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

1. In natural language processing, what does "stemming" involve?

A) Creating new words to improve model performance
B) Converting text to numbers for model input
C) Reducing words to their base or root form
D) Grouping similar words together based on their meanings

2. When building a recommendation system, which type of filtering is based on the user's behavior and preferences?

A) Collaborative filtering
B) Singular Value Decomposition (SVD)
C) Content-based filtering
D) Matrix factorization

3. 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

4. In the context of data integration, what does "data transformation" refer to?

A) Extracting data from source systems
B) Converting and reshaping data to match the target schema
C) Storing data in a centralized repository
D) Backing up data for disaster recovery

5. When building a recommendation system, what does "collaborative filtering" rely on?

A) The past behavior or preferences of users
B) The characteristics of the items being recommended
C) The popularity of items
D) Item-based clustering

Solutions: