PASS GUARANTEED QUIZ 2025 THE BEST SASINSTITUTE A00-406: SAS® VIYA® SUPERVISED MACHINE LEARNING PIPELINES AUTHENTIC EXAM HUB

Pass Guaranteed Quiz 2025 The Best SASInstitute A00-406: SAS® Viya® Supervised Machine Learning Pipelines Authentic Exam Hub

Pass Guaranteed Quiz 2025 The Best SASInstitute A00-406: SAS® Viya® Supervised Machine Learning Pipelines Authentic Exam Hub

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SASInstitute SAS® Viya® Supervised Machine Learning Pipelines Sample Questions (Q42-Q47):

NEW QUESTION # 42
When deploying a model, what is "model explainability"?

  • A. The capability to interpret and understand the model's decisions and predictions
  • B. The simplicity of the model
  • C. The time it takes to make predictions
  • D. The process of data preprocessing

Answer: A


NEW QUESTION # 43
In model evaluation, what is the purpose of a ROC curve (Receiver Operating Characteristic)?

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

Answer: D


NEW QUESTION # 44
In reinforcement learning, what is the "reward signal"?

  • A. A numerical value that indicates the performance of an action taken by the agent
  • B. The final prediction made by the model
  • C. The accuracy of the model's predictions
  • D. A regularization parameter

Answer: A


NEW QUESTION # 45
Which algorithm is commonly used for decision-making tasks in classification models?

  • A. Decision Trees
  • B. K-Means
  • C. Linear Regression
  • D. Principal Component Analysis (PCA)

Answer: A


NEW QUESTION # 46
Which statements are true for the F1 score?
(Choose 2.)

  • A. F1 score is applicable to a model with an interval target.
  • B. F1 score is calculated based on a depth value.
  • C. F1 score is applicable to a model with a binary target.
  • D. F1 score is calculated based on a cut off value.

Answer: C,D


NEW QUESTION # 47
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