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SASInstitute A00-406 Exam Syllabus Topics:

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

1. 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 measure the difference between predicted and actual values
D) To maximize the model's performance

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

A) Accuracy
B) Mean Absolute Error (MAE)
C) R-squared
D) Root Mean Squared Error (RMSE)

3. In the context of data integration, what does "data transformation" refer to?

A) Converting and reshaping data to match the target schema
B) Backing up data for disaster recovery
C) Storing data in a centralized repository
D) Extracting data from source systems

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

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

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

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

Solutions: