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SASInstitute A00-406 Exam Syllabus Topics:

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

1. Which type of data source typically stores structured data in a tabular format?

A) NoSQL databases
B) Relational databases
C) Text documents
D) APIs

2. In a machine learning pipeline, what is the purpose of cross-validation?

A) To visualize the data distribution
B) To evaluate the model's performance on new data
C) To train multiple models on different subsets of the data to assess generalization
D) To split the dataset into training and testing sets

3. What is "model retraining" in the context of model deployment?

A) The process of data preprocessing
B) The process of feature selection
C) Periodically updating and improving a deployed model with new data
D) The process of building the initial model

4. What is the main advantage of ensemble learning methods, such as Random Forest, in a machine learning pipeline?

A) They require minimal data preprocessing.
B) They are simple and easy to interpret.
C) They are not suitable for large datasets.
D) They combine multiple models to improve predictive performance.

5. What is the purpose of a confusion matrix in the context of classification models?

A) To compute the mean squared error
B) To visualize the data
C) To evaluate model performance, especially for binary classification
D) To summarize the distribution of target variables

Solutions: