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SASInstitute A00-406 Exam Syllabus Topics:

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

1. What does the term "bias" in machine learning refer to?

A) Systematic errors that cause a model to consistently underpredict or overpredict
B) The simplicity of a model
C) A model's inability to generalize to new data
D) The overall accuracy of a model

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

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

3. When deploying a model, what is "model explainability"?

A) The simplicity of the model
B) The time it takes to make predictions
C) The capability to interpret and understand the model's decisions and predictions
D) The process of data preprocessing

4. Which of the following is NOT a common data format for exchanging data between systems?

A) CSV (Comma-Separated Values)
B) SQL (Structured Query Language)
C) HTML (Hypertext Markup Language)
D) JSON (JavaScript Object Notation)

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

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

Solutions: