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SASInstitute A00-406 Exam Syllabus Topics:

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

1. What is the primary role of a loss function in model training?

A) To assess the accuracy of the model
B) To measure the difference between predicted and actual values
C) To maximize the model's performance
D) To visualize the data

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

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

3. Which machine learning technique is typically used for building a model to predict a numeric target variable?

A) Regression
B) Dimensionality reduction
C) Classification
D) Clustering

4. In the context of model assessment, what does "bias" refer to?

A) A measure of the model's precision
B) The process of feature engineering
C) The simplicity of the model
D) A systematic error that causes a model to consistently overpredict

5. What is the primary role of a data warehouse in an organization?

A) Data transformation and cleaning
B) Long-term data storage and analysis
C) Real-time data analysis
D) Data exploration and visualization

Solutions: