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

1. What is metadata in the context of data sources?

A) Data that is stored in a physical format
B) Data that is encrypted for security
C) Data about data, providing information such as data source, structure, and context
D) Data that is in a non-standard, proprietary format

2. Which type of data source typically stores structured data in a tabular format?

A) APIs
B) Relational databases
C) Text documents
D) NoSQL databases

3. What is the purpose of a "canary release" in the context of model deployment?

A) To assess data quality
B) To deploy a new model version to a small subset of users or systems for testing
C) To evaluate model accuracy
D) To create synthetic data

4. What is "model reevaluation" in the model deployment phase?

A) The evaluation of data distribution
B) The periodic assessment of a deployed model's performance and potential retraining
C) The process of data preprocessing
D) The process of selecting features

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

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

Solutions: