SASInstitute A00-406

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SASInstitute A00-406 Exam Syllabus Topics:

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

1. What is the main advantage of using a RESTful API (Representational State Transfer) as a data source?

A) Support for complex data structures
B) Simple and standardized communication
C) High security features
D) Real-time data processing

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

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

3. In reinforcement learning, what is the "reward signal"?

A) A numerical value that indicates the performance of an action taken by the agent
B) The accuracy of the model's predictions
C) The final prediction made by the model
D) A regularization parameter

4. What is the primary difference between supervised and unsupervised learning in model building?

A) The presence or absence of a target variable
B) The use of feature engineering
C) The type of data used
D) The amount of labeled data required

5. What is the purpose of cross-entropy loss in machine learning, especially in the context of classification?

A) To quantify the variance of a model
B) To evaluate feature importance
C) To calculate the mean squared error of a regression model
D) To measure the dissimilarity between predicted and actual class probabilities

Solutions: