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

1. In reinforcement learning, what is the agent's objective?

A) To learn from labeled data
B) To maximize a cumulative reward over time
C) To make predictions
D) To generate synthetic data

2. What is the primary role of a data warehouse in an organization?

A) Real-time data analysis
B) Data exploration and visualization
C) Long-term data storage and analysis
D) Data transformation and cleaning

3. When building a recommendation system, which type of filtering is based on the user's behavior and preferences?

A) Content-based filtering
B) Matrix factorization
C) Collaborative filtering
D) Singular Value Decomposition (SVD)

4. What is the main purpose of feature engineering in model building?

A) Creating new features or transforming existing ones to improve model performance
B) Data visualization
C) Model evaluation
D) Data preprocessing

5. Which evaluation metric is commonly used for assessing the performance of a binary classification model?

A) R-squared
B) Root Mean Squared Error (RMSE)
C) Accuracy
D) Mean Absolute Error (MAE)

Solutions: