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AI-Emerging Technologies Competitive Exams

100 questions · General Science

  1. Question 1 of 100

    Compared with 4G, 5G offers

  2. Question 2 of 100

    Backpropagation is the algorithm used to

  3. Question 3 of 100

    A chatbot is a program that

  4. Question 4 of 100

    Computer vision enables machines to

  5. Question 5 of 100

    Bitcoin was introduced by the pseudonymous creator

  6. Question 6 of 100

    Gradient descent is an optimisation method that

  7. Question 7 of 100

    Satellites are used for

  8. Question 8 of 100

    A drone is an

  9. Question 9 of 100

    Bitcoin is a

  10. Question 10 of 100

    Deep learning is a type of machine learning that uses

  11. Question 11 of 100

    A model identifies 40 true positives and 10 false positives. Its precision is

  12. Question 12 of 100

    Overfitting in machine learning means the model

  13. Question 13 of 100

    Quantum computers use

  14. Question 14 of 100

    In generative AI, a 'prompt' is the

  15. Question 15 of 100

    The term 'Artificial Intelligence' was coined by

  16. Question 16 of 100

    Fine-tuning a pre-trained model means

  17. Question 17 of 100

    In reinforcement learning, an agent learns by

  18. Question 18 of 100

    The 3 Vs of big data are

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    A blockchain is a

  20. Question 20 of 100

    A smart contract is a

  21. Question 21 of 100

    Cloud computing means

  22. Question 22 of 100

    Shor's algorithm on a large quantum computer could threaten

  23. Question 23 of 100

    In machine learning, data is usually divided into

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    Solar panels convert

  25. Question 25 of 100

    A sensor is a device that

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    QR codes can be read by

  27. Question 27 of 100

    GPS stands for

  28. Question 28 of 100

    5G is the

  29. Question 29 of 100

    The General Data Protection Regulation (GDPR) is a law of the

  30. Question 30 of 100

    Retrieval-augmented generation (RAG)

  31. Question 31 of 100

    A large language model (LLM) is trained on

  32. Question 32 of 100

    Augmented reality (AR) adds

  33. Question 33 of 100

    A machine learning model with high variance typically

  34. Question 34 of 100

    An IoT system generally consists of

  35. Question 35 of 100

    LiDAR measures distance using

  36. Question 36 of 100

    Supervised learning uses

  37. Question 37 of 100

    A model has 40 true positives and 20 false negatives. Its recall is about

  38. Question 38 of 100

    Neuromorphic computing aims to

  39. Question 39 of 100

    Wind turbines convert

  40. Question 40 of 100

    RFID technology uses

  41. Question 41 of 100

    Robots are widely used in factories for

  42. Question 42 of 100

    A smartwatch is an example of a

  43. Question 43 of 100

    Artificial neural networks are inspired by

  44. Question 44 of 100

    Telemedicine allows patients to

  45. Question 45 of 100

    The maximum supply of bitcoin is limited to

  46. Question 46 of 100

    AlphaGo, which defeated champion Lee Sedol in 2016, played the game of

  47. Question 47 of 100

    'Hallucination' in a language model refers to

  48. Question 48 of 100

    Cyber hygiene includes

  49. Question 49 of 100

    Recommendation systems on video platforms use

  50. Question 50 of 100

    Generative AI is capable of

  51. Question 51 of 100

    Big data refers to

  52. Question 52 of 100

    In blockchain, 'Proof of Work' consensus requires participants to

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    A qubit differs from a classical bit because it can be

  54. Question 54 of 100

    The Turing Test, proposed by Alan Turing in 1950, checks whether

  55. Question 55 of 100

    Edge computing means

  56. Question 56 of 100

    K-means is an example of

  57. Question 57 of 100

    Graphene is a

  58. Question 58 of 100

    Data privacy means

  59. Question 59 of 100

    Siri, Alexa and Google Assistant are examples of

  60. Question 60 of 100

    IoT stands for

  61. Question 61 of 100

    The Transformer architecture, which powers most modern language models, is based on

  62. Question 62 of 100

    Smart home devices, such as smart bulbs and thermostats, can be controlled

  63. Question 63 of 100

    Explainable AI (XAI) aims to

  64. Question 64 of 100

    Virtual reality (VR) provides

  65. Question 65 of 100

    Nanotechnology deals with materials at the scale of

  66. Question 66 of 100

    Quantum entanglement is a phenomenon in which

  67. Question 67 of 100

    Federated learning

  68. Question 68 of 100

    Machine learning allows computers to

  69. Question 69 of 100

    Isaac Asimov is famous for formulating the

  70. Question 70 of 100

    In 'GPT', the letters stand for

  71. Question 71 of 100

    Electric vehicles (EVs) mainly run on

  72. Question 72 of 100

    AI stands for

  73. Question 73 of 100

    Searle's 'Chinese Room' argument is used to question whether

  74. Question 74 of 100

    In the context of AI safety, 'alignment' refers to

  75. Question 75 of 100

    Dropout and regularisation are techniques used to

  76. Question 76 of 100

    Blockchain is called a decentralised ledger because

  77. Question 77 of 100

    NLP stands for

  78. Question 78 of 100

    Principal Component Analysis (PCA) is used for

  79. Question 79 of 100

    A password manager helps to

  80. Question 80 of 100

    A smart grid

  81. Question 81 of 100

    AI in healthcare can help doctors by

  82. Question 82 of 100

    SLAM in robotics stands for

  83. Question 83 of 100

    According to the SAE scale, Level 5 driving automation means

  84. Question 84 of 100

    A deepfake is

  85. Question 85 of 100

    Algorithmic bias occurs when an AI system

  86. Question 86 of 100

    Mixed reality (MR)

  87. Question 87 of 100

    Digital payments and online shopping are examples of

  88. Question 88 of 100

    A robot is a

  89. Question 89 of 100

    Convolutional neural networks (CNNs) are mainly used for

  90. Question 90 of 100

    Self-driving cars use AI and

  91. Question 91 of 100

    3D printing builds objects by

  92. Question 92 of 100

    Narrow AI differs from AGI in that narrow AI

  93. Question 93 of 100

    The three main types of machine learning are

  94. Question 94 of 100

    A digital twin is a

  95. Question 95 of 100

    An example of unsupervised learning is

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    A fingerprint scanner is an example of a

  97. Question 97 of 100

    The main components of a robot are

  98. Question 98 of 100

    Face recognition is used to

  99. Question 99 of 100

    ReLU, commonly used in neural networks, is a

  100. Question 100 of 100

    Edge AI refers to

Question 1 / 100

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