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

1. When building a recommendation system, what does "collaborative filtering" rely on?

A) The past behavior or preferences of users
B) The characteristics of the items being recommended
C) The popularity of items
D) Item-based clustering

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

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

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

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

4. What is the primary purpose of model documentation in the model deployment phase?

A) To evaluate the model's accuracy
B) To create synthetic data
C) To provide information on the model's development, architecture, and usage
D) To assess data quality

5. What is feature engineering in the context of machine learning pipelines?

A) Building a machine learning model from scratch
B) Testing the model's performance
C) Creating new features from existing data
D) Applying the model to new data

Solutions: