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SASInstitute A00-406 Exam Syllabus Topics:

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

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

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

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 wider bars represent nodes with a higher 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 top bar represents the node with the highest probability of event.

3. When building a deep learning neural network, what is the purpose of the activation function in each neuron?

A) To initialize the model
B) To define the learning rate
C) To control the number of hidden layers
D) To introduce non-linearity

4. 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

5. Which of the following is a common source for external data in the context of business analytics?

A) Intranet databases
B) Employee records
C) Company financial reports
D) CRM data

Solutions: