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

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

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

2. In a machine learning pipeline, what is the purpose of cross-validation?

A) To train multiple models on different subsets of the data to assess generalization
B) To visualize the data distribution
C) To evaluate the model's performance on new data
D) To split the dataset into training and testing sets

3. In reinforcement learning, what is the "reward signal"?

A) The final prediction made by the model
B) The accuracy of the model's predictions
C) A regularization parameter
D) A numerical value that indicates the performance of an action taken by the agent

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

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

5. Which SAS Viya component is typically used for deploying and monitoring machine learning models in production?

A) SAS Visual Analytics
B) SAS Model Manager
C) SAS Enterprise Miner
D) SAS Data Loader

Solutions: