Artificial Intelligence Practice Paper Class X

Questions and Answers

How many total questions are there in Part A of the examination?

11 (correct)

What is the maximum total marks for the subject-specific skills in the examination?

40 (correct)

In Part A, how many marks is each objective type question worth?

2 marks

3 marks

1 mark (correct)

4 marks

Which unit has the highest number of total questions in Part A, combining both objective and short answer types?

Self-Management Skills - II Signup and view all the answers

How many questions must students answer from Part A?

Any 4 and any 3 from both types Signup and view all the answers

Which layer is referred to as the output layer in a neural network?

The last layer Signup and view all the answers

What is the most suitable term for the Indian Government's action of banning apps due to improper data use?

Data Privacy Signup and view all the answers

From the following options, which best categorizes the word 'diet' when it appears once in a document?

Rare word Signup and view all the answers

Which of the following file formats is commonly used to store data separated by commas?

CSV Signup and view all the answers

What conclusion can be drawn from the assertion that different individuals can excel in different intelligences?

Different types of intelligences exist at varying levels. Signup and view all the answers

How many layers does a typical neural network contain, according to the given statement?

Four layers Signup and view all the answers

When stating that 'the better the neural network, the better is the performance', what aspect is being highlighted?

Layer depth Signup and view all the answers

What does the term 'stop word' refer to in text processing?

A commonly disregarded word in analyses Signup and view all the answers

Which options represent applications that are not driven by AI?

Hand sanitizer dispenser having sensor Signup and view all the answers

Which of the following is considered an application of data science?

Face lock in smartphones Signup and view all the answers

What is the process of identifying real-world objects in images or videos called?

Object detection Signup and view all the answers

Which statement best describes the F1 Score?

The balance between precision and recall Signup and view all the answers

What term refers to machines using neural networks to perform tasks with vast amounts of data?

Deep learning Signup and view all the answers

Which of the following statements about AI output is correct?

Both statements are incorrect. Signup and view all the answers

Rajat's predictive model considers which of the following factors?

Player fitness and health Signup and view all the answers

Which Chatbot type learns from its environment and experience?

Learning chatbot Signup and view all the answers

Which term refers to the process of dividing text into sentences?

Sentence segmentation Signup and view all the answers

In the context of data classification, which scenario is likely to produce a high false positive cost?

Spam filter Signup and view all the answers

What is the purpose of text normalisation in data processing?

Transforming text into a consistent format Signup and view all the answers

Which option describes 'bag of words' incorrectly?

It considers the order of words. Signup and view all the answers

What does the term 'resolution' refer to in data analysis?

The level of detail in the data. Signup and view all the answers

Which of these best describes tokenisation?

Dividing text into smaller units, such as words. Signup and view all the answers

Which statement about stop words is true?

They can provide context and improve understanding. Signup and view all the answers

What does a confusion matrix help to evaluate?

The performance of a classification model. Signup and view all the answers

How many total marks are allocated for Section A of the question paper?

24 Marks Signup and view all the answers

How many questions are students required to answer from Section B?

15 Questions Signup and view all the answers

What is the total number of questions in the question paper?

21 Questions Signup and view all the answers

What type of questions does Section A contain?

Objective type questions Signup and view all the answers

What is the maximum time allocated to complete the question paper?

2 Hours Signup and view all the answers

How many different subjects are listed with marks distribution in the question paper?

4 Subjects Signup and view all the answers

Which section has no negative marking?

Section A Signup and view all the answers

What is the total number of questions that need to be attempted from Section A?

5 Questions Signup and view all the answers

Study Notes

Exam Structure Overview

Subject: Artificial Intelligence (Subject Code: 417)
Class: X (Session 2024-2025)
Total Duration: 2 hours
Maximum Marks: 50

Part A - Employability Skills (10 Marks)

Total Questions: 11 (6 objective, 5 short answer)
Questions to Answer: Any 4 objective, any 3 short answer
Marks Breakdown:
- Objective Questions: 1 mark each (total 4 marks)
- Short Answer Questions: 2 marks each (total 6 marks)

Part B - Subject Specific Skills (40 Marks)

Total Questions: 35 (24 objective, 6 short answer, 5 descriptive)
Questions to Answer: 20 objective, any 4 short answer, any 3 descriptive
Marks Breakdown:
- Objective Questions: 1 mark each (total 20 marks)
- Short Answer Questions: 2 marks each (total 8 marks)
- Descriptive Questions: 4 marks each (total 12 marks)

Key Topics Covered in Employability Skills

Communication Skills - II
- Focus on effective communication techniques
Self-Management Skills - II
- Features of self-discipline and organizational skills
ICT Skills - II
- Emphasis on technology literacy and its applications
Entrepreneurial Skills - II
- Traits and skills necessary for entrepreneurship
Green Skills - II
- Awareness of sustainable practices

Key Topics Covered in Subject Specific Skills

Introduction to AI
- Basics of Artificial Intelligence concepts and definitions
AI Project Cycle
- Steps and processes involved in AI project development
Data Sciences
- Techniques and applications in handling data
Computer Vision
- Understanding image processing and recognition techniques
Natural Language Processing
- Techniques for analyzing and generating human language
Evaluation
- Methods for assessing AI models and performance metrics

Question Paper Instructions

Sections: 2 (Objective and Subjective)
Total of 21 Questions: 5 + 16 questions categorized into different sections
Incentives: No negative marking for wrong answers
Order: Questions must be answered in the prescribed order

Specific Question Examples

Understanding the difference between AI applications and non-AI applications
Identifying the consequences of data privacy breaches
Exploring the terminology around machine learning and neural networks
Evaluating the implications of different types of false positives in AI

Short Answer and Descriptive Questions

Engage with practical implications of AI in business and society
Articulate the importance of goal-setting and effective communication in professional settings
Analyze human activities leading to environmental issues and how they relate to green skills

Example Question Themes

AI applications like chatbots and their learning capabilities
Discussing personal data utilization by apps and ethical considerations
Exploring machine learning techniques, such as resolution in data processing

Important Concepts to Review

AI Ethics: The moral principles guiding the use of AI
Data Privacy: Safeguarding personal information and regulations surrounding it
Neural Networks: Structure and function in machine learning contexts
Confusion Matrix: Key metrics for evaluating the accuracy of AI models

Familiarizing with these aspects will enhance readiness for the examination and provide a well-rounded understanding of both employability and subject-specific skills related to Artificial Intelligence.

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Description

Prepare for your Class X Artificial Intelligence exam with this sample question paper designed for the 2024-2025 session. This practice paper focuses on employability skills and includes objective-type and short answer questions to enhance your learning experience.