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SASInstitute A00-406 Exam Syllabus Topics:

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

Question 1

What is the difference between a classification problem and a regression problem in machine learning?

A. There is no difference; the terms are used interchangeably.
B. Classification is a type of regression problem.
C. Regression predicts categorical outcomes, while classification predicts numeric outcomes.
D. Classification predicts categorical outcomes, while regression predicts numeric outcomes.

Question 2

What is the primary goal of hyperparameter tuning during model building?

A. To improve data preprocessing techniques
B. To optimize the settings that control the model's learning process
C. To add more features to the model
D. To increase model complexity

Question 3

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

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

Question 4

In reinforcement learning, what is the agent's objective?

A. To generate synthetic data
B. To learn from labeled data
C. To maximize a cumulative reward over time
D. To make predictions

Question 5

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

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

Solutions: