SAS Institute A00-406 SAS Viya Supervised Machine Learning Pipelines Online Training
SAS Institute A00-406 Online Training
The questions for A00-406 were last updated at Dec 25,2024.
- Exam Code: A00-406
- Exam Name: SAS Viya Supervised Machine Learning Pipelines
- Certification Provider: SAS Institute
- Latest update: Dec 25,2024
What is the primary purpose of model documentation in the model deployment phase?
- A . To create synthetic data
- B . To assess data quality
- C . To provide information on the model’s development, architecture, and usage
- D . To evaluate the model’s accuracy
Which of the following best describes unstructured data?
- A . Data that is organized in rows and columns
- B . Data that is difficult to process and lacks a predefined structure
- C . Data stored in a relational database
- D . Data with a clear schema
What is the main advantage of using a RESTful API (Representational State Transfer) as a data source?
- A . Real-time data processing
- B . Support for complex data structures
- C . Simple and standardized communication
- D . High security features
Which statements are true for the F1 score?
(Choose 2.)
- A . F1 score is calculated based on a depth value.
- B . F1 score is calculated based on a cut off value.
- C . F1 score is applicable to a model with a binary target.
- D . F1 score is applicable to a model with an interval target.
Which type of model is commonly used for anomaly detection in datasets?
- A . Decision Trees
- B . Clustering Models
- C . Linear Regression
- D . Principal Component Analysis (PCA)
What does API stand for in the context of data sources?
- A . Application Programming Interface
- B . Advanced Programming Integration
- C . Automated Program Integration
- D . Application Program Interface
Which data source allows for real-time data streaming and processing?
- A . Data warehouses
- B . Cloud storage
- C . IoT devices
- D . Static data files
What is the main advantage of ensemble methods in model building?
- A . They require minimal data preprocessing
- B . They produce simple and interpretable models
- C . They combine multiple models to improve predictive performance
- D . They work well with high-dimensional data
Which machine learning technique is typically used for building a model to predict a numeric target variable?
- A . Classification
- B . Regression
- C . Clustering
- D . Dimensionality reduction
Refer to the treemap shown in the exhibit below:
Which statement is true about the tree map for a decision tree with a binary target?
- A . The top bar represents the node with the highest probability of event.
- B . The darker bars represent nodes with a lower probability of event.
- C . The top bar represents the node with the highest count.
- D . The wider bars represent nodes with a higher probability of event.
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