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SASInstitute A00-406 Exam Syllabus Topics:

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

1. Refer to the treemap shown in the exhibit below:

Which statement is true about the tree map for a decision tree with a binary target?

A) The darker bars represent nodes with a lower probability of event.
B) The top bar represents the node with the highest count.
C) The top bar represents the node with the highest probability of event.
D) The wider bars represent nodes with a higher probability of event.

2. What is the primary goal of building models in data science and machine learning?

A) Data cleaning
B) Making predictions or inferences from data
C) Feature engineering
D) Data visualization

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

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

4. When deploying a machine learning model, what is "model drift"?

A) A change in the distribution of the input data or target variable over time
B) A sudden increase in the model's accuracy
C) The process of feature extraction
D) A measure of feature importance

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

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

Solutions: