Question 1

What should be included in a problem statement to ensure clarity?

Options :

A : Technical specifications

B : Expected business outcomes

C : Data cleaning methods

D : Visualization tools

Answer: B

Question 2

What is the role of a model’s "learning rate" in training?

Options :

A : It controls the speed at which the model learns from data

B : It determines the number of features used

C : It adjusts the model-s complexity

D : It modifies the data distribution

Answer: A

Question 3

What is the purpose of a Monte Carlo simulation in analytics?

Options :

A : To perform descriptive analysis

B : To assess risk and uncertainty

C : To cluster data

D : To normalize data

Answer: B

Question 4

What is data wrangling?

Options :

A : The process of combining datasets

B : The process of transforming and cleaning data

C : The process of visualizing data

D : The process of collecting data

Answer: B

Question 5

Which technique is used to analyze categorical data?

Options :

A : Logistic regression

B : Linear regression

C : Time series analysis

D : Hierarchical clustering

Answer: A