SASINSTITUTE - A00-406 - SAS® VIYA® SUPERVISED MACHINE LEARNING PIPELINES ACCURATE VALID TEST CAMP

SASInstitute - A00-406 - SAS® Viya® Supervised Machine Learning Pipelines Accurate Valid Test Camp

SASInstitute - A00-406 - SAS® Viya® Supervised Machine Learning Pipelines Accurate Valid Test Camp

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SASInstitute SAS® Viya® Supervised Machine Learning Pipelines Sample Questions (Q76-Q81):

NEW QUESTION # 76
What is the purpose of cross-validation in model building and evaluation?

  • A. Splitting the dataset into training and testing sets
  • B. Reducing the dataset size
  • C. Generating synthetic data
  • D. Assessing the model's generalization performance

Answer: D


NEW QUESTION # 77
Which type of data source typically stores structured data in a tabular format?

  • A. NoSQL databases
  • B. Relational databases
  • C. Text documents
  • D. APIs

Answer: B


NEW QUESTION # 78
Which evaluation metric is commonly used for assessing the performance of a regression model?

  • A. Precision
  • B. Confusion Matrix
  • C. Mean Absolute Error (MAE)
  • D. F1 Score

Answer: C


NEW QUESTION # 79
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 # 80
What is the primary role of a data warehouse in an organization?

  • A. Data exploration and visualization
  • B. Data transformation and cleaning
  • C. Real-time data analysis
  • D. Long-term data storage and analysis

Answer: D


NEW QUESTION # 81
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