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SASInstitute A00-406 Exam Syllabus Topics:

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

1. Which evaluation metric is commonly used for assessing the performance of a regression model?

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

2. Refer to the treemap shown in the exhibit below:

Which statement is true about the tree map for a decision tree with a binary target?

A) The wider bars represent nodes with a higher probability of event.
B) The top bar represents the node with the highest probability of event.
C) The top bar represents the node with the highest count.
D) The darker bars represent nodes with a lower probability of event.

3. What is metadata in the context of data sources?

A) Data about data, providing information such as data source, structure, and context
B) Data that is in a non-standard, proprietary format
C) Data that is stored in a physical format
D) Data that is encrypted for security

4. Which algorithm is commonly used for binary classification in machine learning pipelines, especially when dealing with imbalanced datasets?

A) K-Means Clustering
B) Principal Component Analysis (PCA)
C) Linear Regression
D) Support Vector Machine (SVM)

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

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

Solutions: