General MCQs
1372 questions available
FILTER BY SUBTOPIC
Q601.Which evaluation metric measures the average squared difference between predictions and actual values in regression?
Correct Answer: B
Mean Squared Error (MSE) is a standard metric used to measure model accuracy for continuous regression tasks.
Q602.What is 'data augmentation' commonly used for?
Correct Answer: D
Data augmentation applies random transformations (like rotation, scaling, or cropping) to existing training data to create diverse new samples.
Q603.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.
Q604.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.
Q605.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.
Q606.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.
Q607.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.
Q608.Which of the following best defines 'big data'?
Correct Answer: C
Big data refers to data collections characterized by immense volume, high velocity, and extreme variety that exceed traditional RDBMS processing capacities.
Q609.For A* to guarantee an optimal solution, the heuristic must be:
Correct Answer: B
An admissible heuristic never overestimates the true cost, ensuring A* optimality.
Q610.A model performs 99% on training data but 60% on test data. The most likely issue is:
Correct Answer: D
A large train-test gap indicates overfitting (poor generalization).
Q611.Which technique is specifically designed to combat the vanishing gradient problem in deep RNNs?
Correct Answer: D
LSTM and GRU use gating mechanisms to preserve gradients across long sequences.
Q612.The 'exploration vs exploitation' trade-off is central to:
Correct Answer: D
RL agents must balance exploring new actions and exploiting known rewarding ones.
Q613.Which method explains individual predictions by attributing importance to each feature?
Correct Answer: B
SHAP and LIME are XAI techniques that attribute feature contributions to predictions.
Q614.The area under the ROC curve (AUC) of 0.5 indicates a model that is:
Correct Answer: D
AUC of 0.5 means the classifier performs no better than random chance.
Q615.Which generative model uses a diffusion process to create images?
Correct Answer: D
Stable Diffusion is a diffusion-based generative model for image creation.
Q616.Which technique compresses a large model into a smaller one while retaining performance?
Correct Answer: A
Knowledge distillation transfers knowledge from a large 'teacher' to a small 'student' model.
Q617.Which embedding model captures word meaning using surrounding context (contextual embeddings)?
Correct Answer: B
BERT produces contextual embeddings that vary with surrounding words.
Q618.Which approach trains a model across decentralized devices without sharing raw data?
Correct Answer: B
Federated learning trains models on-device, sharing updates not raw private data.
Q619.Which is a limitation of rule-based expert systems compared to ML?
Correct Answer: B
Rule-based systems require manual rules and handle uncertainty/scale poorly.
Q620.What does 'precision' measure in classification?
Correct Answer: D
Precision = TP / (TP + FP): correctness among predicted positives.