[03/Argun/05]
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Questions and Answers

What is the impact of adjusting concept classification identification on the quality of the generated model?

  • It has no impact on the quality of the generated model
  • It directly impacts the quality of the generated model (correct)
  • It only impacts the quality of the generated model in specific cases
  • It negatively impacts the quality of the generated model
  • What is the level of effort required for adjusting concept classification identification?

  • Effort varies based on the source table
  • Effort is not specified in the text
  • Effort is high
  • Effort is low (correct)
  • How many records need to be classified for each source table in the context of adjusting concept classification identification?

  • No records
  • One record (correct)
  • Multiple records
  • The text does not specify the number of records
  • Is adjusting concept classification identification a high-effort task?

    <p>False</p> Signup and view all the answers

    Does adjusting concept classification identification directly impact the quality of the generated model?

    <p>True</p> Signup and view all the answers

    Is the effort for classifying one record for each source table considered low in the context of adjusting concept classification identification?

    <p>True</p> Signup and view all the answers

    Match the following terms with their corresponding descriptions:

    <p>Concept Classification Identification = Directly impacts quality of generated model Effort = Low Repeating patterns = Best effort for value One record to be classified for each source table = Adjust Concept Classification Identification of concepts</p> Signup and view all the answers

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