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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) Standardization
B) One-Hot Encoding
C) Decision Trees
D) Principal Component Analysis (PCA)
2. Which type of data source typically stores structured data in a tabular format?
A) Relational databases
B) NoSQL databases
C) Text documents
D) APIs
3. What is the purpose of a "canary release" in the context of model deployment?
A) To create synthetic data
B) To evaluate model accuracy
C) To assess data quality
D) To deploy a new model version to a small subset of users or systems for testing
4. Which metric is commonly used to evaluate the performance of a regression model?
A) Mean Absolute Error (MAE)
B) Precision
C) F1 Score
D) Confusion Matrix
5. What is the purpose of a confusion matrix in the context of classification models?
A) To summarize the distribution of target variables
B) To evaluate model performance, especially for binary classification
C) To compute the mean squared error
D) To visualize the data
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A | Question # 3 Answer: D | Question # 4 Answer: A | Question # 5 Answer: B |

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