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SASInstitute A00-406 Exam Syllabus Topics:

SectionWeightObjectives
Model Assessment and Deployment24-30%- Select champion models
- Evaluate and compare model performance
- Apply model assessment principles
- Deploy models into production
Data Sources30-36%- Modify and prepare data
- Explore and understand data
- Perform variable selection
- Reduce dimensionality
- Create a project in Model Studio
Building Models40-46%- Build decision trees and ensemble models
- Use model interpretability tools
- Integrate custom code
- Understand supervised machine learning concepts
- Build neural networks and SVM models
- Build regression models

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

What is the primary objective of model evaluation in the context of building predictive models?

  • A. Cleaning the data
  • B. Visualizing data
  • C. Assessing the model's performance and accuracy
  • D. Discovering patterns in data
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

A project has been created and a pipeline has been run in Model Studio.
Which project setting can you edit?

  • A. Partition Data percentages
  • B. Rules for model comparison statistic
  • C. Event-based Sampling proportions
  • D. Advisor Options for missing values
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

What is the primary goal of A/B testing in the context of model deployment?

  • A. To assess data quality
  • B. To create synthetic data
  • C. To evaluate the model's accuracy
  • D. To compare two different versions of a model or strategy to determine which performs better
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

What is the purpose of a confusion matrix in the context of classification models?

  • A. To visualize the data
  • B. To summarize the distribution of target variables
  • C. To evaluate model performance, especially for binary classification
  • D. To compute the mean squared error
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

What is "model reevaluation" in the model deployment phase?

  • A. The process of selecting features
  • B. The evaluation of data distribution
  • C. The process of data preprocessing
  • D. The periodic assessment of a deployed model's performance and potential retraining
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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