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SASInstitute SAS® Viya® Supervised Machine Learning Pipelines Sample Questions:

1. What is the difference between a classification problem and a regression problem in machine learning?

A) There is no difference; the terms are used interchangeably.
B) Classification predicts categorical outcomes, while regression predicts numeric outcomes.
C) Regression predicts categorical outcomes, while classification predicts numeric outcomes.
D) Classification is a type of regression problem.

2. What is the primary purpose of model deployment in the context of data science and machine learning?

A) Making the model available for use in real-world applications
B) Model evaluation
C) Model building
D) Data preprocessing

3. In the context of data integration, what does "data transformation" refer to?

A) Extracting data from source systems
B) Backing up data for disaster recovery
C) Converting and reshaping data to match the target schema
D) Storing data in a centralized repository

4. When building a deep learning neural network, what is the purpose of the activation function in each neuron?

A) To define the learning rate
B) To control the number of hidden layers
C) To initialize the model
D) To introduce non-linearity

5. What is the primary goal of hyperparameter tuning during model building?

A) To increase model complexity
B) To optimize the settings that control the model's learning process
C) To improve data preprocessing techniques
D) To add more features to the model

Solutions: