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

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

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

2. What is the primary purpose of a supervised machine learning pipeline in SAS Viya?

A) Data preprocessing and cleaning
B) Data visualization
C) Data storage and retrieval
D) Model training and evaluation

3. 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 building
C) Data preprocessing
D) Model evaluation

4. Refer to the exhibit below:

Based on the output from the Data Exploration node shown in the exhibit, which variable has the most thin tails (most platykurtic distribution)?

A) Logi_rfm6
B) Logi_rfm12
C) Logi_rfm8
D) Logi_rfm4

5. In a supervised learning pipeline, what is the role of the training data set?

A) To train the machine learning model
B) To evaluate the model's predictions
C) To test the model's generalization capability
D) To validate the model's performance

Solutions: