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

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

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

3. What is the primary difference between supervised and unsupervised learning in model building?

A) The use of feature engineering
B) The amount of labeled data required
C) The presence or absence of a target variable
D) The type of data used

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

5. Which of the following metrics is commonly used to evaluate the performance of a binary classification model in a machine learning pipeline?

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

Solutions: