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SASInstitute A00-406 Exam Syllabus Topics:

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

1. What is the purpose of data profiling in data source management?

A) To assess the quality and characteristics of data
B) To optimize data storage
C) To execute data queries
D) To create data visualizations

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

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

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

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

4. In natural language processing (NLP), what is a common preprocessing step for text data before building models?

A) Principal Component Analysis (PCA)
B) Tokenization
C) One-Hot Encoding
D) Standardization

5. What is the primary difference between supervised and unsupervised learning in model building?

A) The use of feature engineering
B) The amount of labeled data required
C) The presence or absence of a target variable
D) The type of data used

Solutions: