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SASInstitute A00-406 Exam Syllabus Topics:

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

1. Which type of model is well-suited for solving classification problems when dealing with high- dimensional data, such as text?

A) Support Vector Machine (SVM)
B) Linear Regression
C) K-Means Clustering
D) Random Forest

2. What is the main advantage of using a RESTful API (Representational State Transfer) as a data source?

A) High security features
B) Support for complex data structures
C) Real-time data processing
D) Simple and standardized communication

3. In the context of data sources, what is ETL?

A) Execute, Terminate, Launch
B) Efficient Text Link
C) Examine, Test, Log
D) Extract, Transform, Load

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

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

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

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

Solutions: