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

1. Which algorithm is commonly used for decision-making tasks in classification models?

A) Linear Regression
B) Decision Trees
C) Principal Component Analysis (PCA)
D) K-Means

2. What is the main advantage of ensemble methods in model building?

A) They work well with high-dimensional data
B) They require minimal data preprocessing
C) They produce simple and interpretable models
D) They combine multiple models to improve predictive performance

3. What is a data lake?

A) A backup system for relational databases
B) A data storage solution designed for high-speed data retrieval
C) A centralized repository for storing all structured and unstructured data at any scale
D) A specialized database for time-series data

4. What is the primary objective of model validation during the model assessment phase?

A) To create synthetic data
B) To build a model from scratch
C) To assess the accuracy of the model
D) To ensure the model generalizes well to new, unseen data

5. Refer to the treemap shown in the exhibit below:

Which statement is true about the tree map for a decision tree with a binary target?

A) The top bar represents the node with the highest count.
B) The darker bars represent nodes with a lower probability of event.
C) The top bar represents the node with the highest probability of event.
D) The wider bars represent nodes with a higher probability of event.

Solutions: