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

1. Which technique is used for feature selection in a machine learning pipeline when dealing with a large number of features?

A) Principal Component Analysis (PCA)
B) Regularization
C) Naive Bayes
D) One-Hot Encoding

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

3. Which machine learning technique is typically used for building a model to predict a numeric target variable?

A) Classification
B) Clustering
C) Regression
D) Dimensionality reduction

4. In the context of model assessment, what does "bias" refer to?

A) The simplicity of the model
B) A measure of the model's precision
C) A systematic error that causes a model to consistently overpredict
D) The process of feature engineering

5. What is the primary role of a data warehouse in an organization?

A) Data transformation and cleaning
B) Data exploration and visualization
C) Long-term data storage and analysis
D) Real-time data analysis

Solutions: