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SASInstitute SAS® Viya® Supervised Machine Learning Pipelines Sample Questions:
1. Which machine learning technique is typically used for building a model to predict a numeric target variable?
A) Dimensionality reduction
B) Regression
C) Classification
D) Clustering
2. Which technique is commonly used for feature scaling or normalization in machine learning pipelines?
A) Decision Trees
B) Principal Component Analysis (PCA)
C) One-Hot Encoding
D) Standardization
3. Which of the following best describes unstructured data?
A) Data that is organized in rows and columns
B) Data with a clear schema
C) Data that is difficult to process and lacks a predefined structure
D) Data stored in a relational database
4. What is the purpose of a "canary release" in the context of model deployment?
A) To evaluate model accuracy
B) To assess data quality
C) To deploy a new model version to a small subset of users or systems for testing
D) To create synthetic data
5. What does the term "bias" in machine learning refer to?
A) The overall accuracy of a model
B) Systematic errors that cause a model to consistently underpredict or overpredict
C) A model's inability to generalize to new data
D) The simplicity of a model
Solutions:
Question # 1 Answer: B | Question # 2 Answer: D | Question # 3 Answer: C | Question # 4 Answer: C | Question # 5 Answer: B |