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

1. Which of the following best describes unstructured data?

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

2. What is the primary objective of model evaluation in the context of building predictive models?

A) Discovering patterns in data
B) Visualizing data
C) Cleaning the data
D) Assessing the model's performance and accuracy

3. Which technique is commonly used for feature scaling or normalization in machine learning pipelines?

A) Standardization
B) Decision Trees
C) Principal Component Analysis (PCA)
D) One-Hot Encoding

4. Which of the following is a common source for external data in the context of business analytics?

A) Company financial reports
B) Employee records
C) Intranet databases
D) CRM data

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

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

Solutions: