SASINSTITUTE A00-406 VALID GUIDE FILES | A00-406 CERT EXAM

SASInstitute A00-406 Valid Guide Files | A00-406 Cert Exam

SASInstitute A00-406 Valid Guide Files | A00-406 Cert Exam

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Tags: A00-406 Valid Guide Files, A00-406 Cert Exam, Pdf A00-406 Pass Leader, A00-406 New Exam Bootcamp, Vce A00-406 Test Simulator

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SASInstitute SAS® Viya® Supervised Machine Learning Pipelines Sample Questions (Q57-Q62):

NEW QUESTION # 57
When deploying a model, what is "model explainability"?

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

Answer: C


NEW QUESTION # 58
In reinforcement learning, what is the "reward signal"?

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

Answer: B


NEW QUESTION # 59
When deploying a machine learning model, what is "model drift"?

  • A. A sudden increase in the model's accuracy
  • B. The process of feature extraction
  • C. A measure of feature importance
  • D. A change in the distribution of the input data or target variable over time

Answer: D


NEW QUESTION # 60
What is the main goal of data preprocessing in a machine learning pipeline?

  • A. To prepare the data for analysis and modeling
  • B. To remove irrelevant features
  • C. To train the model
  • D. To visualize the data

Answer: A


NEW QUESTION # 61
Which algorithm is commonly used for binary classification in machine learning pipelines, especially when dealing with imbalanced datasets?

  • A. K-Means Clustering
  • B. Linear Regression
  • C. Support Vector Machine (SVM)
  • D. Principal Component Analysis (PCA)

Answer: C


NEW QUESTION # 62
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