Question 1

What is a common issue associated with data characterized by sparse observations and many missing values?

Options :

A : Seasonality

B : Sparse data

C : Multicollinearity

D : Non-linearity

Answer: B

Question 2

Which of the following deployment environments involves hosting and running machine learning models on remote servers managed by third-party cloud service providers?

Options :

A : Edge deployment

B : Cloud deployment

C : Hybrid deployment

D : On-premises deployment

Answer: B

Question 3

What type of temporal model focuses on analyzing data collected over consecutive time intervals to detect patterns or trends?

Options :

A : Causal inference

B : Survival analysis

C : Time series

D : Longitudinal studies

Answer: C

Question 4

What is the primary objective of feature importance analysis in machine learning?

Options :

A : To select the best hyperparameters for the model

B : To preprocess the input data before training the model

C : To identify the most influential features for predicting the target variable

D : To evaluate the performance of a trained model

Answer: C

Question 5

What is the primary purpose of continuous integration/continuous deployment (CI/CD) pipelines in DevOps?

Options :

A : To select the best hyperparameters for the model

B : To preprocess the input data before training the model

C : To evaluate the performance of a trained model

D : To automate the process of building, testing, and deploying software changes

Answer: D

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