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SASInstitute SAS® Viya® Supervised Machine Learning Pipelines Sample Questions:
1. Which algorithm is commonly used for decision-making tasks in classification models?
A) Principal Component Analysis (PCA)
B) K-Means
C) Decision Trees
D) Linear Regression
2. What is "model reevaluation" in the model deployment phase?
A) The evaluation of data distribution
B) The periodic assessment of a deployed model's performance and potential retraining
C) The process of selecting features
D) The process of data preprocessing
3. What is "model retraining" in the context of model deployment?
A) The process of feature selection
B) The process of building the initial model
C) Periodically updating and improving a deployed model with new data
D) The process of data preprocessing
4. Which of the following is an example of a NoSQL database that is commonly used to store unstructured data?
A) MySQL
B) Oracle Database
C) Microsoft SQL Server
D) MongoDB
5. Which statement is true regarding decision trees and models based on ensembles of trees?
A) A single decision tree will always be outperformed by a model based on an ensemble of trees.
B) For a Forest model, the out-of-bag sample is simply the original validation data set from when the raw data partitioning took place.
C) In the gradient boosting algorithm, for all but the first iteration, the target is the residual from the previous decision tree model.
D) In the Forest algorithm, each individual tree is pruned based on using minimum Average Squared Error.
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: B | Question # 3 Answer: C | Question # 4 Answer: D | Question # 5 Answer: C |



