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

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

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

2. Which feature extraction method can take both interval variables and class variables as inputs?

A) Singular value decomposition
B) Principal component analysis
C) Robust PCA
D) Autoencoder

3. What is the difference between a classification problem and a regression problem in machine learning?

A) Classification predicts categorical outcomes, while regression predicts numeric outcomes.
B) There is no difference; the terms are used interchangeably.
C) Regression predicts categorical outcomes, while classification predicts numeric outcomes.
D) Classification is a type of regression problem.

4. What is a data lake architecture designed to store primarily?

A) Only unstructured data in raw form
B) Data from a single source or department
C) All types of data, including structured and unstructured data
D) Highly structured data in tabular format

5. 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

Solutions: