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SASInstitute A00-406 Exam Syllabus Topics:

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

1. What is the purpose of data profiling in data source management?

A) To optimize data storage
B) To create data visualizations
C) To execute data queries
D) To assess the quality and characteristics of data

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

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

3. 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

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

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

5. What is "model deployment" in the context of data science and machine learning?

A) The process of selecting features
B) Making the model available for use in real-world applications
C) The process of building a model
D) The process of data cleaning

Solutions: