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SASInstitute A00-406 Exam Syllabus Topics:

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

1. Which machine learning technique is typically used for building a model to predict a numeric target variable?

A) Regression
B) Clustering
C) Classification
D) Dimensionality reduction

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

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

3. What does "feature selection" refer to in the context of model building?

A) The process of choosing the most relevant variables (features) for the model
B) The evaluation of model accuracy
C) The creation of synthetic features from existing data
D) The visualization of data distribution

4. Which algorithm is commonly used for decision-making tasks in classification models?

A) Decision Trees
B) Principal Component Analysis (PCA)
C) Linear Regression
D) K-Means

5. Which type of model is commonly used for anomaly detection in datasets?

A) Clustering Models
B) Decision Trees
C) Principal Component Analysis (PCA)
D) Linear Regression

Solutions: