SASInstitute A00-406 : SAS® Viya® Supervised Machine Learning Pipelines

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SASInstitute A00-406 Exam Syllabus Topics:

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

Question #1
What is the purpose of a confusion matrix in the context of classification models?

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

Question #2
When building a recommendation system, what does "collaborative filtering" rely on?

A. The past behavior or preferences of users
B. Item-based clustering
C. The popularity of items
D. The characteristics of the items being recommended

Question #3
When deploying a model, what is "model explainability"?

A. The time it takes to make predictions
B. The process of data preprocessing
C. The simplicity of the model
D. The capability to interpret and understand the model's decisions and predictions

Question #4
Which of the following is NOT a common data format for exchanging data between systems?

A. SQL (Structured Query Language)
B. JSON (JavaScript Object Notation)
C. CSV (Comma-Separated Values)
D. HTML (Hypertext Markup Language)

Question #5
In the context of model building, what is the purpose of hyperparameter tuning?

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

Solutions: