Question 1

What is the benefit of versioning models during updates?

Options :

A : It increases model complexity

B : It helps track changes and manage different versions

C : It limits access to the model

D : It simplifies model deployment

Answer: B

Question 2

What is the impact of heteroscedasticity on regression analysis?

Options :

A : It simplifies the model

B : It violates the assumption of constant variance

C : It improves model accuracy

D : It reduces multicollinearity

Answer: B

Question 3

What is the goal of exploratory data analysis (EDA)?

Options :

A : To validate data hypotheses

B : To explore and understand data patterns

C : To optimize data algorithms

D : To clean and prepare data

Answer: B

Question 4

How does "stratified sampling" improve model training?

Options :

A : By ensuring each class is represented proportionally in the sample

B : By reducing the size of the dataset

C : By increasing the number of features

D : By simplifying the model architecture

Answer: A

Question 5

Why is it important to understand the context of the data during acquisition?

Options :

A : To increase data volume

B : To ensure data accuracy and relevance

C : To select visualization tools

D : To simplify data analysis

Answer: B

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