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SASInstitute A00-406 Exam Syllabus Topics:

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

1. In the context of model assessment, what does "bias" refer to?

A) The process of feature engineering
B) A measure of the model's precision
C) A systematic error that causes a model to consistently overpredict
D) The simplicity of the model

2. Which type of data source typically stores structured data in a tabular format?

A) NoSQL databases
B) APIs
C) Relational databases
D) Text documents

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

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

4. When assessing a classification model, what is the confusion matrix used to measure?

A) Data distribution
B) Precision and recall
C) Model accuracy
D) Model complexity

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

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

Solutions: