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

1. Which algorithm is commonly used for binary classification in machine learning pipelines, especially when dealing with imbalanced datasets?

A) Principal Component Analysis (PCA)
B) Support Vector Machine (SVM)
C) K-Means Clustering
D) Linear Regression

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

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

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

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

4. What is the primary goal of building models in data science and machine learning?

A) Data cleaning
B) Making predictions or inferences from data
C) Data visualization
D) Feature engineering

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

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

Solutions: