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SASInstitute A00-406 Exam Syllabus Topics:

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

Question 1

Given the following properties for a neural network model, which statement is true regrading hidden units in the model? The following SAS program is submitted:

A. The number of hidden units is 26.
B. The number of hidden units is 1.
C. There are no hidden units in the model.
D. The number of hidden units is 50.

Question 2

Which technique is used for feature selection in a machine learning pipeline when dealing with a large number of features?

A. Regularization
B. Naive Bayes
C. One-Hot Encoding
D. Principal Component Analysis (PCA)

Question 3

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

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

Question 4

What is metadata in the context of data sources?

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

Question 5

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

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

Solutions: