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

1. 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

2. What is the primary purpose of model deployment in the context of data science and machine learning?

A) Model building
B) Model evaluation
C) Making the model available for use in real-world applications
D) Data preprocessing

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

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

4. What is a data lake architecture designed to store primarily?

A) Highly structured data in tabular format
B) Data from a single source or department
C) Only unstructured data in raw form
D) All types of data, including structured and unstructured data

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

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

Solutions: