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SASInstitute A00-406 Exam Syllabus Topics:

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

1. What is the primary purpose of a supervised machine learning pipeline in SAS Viya?

A) Model training and evaluation
B) Data visualization
C) Data storage and retrieval
D) Data preprocessing and cleaning

2. In the context of model assessment, what does "bias" refer to?

A) A systematic error that causes a model to consistently overpredict
B) The simplicity of the model
C) A measure of the model's precision
D) The process of feature engineering

3. 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

4. Given the following properties for a neural network model, which statement is true regrading hidden units in the model? The following SAS program is submitted:

A) The number of hidden units is 50.
B) The number of hidden units is 26.
C) There are no hidden units in the model.
D) The number of hidden units is 1.

5. What is the purpose of a "canary release" in the context of model deployment?

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

Solutions: