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SASInstitute SAS® Viya® Supervised Machine Learning Pipelines Sample Questions (Q92-Q97):

NEW QUESTION # 92
What is the difference between a classification problem and a regression problem in machine learning?

A. Regression predicts categorical outcomes, while classification predicts numeric outcomes.
B. Classification is a type of regression problem.
C. Classification predicts categorical outcomes, while regression predicts numeric outcomes.
D. There is no difference; the terms are used interchangeably.

Answer: C

NEW QUESTION # 93
Which of the following is a common technique for handling missing data in a machine learning pipeline?

A. Replacing missing values with zeros
B. Imputing missing values
C. Ignoring missing data
D. Deleting rows with missing data

Answer: B

NEW QUESTION # 94
In natural language processing (NLP), what is a common preprocessing step for text data before building models?

A. Tokenization
B. Principal Component Analysis (PCA)
C. One-Hot Encoding
D. Standardization

Answer: A

NEW QUESTION # 95
What is the main advantage of ensemble learning methods, such as Random Forest, in a machine learning pipeline?

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

Answer: C

NEW QUESTION # 96
Refer to the exhibit below:

Based on the output from the Data Exploration node shown in the exhibit, which variable has the most thin tails (most platykurtic distribution)?

A. Logi_rfm4
B. Logi_rfm8
C. Logi_rfm6
D. Logi_rfm12

Answer: D

NEW QUESTION # 97
......

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