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

1. Which of the following is a common source for external data in the context of business analytics?

A) Employee records
B) Company financial reports
C) CRM data
D) Intranet databases

2. When building a recommendation system, which type of filtering is based on the user's behavior and preferences?

A) Collaborative filtering
B) Content-based filtering
C) Matrix factorization
D) Singular Value Decomposition (SVD)

3. When deploying a machine learning model, what is "model drift"?

A) A sudden increase in the model's accuracy
B) The process of feature extraction
C) A measure of feature importance
D) A change in the distribution of the input data or target variable over time

4. What is the primary purpose of model documentation in the model deployment phase?

A) To assess data quality
B) To create synthetic data
C) To evaluate the model's accuracy
D) To provide information on the model's development, architecture, and usage

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

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

Solutions: