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SASInstitute A00-406 Exam Syllabus Topics:

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

1. What is the primary goal of hyperparameter tuning during model building?

A) To increase model complexity
B) To add more features to the model
C) To optimize the settings that control the model's learning process
D) To improve data preprocessing techniques

2. What is the primary function of a data catalog in managing data sources?

A) Data visualization
B) Data documentation and discovery
C) Data storage
D) Data analysis

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

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

4. Which of the following is a common technique for handling missing data in a machine learning pipeline?

A) Replacing missing values with zeros
B) Ignoring missing data
C) Deleting rows with missing data
D) Imputing missing values

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

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

Solutions: