Computer — All MCQs
4795 questions available
Q1981.Which AI application is commonly used to detect fraudulent financial transactions?
Correct Answer: A
Anomaly detection models scan transactions to identify outliers or unusual patterns that deviate from normal user behavior, flagging potential fraud.
Q1982.What is 'facial recognition' an example of?
Correct Answer: C
Facial recognition is a prominent computer vision technology designed to identify or verify a person from digital images or video frames.
Q1983.Which technique is used in NLP to convert words into numerical vectors?
Correct Answer: B
Word embeddings represent words as dense vectors in a continuous vector space, mapping semantic meanings closer together.
Q1984.What does 'inference' mean in a deployed AI model?
Correct Answer: D
Inference is the phase where a fully trained machine learning model is deployed to run and calculate predictions on real-world inputs.
Q1985.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.
Q1986.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.
Q1987.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.
Q1988.What does 'OCR' stand for in AI?
Correct Answer: C
OCR stands for Optical Character Recognition, a technology used to convert printed or handwritten text images into editable, machine-encoded text.
Q1989.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.
Q1990.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.
Q1991.Which method removes irrelevant or redundant features to speed up and simplify models?
Correct Answer: C
Feature selection is the process of isolating the most relevant input variables to reduce dimensionality and training time.
Q1992.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.
Q1993.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.
Q1994.Which of the following is a technique used to prevent overfitting by penalizing large weights?
Correct Answer: B
Regularization (like L1/L2 lasso and ridge) adds a penalty term to the loss function to prevent weights from growing excessively large, discouraging overfitting.
Q1995.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.
Q1996.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.
Q1997.In knowledge representation, how does a 'semantic network' structure knowledge?
Correct Answer: C
Semantic networks represent semantic relationships between concepts using a network of directed/undirected graphs containing nodes and links.
Q1998.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.
Q1999.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.
Q2000.Which technique is used to handle and fill in missing values in a dataset?
Correct Answer: D
Imputation is the data preprocessing step where missing data columns are filled in using statistics (like mean or median) or model predictions.