SASInstitute A00-406 Exam Questions : 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:

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

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

2. In the context of data integration, what does "data transformation" refer to?

A) Storing data in a centralized repository
B) Extracting data from source systems
C) Backing up data for disaster recovery
D) Converting and reshaping data to match the target schema

3. What is the purpose of hyperparameter tuning in a machine learning pipeline?

A) To select the most important features
B) To train the model
C) To evaluate the model's predictions
D) To optimize the model's hyperparameters for better performance

4. What is the main advantage of ensemble learning methods, such as Random Forest, in a machine learning pipeline?

A) They require minimal data preprocessing.
B) They are simple and easy to interpret.
C) They combine multiple models to improve predictive performance.
D) They are not suitable for large datasets.

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

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

Solutions: