Computer — All MCQs
4795 questions available
Q1941.Which of these is NOT a core category of machine learning?
Correct Answer: C
The three primary paradigms of machine learning are Supervised, Unsupervised, and Reinforcement Learning.
Q1942.An algorithm that improves automatically through experience is the core idea of?
Correct Answer: D
Machine learning is the scientific study of algorithms that allow computers to learn and improve tasks automatically using data.
Q1943.Which of the following is a popular AI chatbot developed by OpenAI?
Correct Answer: A
ChatGPT is OpenAI's conversational generative AI chatbot first released in November 2022.
Q1944.What is the main goal of Computer Vision?
Correct Answer: D
Computer Vision is a field of AI that trains computers to interpret and understand the visual world (images and videos).
Q1945.A robot is best described as?
Correct Answer: B
A robot is an autonomous or semi-autonomous physical machine programmable to carry out complex series of actions.
Q1946.What does 'training data' mean in machine learning?
Correct Answer: B
Training data is the initial dataset used to train a machine learning model, helping it learn weights and rules.
Q1947.Which company developed the multimodal AI model family 'Gemini'?
Correct Answer: A
Gemini (formerly Bard) is Google's state-of-the-art family of highly advanced multimodal AI models.
Q1948.What is an 'algorithm'?
Correct Answer: B
An algorithm is a finite, ordered sequence of mathematical or logical steps to solve a specific problem.
Q1949.Which term describes AI that can perform any intellectual task a human can?
Correct Answer: A
Artificial General Intelligence (AGI) represents hypothetical AI systems with human-level general intelligence across multiple domains.
Q1950.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).
Q1951.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.
Q1952.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.
Q1953.What does 'NLP' stand for?
Correct Answer: D
NLP stands for Natural Language Processing, which is the field of AI focused on enabling computers to understand human language.
Q1954.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.
Q1955.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.
Q1956.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.
Q1957.The 'GPT' in ChatGPT stands for?
Correct Answer: D
GPT stands for Generative Pre-trained Transformer, an advanced transformer-based neural network architecture optimized for language tasks.
Q1958.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.
Q1959.Which evaluation metric is best suited for assessing imbalanced classification datasets?
Correct Answer: B
The F1-Score represents the harmonic mean of precision and recall, making it highly robust for imbalanced datasets.
Q1960.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.