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

1. What is the primary objective of model evaluation in the context of building predictive models?

A) Cleaning the data
B) Visualizing data
C) Assessing the model's performance and accuracy
D) Discovering patterns in data

2. A project has been created and a pipeline has been run in Model Studio.
Which project setting can you edit?

A) Partition Data percentages
B) Rules for model comparison statistic
C) Event-based Sampling proportions
D) Advisor Options for missing values

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

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

4. What is the purpose of a confusion matrix in the context of classification models?

A) To visualize the data
B) To summarize the distribution of target variables
C) To evaluate model performance, especially for binary classification
D) To compute the mean squared error

5. What is "model reevaluation" in the model deployment phase?

A) The process of selecting features
B) The evaluation of data distribution
C) The process of data preprocessing
D) The periodic assessment of a deployed model's performance and potential retraining

Solutions: