SASInstitute A00-406 : SAS® Viya® Supervised Machine Learning Pipelines

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SASInstitute A00-406 Exam Syllabus Topics:

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

Question #1
What is the purpose of regularization techniques in model building, such as L1 and L2 regularization?

A. To prevent overfitting and reduce model complexity
B. To add more features to the model
C. To speed up model training
D. To increase model complexity

Question #2
What is the purpose of a "canary release" in the context of model deployment?

A. To create synthetic data
B. To evaluate model accuracy
C. To deploy a new model version to a small subset of users or systems for testing
D. To assess data quality

Question #3
In the context of data sources, what is ETL?

A. Efficient Text Link
B. Execute, Terminate, Launch
C. Examine, Test, Log
D. Extract, Transform, Load

Question #4
In model evaluation, what is the purpose of a ROC curve (Receiver Operating Characteristic)?

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

Question #5
What is the primary purpose of model assessment in the context of data science and machine learning?

A. Data visualization
B. Evaluating and selecting the best-performing model
C. Model building
D. Data preprocessing

Solutions: