Question 1

What is the term used to describe the process of combining multiple datasets based on a common key or attribute?

Options :

A : Merging/combining

B : Cleaning

C : Imputation

D : Encoding

Answer: A

Question 2

What technique is commonly used to handle imbalanced datasets by creating synthetic samples of the minority class?

Options :

A : SMOTE

B : Undersampling the majority class

C : Oversampling the minority class

D : Regularization

Answer: A

Question 3

Which of the following distance metrics for KNN is best described as a straight line?

Options :

A : Radial

B : Euclidean

C : Cosine

D : Manhattan

Answer: B

Question 4

Which statistical metric measures the degree of association between two ordinal variables?

Options :

A : Pearson correlation

B : Spearman correlation

C : R-squared

D : Kendall-s tau

Answer: B

Question 5

What is the purpose of k-fold cross-validation in machine learning?

Options :

A : To select the best hyperparameters for a model

B : To preprocess the input data before training the model

C : To evaluate the performance of a trained model

D : To assess the performance and generalization of a model by splitting the dataset into k subsets

Answer: D

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