Computer Terminology
603 questions available
FILTER BY SUBTOPIC
Q101.In a machine learning confusion matrix, what does a 'False Positive' represent?
Correct Answer: A
A False Positive occurs when a model incorrectly flags a negative case as positive (e.g., classifying a healthy patient as sick).
Q102.What does 'overfitting' in machine learning mean?
Correct Answer: A
Overfitting occurs when a model learns the noise and details of the training data too well, failing to generalize to unseen test datasets.
Q103.What is the primary purpose of the backpropagation algorithm?
Correct Answer: B
Backpropagation computes gradients of the loss function and updates neural network weights to minimize errors.
Q104.Which of the following is a popular generative AI model for synthesizing images from text?
Correct Answer: D
DALL·E is OpenAI's generative model designed to synthesize creative, original images from natural language descriptions.
Q105.What is a 'hyperparameter' in machine learning?
Correct Answer: D
Hyperparameters are external settings (like learning rate or batch size) configured by engineers before model training.
Q106.Which deep learning technique helps reduce overfitting by randomly disabling neurons during training?
Correct Answer: B
Dropout randomly deactivates a fraction of neurons during each training step, preventing co-adaptation and improving generalization.
Q107.Depth-First Search (DFS) typically uses which data structure?
Correct Answer: C
DFS uses a Stack (or function call stack via recursion) to explore deeply down a branch before backtracking.
Q108.What does 'epoch' mean in neural network training?
Correct Answer: A
An epoch represents one full training cycle where the complete training dataset has been passed forward and backward through the network once.
Q109.Which AI subfield enables machines to make decisions by applying rules like human experts?
Correct Answer: D
Expert Systems represent a classic AI field that mimics the logical decision-making of human domain experts using predefined rule bases.
Q110.Which type of neural network is best suited for sequential, temporal, or time-series data?
Correct Answer: A
Recurrent Neural Networks (RNNs) feature internal memory loops, making them ideal for processing sequence data like text and time-series.
Q111.What is the vanishing gradient problem associated with?
Correct Answer: A
Vanishing gradients occur when error signals shrink exponentially as they propagate backward through deep networks, stopping early layers from learning.
Q112.Which technique generates new realistic data by setting two neural networks in competition?
Correct Answer: A
Generative Adversarial Networks (GANs) utilize a generator (creating fakes) and a discriminator (checking authenticity) in a game-theoretic competition.
Q113.What is 'transfer learning' in machine learning?
Correct Answer: C
Transfer learning leverages knowledge learned from training on a massive dataset to accelerate learning on a new, related task.
Q114.What does the term 'feature' mean in machine learning?
Correct Answer: C
A feature is an explanatory variable or individual input column used by machine learning models to make predictions.
Q115.Which AI large language model family powers Anthropic's chatbot?
Correct Answer: B
Claude is Anthropic's flagship family of highly advanced large language models.
Q116.Which machine learning algorithm is a supervised classification method based on finding optimal separating hyperplanes?
Correct Answer: A
Support Vector Machine (SVM) is a supervised algorithm that searches for the optimal hyperplane maximizing the margins between classes.
Q117.What is the role of the 'learning rate' in training deep neural networks?
Correct Answer: D
The learning rate is a critical hyperparameter that dictates the step size taken by the optimization algorithm (like SGD) toward a minimum loss.
Q118.In digital forensics, AI is primarily used to?
Correct Answer: B
AI systems assist forensic investigators by quickly searching, categorizing, and filtering through massive sets of hard drive or chat log evidence.
Q119.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.
Q120.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.