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

1. 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) Item-based clustering
D) The popularity of items

2. What is the primary role of a data warehouse in an organization?

A) Real-time data analysis
B) Data exploration and visualization
C) Long-term data storage and analysis
D) Data transformation and cleaning

3. What is the primary difference between supervised and unsupervised learning in model building?

A) The use of feature engineering
B) The amount of labeled data required
C) The presence or absence of a target variable
D) The type of data used

4. Which data source allows for real-time data streaming and processing?

A) IoT devices
B) Data warehouses
C) Cloud storage
D) Static data files

5. Which of the following is a common technique for handling missing data in a machine learning pipeline?

A) Replacing missing values with zeros
B) Ignoring missing data
C) Imputing missing values
D) Deleting rows with missing data

Solutions: