Computer Terminology
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Q121.Which machine learning approach combines multiple base models to improve overall accuracy?
Correct Answer: C
Ensemble learning combines predictions from multiple individual machine learning models (e.g., bagging or boosting) to construct a stronger model.
Q122.The 'Random Forest' algorithm is an ensemble of which base learners?
Correct Answer: C
Random Forest is a popular bagging ensemble classifier constructed by aggregating many independent decision trees.
Q123.Which of the following is an unsupervised density-based clustering algorithm?
Correct Answer: B
DBSCAN is a powerful unsupervised density-based spatial clustering algorithm that identifies clusters and handles outliers/noise.
Q124.Which AI capability primarily allows self-driving cars to 'see' and interpret the road?
Correct Answer: C
Computer Vision allows autonomous vehicles to ingest visual data from cameras, detecting lanes, signs, pedestrians, and obstacles in real-time.
Q125.What is 'bias' in a machine learning dataset?
Correct Answer: B
Data bias represents systematic prejudice or skew present in the training collection, leading to unfair or distorted model predictions.
Q126.What is the main function of a 'pooling layer' in a Convolutional Neural Network (CNN)?
Correct Answer: D
Pooling layers downsample feature maps, reducing spatial size (width/height) to lower computational load and manage overfitting.
Q127.Which AI term refers to a model output that is fabricated but presented confidently as fact?
Correct Answer: D
An AI hallucination is a false, fabricated, or ungrounded response produced by an LLM that appears highly realistic and confident.
Q128.What does 'IoT' refer to when combined with AI for smart home/city systems?
Correct Answer: A
The Internet of Things (IoT) describes the network of physical objects embedded with sensors and software that communicate and share data.
Q129.Which AI field deals with teaching machines to understand and transcribe spoken words?
Correct Answer: D
Speech recognition (or Automatic Speech Recognition - ASR) is the AI domain enabling computer systems to transcribe human speech into text.
Q130.Which of the following is a structured way of representing stereotyped, structured knowledge in AI systems?
Correct Answer: D
Frames are an AI knowledge representation method that groups information into slots and fillers to represent complex concepts.
Q131.What is the key advantage of the A* algorithm over Greedy Best-First Search?
Correct Answer: B
A* combines the actual path cost g(n) and the heuristic cost h(n) to guarantee finding the optimal shortest path.
Q132.Which neural network type is 'autoencoder' primarily used for?
Correct Answer: C
Autoencoders are unsupervised neural networks designed to learn efficient data codings (compression) and reconstruct inputs.
Q133.Which company developed 'Grok', a conversational AI chatbot?
Correct Answer: C
Grok is an AI chatbot developed by Elon Musk's research startup xAI, integrated with real-time web access.
Q134.In AI ethics, 'accountability' means?
Correct Answer: D
Accountability ensures that the designers, operators, and organizations behind AI models remain responsible for their actions and failures.
Q135.What is 'prompt engineering'?
Correct Answer: B
Prompt engineering is the strategic craft of authoring inputs to guide generative AI models toward high-quality, targeted outputs.
Q136.Which of the following is a primary benefit of Explainable AI (XAI)?
Correct Answer: C
Explainable AI (XAI) refers to methods and techniques that make machine learning model decisions transparent and easily interpretable by human operators.
Q137.What does 'CV' commonly stand for in the context of Artificial Intelligence?
Correct Answer: A
CV stands for Computer Vision, which is the scientific subfield of AI enabling machines to process and understand visual media.
Q138.Which AI method groups similar customers or data points together without predefined labels?
Correct Answer: D
Clustering is a classic unsupervised learning technique used to group unlabeled data points into distinct, homogeneous clusters.
Q139.What is the function of a 'softmax' activation layer in a classification neural network?
Correct Answer: D
Softmax squashes an n-dimensional vector of raw scores into a vector of probability values, enabling multi-class classification.
Q140.Which AI concept allows deep learning models to dynamically focus on the most relevant parts of an input sequence?
Correct Answer: C
The attention mechanism (and self-attention) allows models to dynamically weight input parts based on context, forming the backbone of Transformers.