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

1. What is the primary function of a data catalog in managing data sources?

A) Data documentation and discovery
B) Data storage
C) Data analysis
D) Data visualization

2. Which statement is true regarding decision trees and models based on ensembles of trees?

A) In the Forest algorithm, each individual tree is pruned based on using minimum Average Squared Error.
B) In the gradient boosting algorithm, for all but the first iteration, the target is the residual from the previous decision tree model.
C) For a Forest model, the out-of-bag sample is simply the original validation data set from when the raw data partitioning took place.
D) A single decision tree will always be outperformed by a model based on an ensemble of trees.

3. Which evaluation metric is commonly used for assessing the performance of a regression model?

A) Confusion Matrix
B) Mean Absolute Error (MAE)
C) Precision
D) F1 Score

4. What is the primary difference between supervised and unsupervised learning in model building?

A) The use of feature engineering
B) The presence or absence of a target variable
C) The amount of labeled data required
D) The type of data used

5. What is the purpose of cross-validation in model building and evaluation?

A) Generating synthetic data
B) Assessing the model's generalization performance
C) Splitting the dataset into training and testing sets
D) Reducing the dataset size

Solutions: