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SASInstitute A00-406 Exam Syllabus Topics:

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

1. In model evaluation, what is the purpose of a ROC curve (Receiver Operating Characteristic)?

A) To measure feature importance
B) To visualize data distribution
C) To compare models' performance in terms of sensitivity and specificity
D) To evaluate the mean squared error of a model

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

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

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

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

4. What is the significance of the "bias-variance trade-off" in machine learning?

A) It indicates the trade-off between accuracy and precision.
B) It is not relevant in machine learning.
C) It refers to the trade-off between the number of features and the model's complexity.
D) It represents the trade-off between underfitting and overfitting.

5. 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 compare two different versions of a model or strategy to determine which performs better
D) To evaluate the model's accuracy

Solutions: