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SASInstitute A00-406 Exam Syllabus Topics:

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

1. Which metric is commonly used to evaluate the performance of a regression model?

A) Precision
B) Mean Absolute Error (MAE)
C) F1 Score
D) Confusion Matrix

2. What is a common example of an external data source for an organization?

A) Employee databases
B) Internal emails
C) Intranet portals
D) Customer surveys

3. In the context of model deployment, what is "model compliance"?

A) The degree to which the model adheres to regulatory or ethical guidelines
B) The model's efficiency
C) The model's simplicity
D) The process of feature selection

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

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

5. Which machine learning technique is typically used for building a model to predict a numeric target variable?

A) Classification
B) Regression
C) Clustering
D) Dimensionality reduction

Solutions: