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SASInstitute A00-406 Exam Syllabus Topics:

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

1. Which type of model is well-suited for solving classification problems when dealing with high- dimensional data, such as text?

A) Linear Regression
B) Support Vector Machine (SVM)
C) Random Forest
D) K-Means Clustering

2. In the context of model building, what is the purpose of hyperparameter tuning?

A) Optimizing the model's hyperparameters for better performance
B) Selecting the most important features
C) Visualizing data
D) Training the model

3. Which statements are true for the F1 score?
(Choose 2.)

A) F1 score is applicable to a model with a binary target.
B) F1 score is calculated based on a depth value.
C) F1 score is applicable to a model with an interval target.
D) F1 score is calculated based on a cut off value.

4. When assessing a classification model, what is the confusion matrix used to measure?

A) Model accuracy
B) Data distribution
C) Precision and recall
D) Model complexity

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

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

Solutions: