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Free PDF SASInstitute - A00-406 - Updated Reliable SAS® Viya® Supervised Machine Learning Pipelines Dumps

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SASInstitute SAS® Viya® Supervised Machine Learning Pipelines Sample Questions (Q82-Q87):

NEW QUESTION # 82
In model evaluation, what is the purpose of a ROC curve (Receiver Operating Characteristic)?

A. To visualize data distribution
B. To compare models' performance in terms of sensitivity and specificity
C. To evaluate the mean squared error of a model
D. To measure feature importance

Answer: B

NEW QUESTION # 83
What is the purpose of a confusion matrix in the context of classification models?

A. To visualize the data
B. To summarize the distribution of target variables
C. To evaluate model performance, especially for binary classification
D. To compute the mean squared error

Answer: C

NEW QUESTION # 84
Which SAS Viya component is typically used for deploying and monitoring machine learning models in production?

A. SAS Enterprise Miner
B. SAS Data Loader
C. SAS Visual Analytics
D. SAS Model Manager

Answer: D

NEW QUESTION # 85
Which machine learning technique is typically used for building a model to predict a numeric target variable?

A. Clustering
B. Dimensionality reduction
C. Classification
D. Regression

Answer: D

NEW QUESTION # 86
What is the primary purpose of "continuous integration and continuous deployment" (CI/CD) in the context of model deployment?

A. To create synthetic data
B. To evaluate the model's accuracy
C. To visualize data distribution
D. To automate the testing, integration, and deployment of new model versions

Answer: D

NEW QUESTION # 87
......

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Jon Lee Jon Lee

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