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SASInstitute A00-406 Exam Syllabus Topics:

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

1. What does "data lineage" refer to in the context of data source management?

A) The structure of a relational database
B) The history of data transformation processes
C) The physical location of data storage
D) The security protocols for data access

2. What is the main goal of data preprocessing in a machine learning pipeline?

A) To remove irrelevant features
B) To visualize the data
C) To prepare the data for analysis and modeling
D) To train the model

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

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

4. What is a common example of an external data source for an organization?

A) Internal emails
B) Customer surveys
C) Intranet portals
D) Employee databases

5. Which of the following is a common technique for handling missing data in a machine learning pipeline?

A) Imputing missing values
B) Replacing missing values with zeros
C) Ignoring missing data
D) Deleting rows with missing data

Solutions: