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SASInstitute A00-406 Exam Syllabus Topics:

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

1. 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

2. In a supervised learning pipeline, what is the role of the training data set?

A) To validate the model's performance
B) To evaluate the model's predictions
C) To test the model's generalization capability
D) To train the machine learning model

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

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

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

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

5. What is the primary role of a loss function in model training?

A) To measure the difference between predicted and actual values
B) To maximize the model's performance
C) To visualize the data
D) To assess the accuracy of the model

Solutions: