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

1. Which technique is used for feature selection in a machine learning pipeline when dealing with a large number of features?

A) Regularization
B) One-Hot Encoding
C) Principal Component Analysis (PCA)
D) Naive Bayes

2. What is the primary goal of building models in data science and machine learning?

A) Data cleaning
B) Making predictions or inferences from data
C) Data visualization
D) Feature engineering

3. Which type of model is commonly used for anomaly detection in datasets?

A) Clustering Models
B) Principal Component Analysis (PCA)
C) Decision Trees
D) Linear Regression

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

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

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

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

Solutions: