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

1. When deploying a machine learning model, what is meant by "model latency"?

A) The time it takes for the model to make predictions once deployed
B) The time it takes to train a model
C) The time it takes to create synthetic data
D) The time it takes to build a model

2. What does the term "bias" in machine learning refer to?

A) Systematic errors that cause a model to consistently underpredict or overpredict
B) The simplicity of a model
C) The overall accuracy of a model
D) A model's inability to generalize to new data

3. What does API stand for in the context of data sources?

A) Automated Program Integration
B) Application Program Interface
C) Advanced Programming Integration
D) Application Programming Interface

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

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

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

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

Solutions: