Question 1

What is the primary purpose of reinforcement learning in machine learning?

Options :

A : To enable agents to learn optimal actions through trial and error

B : To preprocess the input data before training the model

C : To select the best hyperparameters for the model

D : To evaluate the performance of a trained model

Answer: A

Question 2

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

Question 3

Which of the following is a tree-based ensemble learning algorithm that builds multiple decision trees and merges them together to get a more accurate and stable prediction?

Options :

A : Decision tree

B : Random forest

C : Bagging

D : Gradient boosting

Answer: B

Question 4

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 5

In neural networks, what type of layer is responsible for reducing the dimensionality of the input data?

Options :

A : Hidden

B : Pooling

C : Output

D : Input

Answer: B