Artificial Intelligence Practice Paper Class X
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Questions and Answers

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

  • 6
  • 7
  • 10
  • 11 (correct)

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

  • 40 (correct)
  • 30
  • 50
  • 20

    • 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?

    <p>Self-Management Skills - II</p> Signup and view all the answers

    How many questions must students answer from Part A?

    <p>Any 4 and any 3 from both types</p> Signup and view all the answers

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

    <p>The last layer</p> 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?

    <p>Data Privacy</p> Signup and view all the answers

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

    <p>Rare word</p> Signup and view all the answers

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

    <p>CSV</p> Signup and view all the answers

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

    <p>Different types of intelligences exist at varying levels.</p> Signup and view all the answers

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

    <p>Four layers</p> Signup and view all the answers

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

    <p>Layer depth</p> Signup and view all the answers

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

    <p>A commonly disregarded word in analyses</p> Signup and view all the answers

    Which options represent applications that are not driven by AI?

    <p>Hand sanitizer dispenser having sensor</p> Signup and view all the answers

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

    <p>Face lock in smartphones</p> Signup and view all the answers

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

    <p>Object detection</p> Signup and view all the answers

    Which statement best describes the F1 Score?

    <p>The balance between precision and recall</p> Signup and view all the answers

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

    <p>Deep learning</p> Signup and view all the answers

    Which of the following statements about AI output is correct?

    <p>Both statements are incorrect.</p> Signup and view all the answers

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

    <p>Player fitness and health</p> Signup and view all the answers

    Which Chatbot type learns from its environment and experience?

    <p>Learning chatbot</p> Signup and view all the answers

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

    <p>Sentence segmentation</p> Signup and view all the answers

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

    <p>Spam filter</p> Signup and view all the answers

    What is the purpose of text normalisation in data processing?

    <p>Transforming text into a consistent format</p> Signup and view all the answers

    Which option describes 'bag of words' incorrectly?

    <p>It considers the order of words.</p> Signup and view all the answers

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

    <p>The level of detail in the data.</p> Signup and view all the answers

    Which of these best describes tokenisation?

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

    Which statement about stop words is true?

    <p>They can provide context and improve understanding.</p> Signup and view all the answers

    What does a confusion matrix help to evaluate?

    <p>The performance of a classification model.</p> Signup and view all the answers

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

    <p>24 Marks</p> Signup and view all the answers

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

    <p>15 Questions</p> Signup and view all the answers

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

    <p>21 Questions</p> Signup and view all the answers

    What type of questions does Section A contain?

    <p>Objective type questions</p> Signup and view all the answers

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

    <p>2 Hours</p> Signup and view all the answers

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

    <p>4 Subjects</p> Signup and view all the answers

    Which section has no negative marking?

    <p>Section A</p> Signup and view all the answers

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

    <p>5 Questions</p> 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.

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