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SASInstitute A00-406 Exam Syllabus Topics:

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

2. What is the difference between a classification problem and a regression problem in machine learning?

A) Classification predicts categorical outcomes, while regression predicts numeric outcomes.
B) Regression predicts categorical outcomes, while classification predicts numeric outcomes.
C) Classification is a type of regression problem.
D) There is no difference; the terms are used interchangeably.

3. In the context of data sources, what is meant by data versioning?

A) Storing multiple copies of the same data to increase redundancy
B) Compressing data to reduce storage space
C) Keeping track of different versions or changes to data over time
D) Encrypting data to protect against unauthorized access

4. Given the following properties for a neural network model, which statement is true regrading hidden units in the model? The following SAS program is submitted:

A) The number of hidden units is 1.
B) The number of hidden units is 50.
C) The number of hidden units is 26.
D) There are no hidden units in the model.

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

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

Solutions: