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SASInstitute A00-406 Exam Syllabus Topics:

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

1. What is metadata in the context of data sources?

A) Data that is in a non-standard, proprietary format
B) Data about data, providing information such as data source, structure, and context
C) Data that is stored in a physical format
D) Data that is encrypted for security

2. 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 count.
B) The top bar represents the node with the highest probability of event.
C) The wider bars represent nodes with a higher probability of event.
D) The darker bars represent nodes with a lower probability of event.

3. What is the primary purpose of model assessment in the context of data science and machine learning?

A) Data visualization
B) Model building
C) Data preprocessing
D) Evaluating and selecting the best-performing model

4. Which data source allows for real-time data streaming and processing?

A) Static data files
B) Cloud storage
C) IoT devices
D) Data warehouses

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

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

Solutions: