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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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