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SASInstitute A00-406 Exam Syllabus Topics:

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

Question 1

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

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

Question 2

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

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

Question 3

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

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

Question 4

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

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

Question 5

What is a data lake?

A. A centralized repository for storing all structured and unstructured data at any scale
B. A backup system for relational databases
C. A specialized database for time-series data
D. A data storage solution designed for high-speed data retrieval

Solutions: