Online Access Free A00-406 Exam Questions

In the context of data sources, what is meant by data versioning?

• A.Storing multiple copies of the same data to increase redundancy
• B.Keeping track of different versions or changes to data over time
• C.Compressing data to reduce storage space
• D.Encrypting data to protect against unauthorized access

In the context of data sources, what is ETL?

• A.Extract, Transform, Load
• B.Execute, Terminate, Launch
• C.Efficient Text Link
• D.Examine, Test, Log

What is the primary purpose of a supervised machine learning pipeline in SAS Viya?

• A.Model training and evaluation
• B.Data preprocessing and cleaning
• C.Data storage and retrieval
• D.Data visualization

What is overfitting in machine learning, and how can it be addressed in a pipeline?

• A.Overfitting occurs when the model is too simple and underperforms.
• B.Overfitting occurs when the model fits the training data too closely and may not generalize well. It can be addressed by regularization techniques.
• C.Overfitting occurs when the model is too complex and overperforms.
• D.Overfitting is not a concern in machine learning pipelines.

Which of the following best describes unstructured data?

• A.Data that is organized in rows and columns
• B.Data stored in a relational database
• C.Data that is difficult to process and lacks a predefined structure
• D.Data with a clear schema