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[DOCS] Amends important note on delayed data detection. (#106610) (#106614)
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docs/reference/ml/anomaly-detection/ml-delayed-data-detection.asciidoc

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@@ -54,19 +54,17 @@ image::images/ml-annotations.png["Delayed data annotations in the Single Metric
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[IMPORTANT]
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====
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As the `doc_count` from an aggregation is compared with the
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bucket results of the job, the delayed data check will not work correctly in the
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following cases:
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The delayed data check will not work correctly in the following cases:
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* if the datafeed uses aggregations and the job's `analysis_config` does not have its
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`summary_count_field_name` set to `doc_count`,
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* if the datafeed is _not_ using aggregations and `summary_count_field_name` is set to
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any value.
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* if the {dfeed} uses aggregations that filter data,
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* if the {dfeed} uses aggregations and the job's `analysis_config` does not have
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its `summary_count_field_name` set to `doc_count`,
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* if the {dfeed} is _not_ using aggregations and `summary_count_field_name` is
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set to any value.
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If the datafeed is using aggregations then it's highly likely that the job's
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`summary_count_field_name` should be set to `doc_count`. If
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`summary_count_field_name` is set to any value other than `doc_count`, the
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delayed data check for the datafeed must be disabled.
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If the datafeed is using aggregations, set the job's `summary_count_field_name`
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to `doc_count`. If `summary_count_field_name` is set to any value other than
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`doc_count`, the delayed data check for the datafeed must be disabled.
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====
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There is another tool for visualizing the delayed data on the *Annotations* tab
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in the {anomaly-detect} job management page:

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