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

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

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

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

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

3. What is the primary objective of model validation during the model assessment phase?

A) To ensure the model generalizes well to new, unseen data
B) To build a model from scratch
C) To create synthetic data
D) To assess the accuracy of the model

4. Which of the following is NOT a common data format for exchanging data between systems?

A) HTML (Hypertext Markup Language)
B) SQL (Structured Query Language)
C) JSON (JavaScript Object Notation)
D) CSV (Comma-Separated Values)

5. What is the purpose of data profiling in data source management?

A) To optimize data storage
B) To execute data queries
C) To create data visualizations
D) To assess the quality and characteristics of data

Solutions: