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

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SASInstitute A00-406 Exam Syllabus Topics:

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

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

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

2. Which of the following metrics is commonly used to evaluate the performance of a binary classification model in a machine learning pipeline?

A) Root Mean Squared Error (RMSE)
B) Accuracy
C) Mean Absolute Error (MAE)
D) R-squared

3. What is a data lake architecture designed to store primarily?

A) Highly structured data in tabular format
B) Data from a single source or department
C) All types of data, including structured and unstructured data
D) Only unstructured data in raw form

4. What is a common example of an external data source for an organization?

A) Customer surveys
B) Employee databases
C) Intranet portals
D) Internal emails

5. What is the purpose of data profiling in data source management?

A) To assess the quality and characteristics of data
B) To execute data queries
C) To create data visualizations
D) To optimize data storage

Solutions: