SASInstitute SAS® Viya® Supervised Machine Learning Pipelines : A00-406 exam

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SASInstitute A00-406 Exam Syllabus Topics:

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

1. Which type of model is typically used for time-series forecasting?

A) Logistic Regression
B) Decision Trees
C) AutoRegressive Integrated Moving Average (ARIMA)
D) K-Means Clustering

2. Which type of model is commonly used for anomaly detection in datasets?

A) Principal Component Analysis (PCA)
B) Decision Trees
C) Linear Regression
D) Clustering Models

3. What does the term "bias" in machine learning refer to?

A) The simplicity of a model
B) Systematic errors that cause a model to consistently underpredict or overpredict
C) The overall accuracy of a model
D) A model's inability to generalize to new data

4. What is the main advantage of ensemble learning methods, such as Random Forest, in a machine learning pipeline?

A) They are simple and easy to interpret.
B) They require minimal data preprocessing.
C) They are not suitable for large datasets.
D) They combine multiple models to improve predictive performance.

5. Which of the following is a common source for external data in the context of business analytics?

A) Intranet databases
B) Company financial reports
C) Employee records
D) CRM data

Solutions: