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

1. What is the significance of the "bias-variance trade-off" in machine learning?

A) It indicates the trade-off between accuracy and precision.
B) It represents the trade-off between underfitting and overfitting.
C) It refers to the trade-off between the number of features and the model's complexity.
D) It is not relevant in machine learning.

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

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

3. Which type of model is well-suited for solving classification problems when dealing with high- dimensional data, such as text?

A) Support Vector Machine (SVM)
B) Linear Regression
C) Random Forest
D) K-Means Clustering

4. What does the term "bias" in machine learning refer to?

A) The simplicity of a model
B) Systematic errors that cause a model to consistently underpredict or overpredict
C) The overall accuracy of a model
D) A model's inability to generalize to new data

5. Which of the following is an example of a NoSQL database that is commonly used to store unstructured data?

A) Microsoft SQL Server
B) MySQL
C) MongoDB
D) Oracle Database

Solutions: