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SASInstitute SAS® Viya® Supervised Machine Learning Pipelines Sample Questions (Q73-Q78):

NEW QUESTION # 73
Which hyperparameter in a decision tree model controls the depth of the tree and helps prevent overfitting?

• A. Max features
• B. Learning rate
• C. Min samples split
• D. Max depth

Answer: D

 

NEW QUESTION # 74
In model assessment, what does "cross-validation" aim to address?

• A. Overfitting and generalization
• B. Model deployment
• C. Data preprocessing
• D. Training a model

Answer: A

 

NEW QUESTION # 75
What is overfitting in machine learning, and how can it be addressed in a pipeline?

• A. Overfitting occurs when the model is too complex and overperforms.
• B. Overfitting occurs when the model fits the training data too closely and may not generalize well. It can be addressed by regularization techniques.
• C. Overfitting occurs when the model is too simple and underperforms.
• D. Overfitting is not a concern in machine learning pipelines.

Answer: B

 

NEW QUESTION # 76
Which data source typically provides access to real-time financial market data?

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

Answer: A

 

NEW QUESTION # 77
What is "model deployment" in the context of data science and machine learning?

• A. The process of building a model
• B. Making the model available for use in real-world applications
• C. The process of selecting features
• D. The process of data cleaning

Answer: B

 

NEW QUESTION # 78
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