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

1. What is "model reevaluation" in the model deployment phase?

A) The evaluation of data distribution
B) The periodic assessment of a deployed model's performance and potential retraining
C) The process of selecting features
D) The process of data preprocessing

2. Refer to the exhibit below:

Based on the output from the Data Exploration node shown in the exhibit, which variable has the most thin tails (most platykurtic distribution)?

A) Logi_rfm8
B) Logi_rfm4
C) Logi_rfm6
D) Logi_rfm12

3. When deploying a machine learning model, what is meant by "model latency"?

A) The time it takes to train a model
B) The time it takes for the model to make predictions once deployed
C) The time it takes to create synthetic data
D) The time it takes to build a model

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

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

5. Which evaluation metric is commonly used for assessing the performance of a binary classification model?

A) Accuracy
B) Mean Absolute Error (MAE)
C) Root Mean Squared Error (RMSE)
D) R-squared

Solutions: