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SASInstitute A00-406 Exam Syllabus Topics:

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

1. What is the purpose of regularization techniques in model building, such as L1 and L2 regularization?

A) To increase model complexity
B) To speed up model training
C) To prevent overfitting and reduce model complexity
D) To add more features to the model

2. Which data source typically provides access to real-time financial market data?

A) Stock market APIs
B) Social media platforms
C) Weather stations
D) Online news websites

3. What is the purpose of data profiling in data source management?

A) To assess the quality and characteristics of data
B) To create data visualizations
C) To optimize data storage
D) To execute data queries

4. In model assessment, what does "cross-validation" aim to address?

A) Training a model
B) Model deployment
C) Overfitting and generalization
D) Data preprocessing

5. Which of the following is a common source for external data in the context of business analytics?

A) Intranet databases
B) Company financial reports
C) Employee records
D) CRM data

Solutions: