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SASInstitute A00-406 Exam Syllabus Topics:

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

1. What is the primary purpose of a supervised machine learning pipeline in SAS Viya?

A) Data preprocessing and cleaning
B) Data visualization
C) Data storage and retrieval
D) Model training and evaluation

2. What is the purpose of cross-validation in model building and evaluation?

A) Splitting the dataset into training and testing sets
B) Assessing the model's generalization performance
C) Reducing the dataset size
D) Generating synthetic data

3. What is a data lake?

A) A specialized database for time-series data
B) A data storage solution designed for high-speed data retrieval
C) A centralized repository for storing all structured and unstructured data at any scale
D) A backup system for relational databases

4. What is the primary goal of building models in data science and machine learning?

A) Feature engineering
B) Data visualization
C) Data cleaning
D) Making predictions or inferences from data

5. 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 create synthetic data
D) To build a model from scratch

Solutions: