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SASInstitute SAS® Viya® Supervised Machine Learning Pipelines : A00-406

A00-406

Exam Code: A00-406

Exam Name: SAS® Viya® Supervised Machine Learning Pipelines

Updated: May 29, 2026

Q & A: 98 Questions and Answers

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

1. What is the significance of the "bias-variance trade-off" in machine learning?

A) It indicates the trade-off between accuracy and precision.
B) It is not relevant in machine learning.
C) It represents the trade-off between underfitting and overfitting.
D) It refers to the trade-off between the number of features and the model's complexity.


2. Which data source typically provides access to real-time financial market data?

A) Weather stations
B) Online news websites
C) Stock market APIs
D) Social media platforms


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


4. What is the purpose of regularization techniques in model building, such as L1 and L2 regularization?

A) To add more features to the model
B) To increase model complexity
C) To prevent overfitting and reduce model complexity
D) To speed up model training


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

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


Solutions:

Question # 1
Answer: C
Question # 2
Answer: C
Question # 3
Answer: B
Question # 4
Answer: C
Question # 5
Answer: B

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