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

1. Which data source allows for real-time data streaming and processing?

A) Cloud storage
B) Static data files
C) Data warehouses
D) IoT devices

2. What is the main advantage of using a RESTful API (Representational State Transfer) as a data source?

A) Support for complex data structures
B) High security features
C) Simple and standardized communication
D) Real-time data processing

3. In the context of model deployment, what is "model compliance"?

A) The process of feature selection
B) The degree to which the model adheres to regulatory or ethical guidelines
C) The model's efficiency
D) The model's simplicity

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

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

5. What is a data lake?

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

Solutions: