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SASInstitute SAS® Viya® Supervised Machine Learning Pipelines Sample Questions (Q81-Q86):

NEW QUESTION # 81
What is the primary purpose of model deployment in the context of data science and machine learning?

A. Making the model available for use in real-world applications
B. Model building
C. Model evaluation
D. Data preprocessing

Answer: A

NEW QUESTION # 82
In the context of data sources, what is ETL?

A. Efficient Text Link
B. Execute, Terminate, Launch
C. Examine, Test, Log
D. Extract, Transform, Load

Answer: D

NEW QUESTION # 83
What is the primary purpose of model documentation in the model deployment phase?

A. To evaluate the model's accuracy
B. To assess data quality
C. To create synthetic data
D. To provide information on the model's development, architecture, and usage

Answer: D

NEW QUESTION # 84
What does "data lineage" refer to in the context of data source management?

A. The structure of a relational database
B. The physical location of data storage
C. The history of data transformation processes
D. The security protocols for data access

Answer: C

NEW QUESTION # 85
What is the purpose of cross-entropy loss in machine learning, especially in the context of classification?

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

Answer: B

NEW QUESTION # 86
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