In the recommended watsonx.governance monitoring configuration sequence, which step immediately precedes setting alert thresholds?
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Short Explanation and Infographic
Think of it like setting up smoke detectors in a building — you configure them before anything can go wrong. The recommended watsonx.governance monitoring configuration sequence is: define fairness parameters → set quality thresholds with minimum sample sizes → configure drift → select explainability algorithm → configure feedback dataset → set alert thresholds → configure notifications → set monitoring schedule. Feedback dataset configuration is the step that immediately precedes alert threshold setup.
Full explanation below image
Full Explanation
The recommended watsonx.governance monitoring configuration sequence is: define fairness parameters → set quality thresholds with minimum sample sizes → configure drift → select explainability algorithm → configure feedback dataset → set alert thresholds → configure notifications → set monitoring schedule. Feedback dataset configuration is the step that immediately precedes alert threshold setup. This ordering ensures all data dependencies are resolved before alerting rules are applied. The incorrect options — such as 'Define the protected attribute and reference group for fairness monitoring' and 'Upload the training data baseline payload to establish the drift detection reference' — describe either out-of-sequence steps or unrelated configuration tasks. This concept falls under the 4.0 Configure Evaluation and Monitoring domain of the IBM watsonx.governance certification.