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SASInstitute SAS® Viya® Supervised Machine Learning Pipelines Sample Questions (Q31-Q36):
NEW QUESTION # 31
Which type of data source typically stores structured data in a tabular format?
- A. Relational databases
- B. NoSQL databases
- C. APIs
- D. Text documents
Answer: A
NEW QUESTION # 32
What is the purpose of a confusion matrix in the context of classification models?
- A. To summarize the distribution of target variables
- B. To evaluate model performance, especially for binary classification
- C. To visualize the data
- D. To compute the mean squared error
Answer: B
NEW QUESTION # 33
What is the primary objective of model evaluation in the context of building predictive models?
- A. Cleaning the data
- B. Discovering patterns in data
- C. Visualizing data
- D. Assessing the model's performance and accuracy
Answer: D
NEW QUESTION # 34
What is the primary purpose of model deployment in the context of data science and machine learning?
- A. Data preprocessing
- B. Making the model available for use in real-world applications
- C. Model building
- D. Model evaluation
Answer: B
NEW QUESTION # 35
Which of the following is a common technique for handling missing data in a machine learning pipeline?
- A. Imputing missing values
- B. Replacing missing values with zeros
- C. Deleting rows with missing data
- D. Ignoring missing data
Answer: A
NEW QUESTION # 36
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