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SASInstitute A00-406 Exam Syllabus Topics:

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

1. Refer to the treemap shown in the exhibit below:

Which statement is true about the tree map for a decision tree with a binary target?

A) The wider bars represent nodes with a higher probability of event.
B) The top bar represents the node with the highest count.
C) The top bar represents the node with the highest probability of event.
D) The darker bars represent nodes with a lower probability of event.

2. Which data source allows for real-time data streaming and processing?

A) Cloud storage
B) Static data files
C) Data warehouses
D) IoT devices

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

4. What is the main advantage of ensemble learning methods, such as Random Forest, in a machine learning pipeline?

A) They combine multiple models to improve predictive performance.
B) They require minimal data preprocessing.
C) They are simple and easy to interpret.
D) They are not suitable for large datasets.

5. What is the primary role of a loss function in model training?

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

Solutions: