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

1. Which feature extraction method can take both interval variables and class variables as inputs?

A) Singular value decomposition
B) Principal component analysis
C) Robust PCA
D) Autoencoder

2. In the context of data sources, what is ETL?

A) Execute, Terminate, Launch
B) Examine, Test, Log
C) Efficient Text Link
D) Extract, Transform, Load

3. In natural language processing (NLP), what is a common preprocessing step for text data before building models?

A) One-Hot Encoding
B) Standardization
C) Principal Component Analysis (PCA)
D) Tokenization

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

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

5. Which metric is commonly used to evaluate the performance of a regression model?

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

Solutions: