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SASInstitute SAS® Viya® Supervised Machine Learning Pipelines Sample Questions (Q72-Q77):

NEW QUESTION # 72
Which type of model is well-suited for solving classification problems when dealing with high- dimensional data, such as text?

A. Random Forest
B. Linear Regression
C. Support Vector Machine (SVM)
D. K-Means Clustering

Answer: C

NEW QUESTION # 73
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. There are no hidden units in the model.
B. The number of hidden units is 50.
C. The number of hidden units is 26.
D. The number of hidden units is 1.

Answer: C

NEW QUESTION # 74
What is the main advantage of ensemble learning methods, such as Random Forest, in a machine learning pipeline?

A. They require minimal data preprocessing.
B. They are simple and easy to interpret.
C. They are not suitable for large datasets.
D. They combine multiple models to improve predictive performance.

Answer: D

NEW QUESTION # 75
What is a data lake?

A. A centralized repository for storing all structured and unstructured data at any scale
B. A backup system for relational databases
C. A specialized database for time-series data
D. A data storage solution designed for high-speed data retrieval

Answer: A

NEW QUESTION # 76
In reinforcement learning, what is the "reward signal"?

A. The final prediction made by the model
B. A regularization parameter
C. A numerical value that indicates the performance of an action taken by the agent
D. The accuracy of the model's predictions

Answer: C

NEW QUESTION # 77
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