Prepare smartly for your CBSE Class 10 Artificial Intelligence Code 417 exam with this Term 1 Question Paper 2022. This paper follows the official CBSE pattern and includes complete solutions prepared by experienced educators of CBSE. It’s a great resource to understand the question pattern, difficulty level, and important topics from all Units.
The CBSE Class 10 Artificial Intelligence (AI) Code 417 Term 1 Question Paper 2021-22 is extremely helpful for students, especially for mastering MCQ-based questions. During the COVID-19 period, the exam pattern was changed by CBSE, and Term 1 exams were conducted completely in objective (MCQ) format. This shift made it very important for students to practice multiple choice questions to understand concepts clearly and improve accuracy.
By solving this Term 1 question paper with solutions, students can get a real idea of the exam pattern used during the corona period. It helps in improving speed, understanding how CBSE frames MCQs, and identifying important topics from the AI syllabus. The provided solutions also make learning easier by explaining the correct answers simply. Overall, this question paper is a great resource for revision and building confidence for future board exams in Class 10 AI Code 417.
CBSE CLASS 10 ARTIFICIAL INTELLIGENCE (417) – TERM 1 - SOLUTION
Class 10 AI (Code 417) - Previous Year Question Paper
(Session 2021-22)
Series ΩQAΩA
Question Paper Code 104 Set 4
Question Paper Code 104 Set 4
Time allowed : 1 hour
Maximum Marks : 25
Maximum Marks : 25
General Instructions:
- Please read the instructions carefully.
- This question paper is divided into 03 Sections viz., Section A; Section B and Section C.
- Section A is of 05 marks and has 06 questions on Employability skills.
- Section B is of 15 marks and has 20 questions on Subject specific skills.
- Section C is of 5 marks and has 7 Competency-based questions.
- Do as per the instructions given in the respective sections.
- All questions must be attempted in the correct order.
Section A (Employability Skills)
Answer any 5 questions out of the given 6 questions.
1. ____ is the inner urge to do something, achieve goals without any external pressure/lure for award or appreciation.
a) Self-awareness
b) Self-motivation
c) Self-regulation
d) Self-control
2. Stress management is vital because it leads to the following benefit/s:
a) Improves mood
b) Boosts immune system
c) Promotes longevity
d) All of the above
a) Improves mood
b) Boosts immune system
c) Promotes longevity
d) All of the above
3. ____ is communication implies “stepping into the shoes of others”.
a) Consideration
b) Courtesy
c) Concreteness
d) Clarity
a) Consideration
b) Courtesy
c) Concreteness
d) Clarity
4. ____ communication takes place between two individuals and is thus a one-on-one conversation. It can be formal or informal.
a) Interpersonal
b) Written
c) Small group
d) Public
a) Interpersonal
b) Written
c) Small group
d) Public
5. GUI Stands for ____.
a) Graphical User Interaction
b) Graphical User Interface
c) Graphical Upper Interaction
d) Geographical User Interaction
a) Graphical User Interaction
b) Graphical User Interface
c) Graphical Upper Interaction
d) Geographical User Interaction
6. The shortcut used for copying is :
a) CTRL + c
b) CTRL + v
c) CTRL + s
d) CTRL + p
a) CTRL + c
b) CTRL + v
c) CTRL + s
d) CTRL + p
Section B (Subject Specific Skills)
Answer any 15 questions out of the given 20 questions.
7. Radha is good at singing since childhood, she understands keynotes and is composing a song for her college festival but her father wants her to focus on science exams. She possesses _____ skill but her father is not finding it lucrative.
a) Naturalist Intelligence
b) Interpersonal Intelligence
c) Musical Intelligence
d) Spatial Visual Intelligence
7. Radha is good at singing since childhood, she understands keynotes and is composing a song for her college festival but her father wants her to focus on science exams. She possesses _____ skill but her father is not finding it lucrative.
a) Naturalist Intelligence
b) Interpersonal Intelligence
c) Musical Intelligence
d) Spatial Visual Intelligence
8. Email Filters is an application of:
a) Computer Vision
b) Data Science
c) Natural Language Processing
d) Neural Network
a) Computer Vision
b) Data Science
c) Natural Language Processing
d) Neural Network
9. Computer vision acquires, screens, _________, identifies and extracts information.
a) does price comparison
b) analyses
c) collects
d) labels
a) does price comparison
b) analyses
c) collects
d) labels
10. _____ involves collecting data from various authentic sources such as reliable websites, observations, surveys.
a) Data Acquisition
b) Data Evaluation
c) Data Testing
d) Data Modelling
a) Data Acquisition
b) Data Evaluation
c) Data Testing
d) Data Modelling
11. Assertion (A): The training data should be authentic and relevant to the problem statement scoped.
Reason (R): It increases the AI Project efficiency.
a) Both Assertion (A) and Reason (R) are correct and Reason (R) is the correct explanation of Assertion (A).
b) Both Assertion (A) and Reason (R) are correct, but Reason (R) is not the correct explanation of Assertion (A).
c) Assertion (A) is correct, but Reason (R) is not correct.
d) Assertion (A) is not correct, but Reason (R) is correct.
Reason (R): It increases the AI Project efficiency.
a) Both Assertion (A) and Reason (R) are correct and Reason (R) is the correct explanation of Assertion (A).
b) Both Assertion (A) and Reason (R) are correct, but Reason (R) is not the correct explanation of Assertion (A).
c) Assertion (A) is correct, but Reason (R) is not correct.
d) Assertion (A) is not correct, but Reason (R) is correct.
12. Accuracy, Recall, Precision, F1 Score are the parameters to calculate the efficiency under _____.
a) Data Acquisition
b) Data Evaluation
c) Data Testing
d) Data Modelling
a) Data Acquisition
b) Data Evaluation
c) Data Testing
d) Data Modelling
13. Drawback/s of Rule-based approach is/are:
i. The learning is static.
ii. Any changes made to the original data will not be considered.
iii. Once trained the model cannot improvise on the basis of feedback.
a) All of the above statements are correct
b) Statements i and ii are correct
c) Statements ii and iii are correct
d) Statements i and iii are correct
i. The learning is static.
ii. Any changes made to the original data will not be considered.
iii. Once trained the model cannot improvise on the basis of feedback.
a) All of the above statements are correct
b) Statements i and ii are correct
c) Statements ii and iii are correct
d) Statements i and iii are correct
14. In ______ design is adaptive to change in data, which results in dynamicity of a model.
a) Learning-based Approach
b) Rule-based Approach
c) Data Acquisition
d) Data Modelling
a) Learning-based Approach
b) Rule-based Approach
c) Data Acquisition
d) Data Modelling
15. _____ are modelled on the human brain, it is essentially a machine learning algorithm, useful for solving problems when the dataset is large.
a) Computer Vision
b) Data Science
c) Natural Language Processing
d) Neural Network
a) Computer Vision
b) Data Science
c) Natural Language Processing
d) Neural Network
16. _____ is not a Learning-based Approach where the AI model gets trained on the data fed to it and then is able to design a model which is adaptive to the change in data.
a) Supervised Learning
b) Unsupervised Learning
c) Reinforcement Learning
d) Enforcement Learning
a) Supervised Learning
b) Unsupervised Learning
c) Reinforcement Learning
d) Enforcement Learning
17. Unsupervised Learning is divided into the following two categories. Identify the correct one
a) Rule-based and Learning-based
b) Classification and Clustering
c) Clustering and Dimensionality Reduction
d) Classification and Regression
a) Rule-based and Learning-based
b) Classification and Clustering
c) Clustering and Dimensionality Reduction
d) Classification and Regression
18. The 4 Ws Problem canvas helps in identifying the key elements related to the problem. 4 Ws Problem canvas is a part of:
a) Problem Scoping
b) Data Acquisition
c) Modelling
d) Evaluation
a) Problem Scoping
b) Data Acquisition
c) Modelling
d) Evaluation
19. The ________ block of 4 Ws Problem canvas helps in analyzing the people getting affected directly or indirectly due to it.
a) Who
b) What
c) Where
d) Why
a) Who
b) What
c) Where
d) Why
20. During Data Acquisition feeding previous data into the machine is called:
a) Training Data
b) Predicting Data
c) Testing Data
d) Evaluating Data
a) Training Data
b) Predicting Data
c) Testing Data
d) Evaluating Data
21. _____ is one of the types of Supervised Learning Model, where data is classified according to labels and data need not be continuous.
a) Regression
b) Classification
c) Clustering
d) Dimensionality reduction
a) Regression
b) Classification
c) Clustering
d) Dimensionality reduction
22. Self-Driving Car is an example of _____.
a) Data Science
b) Computer Vision
c) NLP Augmented
d) Reality
a) Data Science
b) Computer Vision
c) NLP Augmented
d) Reality
23. Evaluation is the process of understanding the reliability of any AI model, based on outputs by feeding the test dataset into the model and Therefore comparing it with actual answers. it must be followed by:
a) Problem Scoping
b) Data Acquisition
c) Data Exploration
d) Modelling
a) Problem Scoping
b) Data Acquisition
c) Data Exploration
d) Modelling
24. Radha was searching for new shoes online. Now she is fed advertisements related up to emails, popups, shoes on her social media accounts, email inbox, and SMS on her phone. This is an issue related to:
a) Gender bias
b) Data privacy
c) Poor training
d) Lack of access
a) Gender bias
b) Data privacy
c) Poor training
d) Lack of access
25. Classification and Regression are, ______ and approach followed is _____.
a) Supervised, Learning
b) Unsupervised, Learning
c) Reinforcement, Learning
d) Supervised, Rule-based
a) Supervised, Learning
b) Unsupervised, Learning
c) Reinforcement, Learning
d) Supervised, Rule-based
26. ____ refers to the unsupervised learning algorithm which can cluster the unknown data according to the patterns or trends identified out of it.
a) Regression
b) Classification
c) Clustering
d) Dimensionality Reduction
a) Regression
b) Classification
c) Clustering
d) Dimensionality Reduction
Section C (Competency-Based Skills)
Answer any 5 questions out of the given 7 questions.
27. Choose the correct option describing the features of Neural Network.
These are systems modelled on the Human Brain and Nervous System:
i. It is essentially a machine learning algorithm.
ii. It is useful when solving the problems for which the data set is very large.
iii. They are able to extract features without input from the programmer.
a) Statements (i) and (ii) are correct
b) Statements (i) and (iii) are correct
c) Statements (ii) and (iii) are correct
d) All of the above statements are correct
27. Choose the correct option describing the features of Neural Network.
These are systems modelled on the Human Brain and Nervous System:
i. It is essentially a machine learning algorithm.
ii. It is useful when solving the problems for which the data set is very large.
iii. They are able to extract features without input from the programmer.
a) Statements (i) and (ii) are correct
b) Statements (i) and (iii) are correct
c) Statements (ii) and (iii) are correct
d) All of the above statements are correct
28. Choose the correct statement related to Machine Learning:
Statement i: It is a subset of Artificial Intelligence that enables machines to improve at tasks with experience.
Statement ii: It enables machines to learn by themselves using the provided data and make accurate Predictions/Decisions.
a) Only Statement (i) is correct
b) Both statements (i) and (ii) are correct
c) Both the Statements (i) and (ii) are incorrect
d) Only Statement ii is correct
Statement i: It is a subset of Artificial Intelligence that enables machines to improve at tasks with experience.
Statement ii: It enables machines to learn by themselves using the provided data and make accurate Predictions/Decisions.
a) Only Statement (i) is correct
b) Both statements (i) and (ii) are correct
c) Both the Statements (i) and (ii) are incorrect
d) Only Statement ii is correct
29. Vijender has to maintain inventory on a daily basis, it usually takes 3-4 hours for a helper to take out raw material, which in turn delays the production cycle and also delays the updation of stock. His manager has identified the problem and looking for a possible solution. This is the task under:
a) Problem Scoping
b) Data Exploration
c) Data Evaluation
d) Neural Network
a) Problem Scoping
b) Data Exploration
c) Data Evaluation
d) Neural Network
30. Statement i: In Deep Learning, the machine is trained with huge amounts of data which helps it in training itself around the data.
Statement ii: Everything which is Machine Learning is also Deep Learning.
a) Both the statements (i) and (ii) are correct
b) Only Statement (i) is correct
c) Only Statement (ii) is correct
d) Both statements (i) and (ii) are incorrect
Statement ii: Everything which is Machine Learning is also Deep Learning.
a) Both the statements (i) and (ii) are correct
b) Only Statement (i) is correct
c) Only Statement (ii) is correct
d) Both statements (i) and (ii) are incorrect
31. Jhanvi loves traveling and makes wonderful travel vlogs, she was planning to take this as a profession and wanted to buy a good camera with other accessories for her vlogs. a friend had suggested she look for various options online which comparison is given to her from various vendors. She was happy to purchase the camera at the best price. Which domain of AI is working behind that has helped her to take a decision on this?
a) Computer Vision
b) Data Science
c) Natural Language Processing
d) Neural Network
a) Computer Vision
b) Data Science
c) Natural Language Processing
d) Neural Network
32. Ananya has recently bought a robot to do cleaning including mopping. The robot senses the dirty floor, calculates the average time taken to mop, senses the obstacle, and changes the direction, also goes for auto charging. Her housemaid was feeling insecure as if she would not be required in the near future. This is a problem related to:
a) AI Bias
b) AI Ethics
c) AI Creating Unemployment
d) Data Privacy
a) AI Bias
b) AI Ethics
c) AI Creating Unemployment
d) Data Privacy
33. The following are the key elements of ____.
i. Who are stakeholders?
ii. What is the problem?
iii. Where does the problem arise?
iv. Why do you believe that the problem is worth solving?
a) 4Ws Problem Canvas
b) Accuracy
c) Precision
d) Recall
i. Who are stakeholders?
ii. What is the problem?
iii. Where does the problem arise?
iv. Why do you believe that the problem is worth solving?
a) 4Ws Problem Canvas
b) Accuracy
c) Precision
d) Recall
Download Now - Class 10 AI 417 Previous Year Question Paper (PYQP) 2021-22 Term 1 with Solution
