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SASInstitute A00-406 Exam Syllabus Topics:

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

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

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

2. What is the primary function of a data catalog in managing data sources?

A) Data storage
B) Data documentation and discovery
C) Data analysis
D) Data visualization

3. In model assessment, what is the purpose of feature importance analysis?

A) To evaluate the significance of input features in making predictions
B) To assess data quality
C) To create synthetic features
D) To visualize data distribution

4. When building a deep learning neural network, what is the purpose of the activation function in each neuron?

A) To control the number of hidden layers
B) To introduce non-linearity
C) To define the learning rate
D) To initialize the model

5. What is feature engineering in the context of machine learning pipelines?

A) Creating new features from existing data
B) Applying the model to new data
C) Building a machine learning model from scratch
D) Testing the model's performance

Solutions: