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

1. Which of the following best describes unstructured data?

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

2. In the context of data sources, what is meant by data versioning?

A) Compressing data to reduce storage space
B) Keeping track of different versions or changes to data over time
C) Storing multiple copies of the same data to increase redundancy
D) Encrypting data to protect against unauthorized access

3. Given the following properties for a neural network model, which statement is true regrading hidden units in the model? The following SAS program is submitted:

A) The number of hidden units is 1.
B) The number of hidden units is 50.
C) The number of hidden units is 26.
D) There are no hidden units in the model.

4. What is feature engineering in the context of machine learning pipelines?

A) Applying the model to new data
B) Creating new features from existing data
C) Building a machine learning model from scratch
D) Testing the model's performance

5. In the context of model assessment, what does "bias" refer to?

A) A systematic error that causes a model to consistently overpredict
B) The simplicity of the model
C) The process of feature engineering
D) A measure of the model's precision

Solutions: