AI-Emerging Technologies Competitive Exams
100 questions · General Science
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Question 1 of 100
Compared with 4G, 5G offers
ExplanationIt supports IoT and real-time applications.
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Question 2 of 100
Backpropagation is the algorithm used to
ExplanationThe error is propagated from the output layer back to the input.
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Question 3 of 100
A chatbot is a program that
ExplanationIt can answer questions through text or voice.
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Question 4 of 100
Computer vision enables machines to
ExplanationIt is used in medical imaging and autonomous vehicles.
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Question 5 of 100
Bitcoin was introduced by the pseudonymous creator
ExplanationThe whitepaper was published in 2008.
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Question 6 of 100
Gradient descent is an optimisation method that
ExplanationIt moves parameters in the direction of the negative gradient.
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Question 7 of 100
Satellites are used for
ExplanationThey orbit the Earth.
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Question 8 of 100
A drone is an
ExplanationIt can be controlled remotely or fly autonomously.
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Question 9 of 100
Bitcoin is a
ExplanationIt is a digital currency that uses cryptography.
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Question 10 of 100
Deep learning is a type of machine learning that uses
ExplanationIt is used in speech recognition and image analysis.
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Question 11 of 100
A model identifies 40 true positives and 10 false positives. Its precision is
ExplanationPrecision = TP/(TP + FP) = 40/50.
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Question 12 of 100
Overfitting in machine learning means the model
ExplanationIt has memorised the training examples.
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Question 13 of 100
Quantum computers use
ExplanationQubits can exist in superposition of 0 and 1.
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Question 14 of 100
In generative AI, a 'prompt' is the
ExplanationBetter prompts usually give better results.
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Question 15 of 100
The term 'Artificial Intelligence' was coined by
ExplanationHe used it for the 1956 Dartmouth conference.
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Question 16 of 100
Fine-tuning a pre-trained model means
ExplanationIt adapts general knowledge to specific use.
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Question 17 of 100
In reinforcement learning, an agent learns by
ExplanationExamples include game-playing AI like AlphaGo.
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Question 18 of 100
The 3 Vs of big data are
ExplanationVolume is size, velocity is speed and variety is type of data.
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Question 19 of 100
A blockchain is a
ExplanationEach block contains a hash of the previous block.
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Question 20 of 100
A smart contract is a
ExplanationIt executes automatically when conditions are met.
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Question 21 of 100
Cloud computing means
ExplanationExamples are Google Drive and Dropbox.
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Question 22 of 100
Shor's algorithm on a large quantum computer could threaten
ExplanationThis is why post-quantum cryptography is being developed.
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Question 23 of 100
In machine learning, data is usually divided into
ExplanationThe test data checks how well the model works on unseen data.
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Question 24 of 100
Solar panels convert
ExplanationThey use photovoltaic cells.
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Question 25 of 100
A sensor is a device that
ExplanationExamples are temperature, light and motion sensors.
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Question 26 of 100
QR codes can be read by
ExplanationThey store information such as web links.
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Question 27 of 100
GPS stands for
ExplanationIt uses satellites to find locations.
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Question 28 of 100
5G is the
ExplanationIt provides faster speed and lower delay.
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Question 29 of 100
The General Data Protection Regulation (GDPR) is a law of the
ExplanationIt gives individuals rights over their personal data.
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Question 30 of 100
Retrieval-augmented generation (RAG)
ExplanationIt reduces hallucination by using external knowledge.
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Question 31 of 100
A large language model (LLM) is trained on
ExplanationIt learns patterns in language.
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Question 32 of 100
Augmented reality (AR) adds
ExplanationIt can be viewed through a phone camera.
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Question 33 of 100
A machine learning model with high variance typically
ExplanationThe bias–variance trade-off balances underfitting and overfitting.
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Question 34 of 100
An IoT system generally consists of
ExplanationData from sensors is sent to the cloud for analysis.
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Question 35 of 100
LiDAR measures distance using
ExplanationIt builds 3D maps for autonomous vehicles.
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Question 36 of 100
Supervised learning uses
ExplanationExamples include spam detection and image classification.
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Question 37 of 100
A model has 40 true positives and 20 false negatives. Its recall is about
ExplanationRecall = TP/(TP + FN) = 40/60.
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Question 38 of 100
Neuromorphic computing aims to
ExplanationIt can be very energy efficient for AI tasks.
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Question 39 of 100
Wind turbines convert
ExplanationThey are a source of renewable energy.
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Question 40 of 100
RFID technology uses
ExplanationIt is used in toll cards and inventory tracking.
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Question 41 of 100
Robots are widely used in factories for
ExplanationThey work with high accuracy and speed.
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Question 42 of 100
A smartwatch is an example of a
ExplanationIt tracks steps and heart rate.
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Question 43 of 100
Artificial neural networks are inspired by
ExplanationThey contain layers of connected nodes.
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Question 44 of 100
Telemedicine allows patients to
ExplanationIt uses video calls and online records.
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Question 45 of 100
The maximum supply of bitcoin is limited to
ExplanationThis cap is built into the protocol.
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Question 46 of 100
AlphaGo, which defeated champion Lee Sedol in 2016, played the game of
ExplanationIt combined deep neural networks with reinforcement learning.
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Question 47 of 100
'Hallucination' in a language model refers to
ExplanationUsers should verify important facts.
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Question 48 of 100
Cyber hygiene includes
ExplanationThese practices reduce the risk of attacks.
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Question 49 of 100
Recommendation systems on video platforms use
ExplanationThey analyse watch history and preferences.
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Question 50 of 100
Generative AI is capable of
ExplanationLarge language models and image generators are examples.
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Question 51 of 100
Big data refers to
ExplanationIt is analysed to find patterns and trends.
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Question 52 of 100
In blockchain, 'Proof of Work' consensus requires participants to
ExplanationProof of Stake instead selects validators based on staked coins.
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Question 53 of 100
A qubit differs from a classical bit because it can be
ExplanationThis allows certain problems to be solved faster.
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Question 54 of 100
The Turing Test, proposed by Alan Turing in 1950, checks whether
ExplanationThe judge tries to tell whether they are talking to a human or machine.
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Question 55 of 100
Edge computing means
ExplanationIt reduces delay and bandwidth use.
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Question 56 of 100
K-means is an example of
ExplanationIt groups data into k clusters without labels.
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Question 57 of 100
Graphene is a
ExplanationIt is a 2D nanomaterial.
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Question 58 of 100
Data privacy means
ExplanationLaws like GDPR protect personal data.
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Question 59 of 100
Siri, Alexa and Google Assistant are examples of
ExplanationThey respond to voice commands using AI.
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Question 60 of 100
IoT stands for
ExplanationIt means everyday objects connected to the Internet.
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Question 61 of 100
The Transformer architecture, which powers most modern language models, is based on
ExplanationIt was introduced in the 2017 paper 'Attention Is All You Need'.
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Question 62 of 100
Smart home devices, such as smart bulbs and thermostats, can be controlled
ExplanationThey are an application of IoT.
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Question 63 of 100
Explainable AI (XAI) aims to
ExplanationIt increases trust and accountability.
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Question 64 of 100
Virtual reality (VR) provides
ExplanationUsers wear headsets to experience it.
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Question 65 of 100
Nanotechnology deals with materials at the scale of
Explanation1 nanometre = 10⁻⁹ m.
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Question 66 of 100
Quantum entanglement is a phenomenon in which
ExplanationIt is a key resource in quantum computing.
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Question 67 of 100
Federated learning
ExplanationIt helps preserve privacy.
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Question 68 of 100
Machine learning allows computers to
ExplanationIt improves with experience.
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Question 69 of 100
Isaac Asimov is famous for formulating the
ExplanationThey appear in his science fiction stories.
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Question 70 of 100
In 'GPT', the letters stand for
ExplanationIt is a family of large language models.
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Question 71 of 100
Electric vehicles (EVs) mainly run on
ExplanationThey reduce air pollution compared with petrol vehicles.
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Question 72 of 100
AI stands for
ExplanationIt is the ability of machines to perform tasks that normally need human intelligence.
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Question 73 of 100
Searle's 'Chinese Room' argument is used to question whether
ExplanationIt challenges the idea that passing a Turing-style test means understanding.
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Question 74 of 100
In the context of AI safety, 'alignment' refers to
ExplanationIt is a major research area as AI systems become more capable.
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Question 75 of 100
Dropout and regularisation are techniques used to
ExplanationThey improve generalisation to unseen data.
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Question 76 of 100
Blockchain is called a decentralised ledger because
ExplanationNo single entity controls it.
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Question 77 of 100
NLP stands for
ExplanationIt helps computers understand human language.
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Question 78 of 100
Principal Component Analysis (PCA) is used for
ExplanationIt keeps the directions of greatest variance.
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Question 79 of 100
A password manager helps to
ExplanationIt is a basic cyber hygiene tool.
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Question 80 of 100
A smart grid
ExplanationIt improves reliability and integrates renewable energy.
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Question 81 of 100
AI in healthcare can help doctors by
ExplanationIt supports diagnosis but does not replace doctors.
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Question 82 of 100
SLAM in robotics stands for
ExplanationA robot builds a map while locating itself on it.
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Question 83 of 100
According to the SAE scale, Level 5 driving automation means
ExplanationLevel 0 is no automation.
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Question 84 of 100
A deepfake is
ExplanationIt can be used for misinformation, so verification is important.
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Question 85 of 100
Algorithmic bias occurs when an AI system
ExplanationFor example, biased hiring tools.
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Question 86 of 100
Mixed reality (MR)
ExplanationAR overlays information while MR allows interaction.
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Question 87 of 100
Digital payments and online shopping are examples of
ExplanationThey use secure networks and apps.
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Question 88 of 100
A robot is a
ExplanationRobots are used in factories, hospitals and homes.
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Question 89 of 100
Convolutional neural networks (CNNs) are mainly used for
ExplanationConvolution layers detect features such as edges.
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Question 90 of 100
Self-driving cars use AI and
ExplanationThey also use radar and LiDAR.
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Question 91 of 100
3D printing builds objects by
ExplanationIt is also called additive manufacturing.
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Question 92 of 100
Narrow AI differs from AGI in that narrow AI
ExplanationToday's AI systems are considered narrow AI.
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Question 93 of 100
The three main types of machine learning are
ExplanationThey differ in the kind of feedback or data used.
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Question 94 of 100
A digital twin is a
ExplanationIt is used in manufacturing and smart cities.
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Question 95 of 100
An example of unsupervised learning is
ExplanationUnsupervised learning finds hidden patterns or clusters in unlabelled data.
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Question 96 of 100
A fingerprint scanner is an example of a
ExplanationBiometrics use unique body characteristics.
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Question 97 of 100
The main components of a robot are
ExplanationSensors sense, the controller decides and actuators act.
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Question 98 of 100
Face recognition is used to
ExplanationIt is used for unlocking phones and security.
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Question 99 of 100
ReLU, commonly used in neural networks, is a
ExplanationReLU(x) = max(0, x).
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Question 100 of 100
Edge AI refers to
ExplanationIt lowers latency and can improve privacy.
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