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

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

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

2. A project has been created and a pipeline has been run in Model Studio.
Which project setting can you edit?

A) Event-based Sampling proportions
B) Rules for model comparison statistic
C) Advisor Options for missing values
D) Partition Data percentages

3. Which technique is commonly used for feature scaling or normalization in machine learning pipelines?

A) Standardization
B) Principal Component Analysis (PCA)
C) One-Hot Encoding
D) Decision Trees

4. What is feature engineering in the context of machine learning pipelines?

A) Creating new features from existing data
B) Building a machine learning model from scratch
C) Applying the model to new data
D) Testing the model's performance

5. Which hyperparameter in a decision tree model controls the depth of the tree and helps prevent overfitting?

A) Max depth
B) Min samples split
C) Learning rate
D) Max features

Solutions: