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Discovery models are compared to what to ensure normalization accuracy?

a. Industry benchmarks
b. Best practices
c. Standardized databases
d. Configuration baselines

1 Answer

3 votes

Final answer:

Discovery models are compared to configuration baselines to ensure normalization accuracy by identifying discrepancies and allowing for adjustments to improve model reliability.

Step-by-step explanation:

Discovery models are compared to configuration baselines to ensure normalization accuracy. Configuration baselines are standard references for the desired or approved state of systems or environments which discovery models can be matched against. By doing this comparison, discrepancies and deviations are identified, allowing for adjustments to improve the accuracy and reliability of the discovery models. Normalization accuracy is crucial for ensuring that the model accurately represents the real system it is intended to simulate.

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