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

1. Which type of model is commonly used for anomaly detection in datasets?

A) Linear Regression
B) Clustering Models
C) Decision Trees
D) Principal Component Analysis (PCA)

2. When building a deep learning neural network, what is the purpose of the activation function in each neuron?

A) To control the number of hidden layers
B) To initialize the model
C) To define the learning rate
D) To introduce non-linearity

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

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

4. What is the purpose of an ROC curve (Receiver Operating Characteristic) in model assessment?

A) To visualize data distribution
B) To measure feature importance
C) To compare a model's true positive rate with the false positive rate
D) To evaluate regression models

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

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

Solutions: