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SASInstitute A00-406 Exam Syllabus Topics:

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

Question 1

Which of the following is a common source for external data in the context of business analytics?

A. Employee records
B. Company financial reports
C. Intranet databases
D. CRM data

Question 2

What does the term "bagging" refer to in ensemble learning?

A. A technique that reduces model complexity
B. A form of dimensionality reduction
C. A type of feature extraction
D. The process of combining multiple identical models to reduce variance

Question 3

What is metadata in the context of data sources?

A. Data that is encrypted for security
B. Data that is stored in a physical format
C. Data that is in a non-standard, proprietary format
D. Data about data, providing information such as data source, structure, and context

Question 4

What is the main goal of data preprocessing in a machine learning pipeline?

A. To remove irrelevant features
B. To prepare the data for analysis and modeling
C. To visualize the data
D. To train the model

Question 5

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

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

Solutions: