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SASInstitute A00-406 Exam Syllabus Topics:

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

Question #1
Which data source allows for real-time data streaming and processing?

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

Question #2
In the context of model building, what is the purpose of hyperparameter tuning?

A. Optimizing the model's hyperparameters for better performance
B. Training the model
C. Visualizing data
D. Selecting the most important features

Question #3
What does API stand for in the context of data sources?

A. Application Programming Interface
B. Automated Program Integration
C. Application Program Interface
D. Advanced Programming Integration

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

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

A. Model building
B. Making the model available for use in real-world applications
C. Data preprocessing
D. Model evaluation

Solutions: