SASInstitute A00-406 : SAS® Viya® Supervised Machine Learning Pipelines

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SASInstitute A00-406 Exam Syllabus Topics:

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

Question 1

Which of the following best describes unstructured data?

A. Data that is organized in rows and columns
B. Data stored in a relational database
C. Data that is difficult to process and lacks a predefined structure
D. Data with a clear schema

Question 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

Question 3

In a supervised machine learning pipeline, what is the purpose of the test data set?

A. To preprocess the data
B. To validate the model's performance
C. To train the machine learning model
D. To evaluate the model's predictions

Question 4

In machine learning, what does "overfitting" refer to?

A. A model that performs well on new, unseen data
B. A model that is undertrained and has high bias
C. A model that is unable to make predictions
D. A model that has too much complexity and fits the training data too closely

Question 5

Which of the following is an example of a NoSQL database that is commonly used to store unstructured data?

A. MongoDB
B. Oracle Database
C. MySQL
D. Microsoft SQL Server

Solutions: