Artificial Intelligence and Machine Learning Basics MCQs 2026

20 questions with detailed answers · 9 from past papers · 2 quiz batches available

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Page 1 of 1 Questions 110 of 20
  1. Q1 medium

    gradient boosting is best defined as

    1. A an AI or machine learning concept in software systems
    2. B an unrelated hardware manufacturing step
    3. C a purely financial accounting entry only
    4. D a marketing slogan without technical meaning
    💡 Explanation:

    gradient boosting is a recognized software engineering topic assessed in competitive exams.

  2. Q2 Past Paper · PPSC/FPSC/NTS easy

    random forest is best defined as

    1. A an AI or machine learning concept in software systems
    2. B an unrelated hardware manufacturing step
    3. C a purely financial accounting entry only
    4. D a marketing slogan without technical meaning
    💡 Explanation:

    random forest is a recognized software engineering topic assessed in competitive exams.

  3. Q3 hard

    regression problem is best defined as

    1. A an unrelated hardware manufacturing step
    2. B a purely financial accounting entry only
    3. C a marketing slogan without technical meaning
    4. D an AI or machine learning concept in software systems
    💡 Explanation:

    regression problem is a recognized software engineering topic assessed in competitive exams.

  4. Q4 medium

    classification problem is best defined as

    1. A an unrelated hardware manufacturing step
    2. B an AI or machine learning concept in software systems
    3. C a purely financial accounting entry only
    4. D a marketing slogan without technical meaning
    💡 Explanation:

    classification problem is a recognized software engineering topic assessed in competitive exams.

  5. Q5 Past Paper · PPSC/FPSC/NTS easy

    reinforcement learning is best defined as

    1. A an unrelated hardware manufacturing step
    2. B an AI or machine learning concept in software systems
    3. C a purely financial accounting entry only
    4. D a marketing slogan without technical meaning
    💡 Explanation:

    reinforcement learning is a recognized software engineering topic assessed in competitive exams.

  6. Q6 Past Paper · PPSC/FPSC/NTS hard

    unsupervised learning is best defined as

    1. A an AI or machine learning concept in software systems
    2. B an unrelated hardware manufacturing step
    3. C a purely financial accounting entry only
    4. D a marketing slogan without technical meaning
    💡 Explanation:

    unsupervised learning is a recognized software engineering topic assessed in competitive exams.

  7. Q7 Past Paper · PPSC/FPSC/NTS medium

    supervised learning is best defined as

    1. A an AI or machine learning concept in software systems
    2. B an unrelated hardware manufacturing step
    3. C a purely financial accounting entry only
    4. D a marketing slogan without technical meaning
    💡 Explanation:

    supervised learning is a recognized software engineering topic assessed in competitive exams.

  8. Q8 Past Paper · PPSC/FPSC/NTS easy

    machine learning definition is best defined as

    1. A an unrelated hardware manufacturing step
    2. B an AI or machine learning concept in software systems
    3. C a purely financial accounting entry only
    4. D a marketing slogan without technical meaning
    💡 Explanation:

    machine learning definition is a recognized software engineering topic assessed in competitive exams.

  9. Q9 Past Paper · PPSC/FPSC/NTS easy

    neural network is best defined as

    1. A an unrelated hardware manufacturing step
    2. B a purely financial accounting entry only
    3. C a marketing slogan without technical meaning
    4. D an AI or machine learning concept in software systems
    💡 Explanation:

    neural network is a recognized software engineering topic assessed in competitive exams.

  10. Q10 hard

    feature engineering is best defined as

    1. A an AI or machine learning concept in software systems
    2. B an unrelated hardware manufacturing step
    3. C a purely financial accounting entry only
    4. D a marketing slogan without technical meaning
    💡 Explanation:

    feature engineering is a recognized software engineering topic assessed in competitive exams.

  11. Q11 medium

    cross-validation is best defined as

    1. A an AI or machine learning concept in software systems
    2. B an unrelated hardware manufacturing step
    3. C a purely financial accounting entry only
    4. D a marketing slogan without technical meaning
    💡 Explanation:

    cross-validation is a recognized software engineering topic assessed in competitive exams.

  12. Q12 Past Paper · PPSC/FPSC/NTS easy

    underfitting is best defined as

    1. A an AI or machine learning concept in software systems
    2. B an unrelated hardware manufacturing step
    3. C a purely financial accounting entry only
    4. D a marketing slogan without technical meaning
    💡 Explanation:

    underfitting is a recognized software engineering topic assessed in competitive exams.

  13. Q13 hard

    overfitting is best defined as

    1. A an unrelated hardware manufacturing step
    2. B a purely financial accounting entry only
    3. C a marketing slogan without technical meaning
    4. D an AI or machine learning concept in software systems
    💡 Explanation:

    overfitting is a recognized software engineering topic assessed in competitive exams.

  14. Q14 medium

    deep learning is best defined as

    1. A an AI or machine learning concept in software systems
    2. B an unrelated hardware manufacturing step
    3. C a purely financial accounting entry only
    4. D a marketing slogan without technical meaning
    💡 Explanation:

    deep learning is a recognized software engineering topic assessed in competitive exams.

  15. Q15 hard

    CNN for images is best defined as

    1. A an unrelated hardware manufacturing step
    2. B a purely financial accounting entry only
    3. C an AI or machine learning concept in software systems
    4. D a marketing slogan without technical meaning
    💡 Explanation:

    CNN for images is a recognized software engineering topic assessed in competitive exams.

  16. Q16 Past Paper · PPSC/FPSC/NTS easy

    RNN for sequences is best defined as

    1. A an AI or machine learning concept in software systems
    2. B an unrelated hardware manufacturing step
    3. C a purely financial accounting entry only
    4. D a marketing slogan without technical meaning
    💡 Explanation:

    RNN for sequences is a recognized software engineering topic assessed in competitive exams.

  17. Q17 medium

    NLP tokenization is best defined as

    1. A an unrelated hardware manufacturing step
    2. B an AI or machine learning concept in software systems
    3. C a purely financial accounting entry only
    4. D a marketing slogan without technical meaning
    💡 Explanation:

    NLP tokenization is a recognized software engineering topic assessed in competitive exams.

  18. Q18 hard

    decision tree model is best defined as

    1. A an unrelated hardware manufacturing step
    2. B an AI or machine learning concept in software systems
    3. C a purely financial accounting entry only
    4. D a marketing slogan without technical meaning
    💡 Explanation:

    decision tree model is a recognized software engineering topic assessed in competitive exams.

  19. Q19 medium

    test dataset is best defined as

    1. A an unrelated hardware manufacturing step
    2. B an AI or machine learning concept in software systems
    3. C a purely financial accounting entry only
    4. D a marketing slogan without technical meaning
    💡 Explanation:

    test dataset is a recognized software engineering topic assessed in competitive exams.

  20. Q20 Past Paper · PPSC/FPSC/NTS easy

    training dataset is best defined as

    1. A an unrelated hardware manufacturing step
    2. B an AI or machine learning concept in software systems
    3. C a purely financial accounting entry only
    4. D a marketing slogan without technical meaning
    💡 Explanation:

    training dataset is a recognized software engineering topic assessed in competitive exams.