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SASInstitute A00-406 Exam Syllabus Topics:

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

1. Which SAS Viya component is typically used for deploying and monitoring machine learning models in production?

A) SAS Enterprise Miner
B) SAS Data Loader
C) SAS Visual Analytics
D) SAS Model Manager

2. What is the primary objective of model validation during the model assessment phase?

A) To assess the accuracy of the model
B) To ensure the model generalizes well to new, unseen data
C) To build a model from scratch
D) To create synthetic data

3. In reinforcement learning, what is the agent's objective?

A) To maximize a cumulative reward over time
B) To learn from labeled data
C) To generate synthetic data
D) To make predictions

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

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

5. In a machine learning pipeline, what is the purpose of cross-validation?

A) To evaluate the model's performance on new data
B) To visualize the data distribution
C) To split the dataset into training and testing sets
D) To train multiple models on different subsets of the data to assess generalization

Solutions: