Exam Name: SAS® Viya® Supervised Machine Learning Pipelines
Certification Provider: SASInstitute
Corresponding Certification: SAS Certified Specialist
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SASInstitute A00-406 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Data Preparation for Machine Learning | - Feature engineering
|
| Machine Learning Pipelines in SAS Viya | - Model tuning and optimization
|
| Model Evaluation and Deployment | - Model assessment metrics
|
| Supervised Machine Learning Models | - Model selection techniques
|
SASInstitute SAS® Viya® Supervised Machine Learning Pipelines Sample Questions:
In the context of data integration, what does "data transformation" refer to?
- A. Converting and reshaping data to match the target schema
- B. Backing up data for disaster recovery
- C. Extracting data from source systems
- D. Storing data in a centralized repository
Correct Answer: A 🗳️
In model evaluation, what is the purpose of a ROC curve (Receiver Operating Characteristic)?
- A. To evaluate the mean squared error of a model
- B. To compare models' performance in terms of sensitivity and specificity
- C. To visualize data distribution
- D. To measure feature importance
Correct Answer: B 🗳️
Which machine learning technique is typically used for building a model to predict a numeric target variable?
- A. Clustering
- B. Dimensionality reduction
- C. Classification
- D. Regression
Correct Answer: D 🗳️
What is the primary function of a data catalog in managing data sources?
- A. Data analysis
- B. Data storage
- C. Data visualization
- D. Data documentation and discovery
Correct Answer: D 🗳️
What is the purpose of data profiling in data source management?
- A. To execute data queries
- B. To assess the quality and characteristics of data
- C. To optimize data storage
- D. To create data visualizations
Correct Answer: B 🗳️
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