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10th Class Computer Chapter 6 TestUNIT 06: INTRODUCTION ARTIFICIAL INTELLIGENCE (AI), AND MACHINE LEARNING (ML)

30 marks · 40 minutes · 21 questions. Covers: UNIT 06: INTRODUCTION ARTIFICIAL INTELLIGENCE (AI), AND MACHINE LEARNING (ML).

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10th Class Computer Chapter 6 Test

10th Class · Computer · Punjab (PTB)

Name: ____________Roll No: ________Class/Section: ________Date: ________Total marks: 30Time: 40 minutes

Q1. Multiple choice questions (Attempt all · 10 × 1 = 10)

  1. AI and ML helps in:

    1. Manage Big Data

    2. Improve Transportation

    3. Provide health service

    4. All

  2. Main goal of AI:

    1. Make predictions

    2. Help customers

    3. Perform smart task

    4. Store data

  3. AI means:

    1. Translate text to human voice

    2. Teach machine to do task

    3. Both a, b

    4. None of them

  4. According to the "TIDBIT" box, an app is powered by AI if it can ...... .

    1. Increase internet speed

    2. Learn your habits, understand your voice, or make suggestions

    3. Shut down the device automatically

    4. Format the storage drive

  5. Which of the following is not an example of a smart system?

    1. Siri

    2. Google assistant

    3. IoT

    4. None of them

  6. An unfair pattern of machine learning is called:

    1. Wrong Analysis

    2. Incomplete data

    3. Bias in AI

    4. Chatbot error

  7. In which type of machine learning is the machine trained using data that contains correct answers (labels)?

    1. Unsupervised Learning

    2. Supervised Learning

    3. Reinforcement Learning

    4. Deep Learning

  8. Weather app predictions are examples of:

    1. Artificial Intelligence

    2. Machine Learning

    3. Satellite computing

    4. Smart system

  9. In linear regression graph, y-axis shows:

    1. Input

    2. Output

    3. Pattern

    4. Line

  10. In supervised learning, the data is:

    1. Unorganized

    2. Without any answers

    3. Labeled with correct answers

    4. Only text-based

Q2. Short questions (Attempt any 6 of 8 · 6 × 2 = 12)

  1. What is customer analysis?

  2. Define linear regression with a real-world example.

  3. Why is it necessary to evaluate the performance of a machine learning model?

  4. Give one real-life example of AI used in Pakistan.

  5. How does K-Means (Clustering) algorithm group different items?

  6. How many fields in real life use chatbots and why?

  7. On what factors does the choice of a data science algorithm depend?

  8. Define an AI.

Q3. Long questions (Attempt any 2 of 3 · 2 × 4 = 8)

  1. Explain the practical uses of AI and ML in terms of bias, privacy, and responsibility.

  2. Explain how model performance is evaluated in machine learning using the following metrics: (a) Confusion Matrix (b) Accuracy (c) Precision

  3. Explain the practical applications of AI and ML smart assistants and recommendation systems.