mining
(v) Labelling a target variable is known as ________.
(a) Classification Problem (b) Clustering Problem
(c) Regression Problem (d) Time-series Forecasting
(vi) What is the primary difference between RMSE and MAE?
(a) RMSE squares the errors before taking a root averaging but MAE doesn’t.
(b) MAE squares the errors before averaging but RMSE doesn’t.
(c) RMSE measures the average magnitude of errors but MAE doesn’t.
(d) MAE measures the square root of the average of squared differences but RMSE doesn’t.

3. Answer any 5 out of the given 6 questions. (1 x 5 = 5 marks)

(i) F1 Score calculates the harmonic mean of:
(a) Accuracy and Recall (b) Precision and Recall
(c) Accuracy and Specificity (d) Precision and Accuracy
(ii) What does a positive correlation between two variables signify?
(a) Indirect causation (b) Inverse relationship
(c) Movement in the same direction (d) No relationship
(iii) What is the purpose of logarithmic loss in classification models?
(a) Measuring prediction accuracy
(b) Assessing model complexity
(c) Measuring difference between predicted probabilities and actual values
(d) Quantifying prediction confidence
(iv) On an average, how many items can the human working memory hold?
(a) 1 (b) 7
(c) 17 (d) 27

A.2 Essentials of Artificial Intelligence – XII

 (v) “Plastic production relies heavily on fossil fuels while plastic waste burned openly or incinerated releases
greenhouse gases. Transitioning from plastic is thus important for taking urgent action to combat climate
change.” Which SDG do these lines primarily address?
(a) Goal 11: Sustainable Cities and Communities
(b) Goal 12: Responsible Consumption and Production
(c) Goal 13: Climate Action
(d) Goal 14: Life Below Water
(vi) What is the first step of a Capstone Project?
(a) Literature Review (b) Data Collection
(c) Model Deployment (d) Problem Definition

4. Answer any 5 out of the given 6 questions. (1 x 5 = 5 marks)

(i) Classification is True Positive when:
(a) Prediction = True and Actually = True (b) Prediction = True and Actually = False
(c) Prediction = False and Actually = True (d) Prediction = False and Actually = False
(ii) Attrition Prediction in confusion matrix refers to:
(a) All the Predicted True data (b) All the Predicted False data
(c) All the Actually True data (d) All the Actually False data
(iii) Which of the following best fits the description of visually appealing and static one-pagers that combine
data, visualizations, etc?
(a) Concept Maps (b) Graphs
(c) Animations (d) Infographics
(iv) What is the significance of data cleaning in AI model lifecycle?
(a) To prepare the data for analysis (b) To make the data look appealing
(c) To program AI algorithms (d) To market the model
(v) What does an R-squared value of 0.896 indicate about a model?
(a) It is unreliable. (b) It is perfect.
(c) It explains 89.6% of the variance. (d) It requires substantial improvement.
(vi) ________ is an example of an Infographic Creation tool.

5. Answer any 5 out of the given 6 questions. (1 x 5 = 5 marks)

(i) What is Hyperparameter?
(a) Programmer’s chosen settings for training
(b) A technique of cross-validation
(c) A feature of data
(d) A label of data
(ii) Predicting a value between an interval is known as:
(a) Clustering Problem (b) Classification Problem
(c) Time-series Forecasting (d) Regression Problem
(iii) How does data exploration assist in AI development?
(a) By providing the code for model deployment
(b) By visualizing data relationships and patterns
(c) By determining the programming languages used
(d) By finalizing the model architecture
(iv) Precision is the ratio of:
(a) True Positives to all Actual Negatives (b) True Positives to all Predicted Negatives
(c) True Positives to all Actual Positives (d) True Positives to all Predicted Positives

Practice Paper–1 A.3

 (v) What does the R-squared value reflect about an AI model?
(a) Total errors in the model
(b) Proportion of variance in the dependent variable explained by independent variables
(c) Efficiency of the data collection process
(d) Cost-effectiveness of the model
(vi) “Millions of tons of plastic waste leaking into our oceans each year is choking marine life and destroying
aquatic ecosystems. Tackling plastic pollution is critical to conserving and sustainably using the oceans
and marine resources.” Which SDG do these lines primarily address?
(a) Goal 11: Sustainable Cities and Communities
(b) Goal 12: Responsible Consumption and Production
(c) Goal 13: Climate Action
(d) Goal 14: Life Below Water

SECTION B — SUBJECTIVE TYPE QUESTIONS

Answer any 3 out of the given 5 questions on Employability Skills in 20-30 words each. (2 x 3 = 6 marks)
6. Explain Cluster B personality disorder.
7. What are the qualities of a successful entrepreneur?
8. What are entrepreneurial competencies?
9. What is presentation software?
10. What are the different steps to overcome personality disorders?
Answer any 4 out of the given 6 questions in 20-30 words each. (2 x 4 = 8 marks)
11. What is the correlation between features in a dataset?
12. Explain the k-way split technique of cross-validation.
13. What is the objective of data preparation in the CRISP-DM approach?
14. What are the different metrics used for binary classification?
15. How does data storytelling help in building trust?
16. How is external market data useful?
Answer any 3 out of the given 5 questions in 50-80 words each. (4 x 3 = 12 marks)
17. Find out the Accuracy, Precision and Recall from the following confusion matrix.
Actual = True Actual = False
Predicted = True 15 3
Predicted = False 5 17
18. What key factors make storytelling a powerful medium of expression?
19. Find out the Mean Absolute Error from the table given below.
Actual Temperature Predicted Temperature
20 19
22 23
18 17
21 20
19 21
20 17
20. How can one interpret data using visualization?
21. Explain data mapping tools with their use cases.

A.4 Essentials of Artificial Intelligence – XII