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SASInstitute A00-406 Exam Syllabus Topics:

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

1. What is the purpose of an ROC curve (Receiver Operating Characteristic) in model assessment?

A) To measure feature importance
B) To visualize data distribution
C) To evaluate regression models
D) To compare a model's true positive rate with the false positive rate

2. What is "model versioning" in the context of model deployment?

A) The process of creating synthetic data
B) The process of evaluating model performance
C) The practice of keeping track of different versions of a model to maintain reproducibility
D) The process of training a model from scratch

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

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

4. What is the primary goal of building models in data science and machine learning?

A) Feature engineering
B) Making predictions or inferences from data
C) Data cleaning
D) Data visualization

5. What is the primary goal of A/B testing in the context of model deployment?

A) To compare two different versions of a model or strategy to determine which performs better
B) To create synthetic data
C) To evaluate the model's accuracy
D) To assess data quality

Solutions: