Question 690
A cloud security and identity change review identifies: A dashboard claims 300 affected users by counting every malware warning record, but the underlying data includes many repeated events from only 12 endpoints. What acceptance result would validate the desired security outcome?
Explanation
Correct Answer
This specifically validates custom report grouped by users versus events: A seeded test interval reports the verified number of unique affected entities while preserving raw detection counts. The corresponding remediation is: Change the supported query aggregation to count the correct distinct identifiers and show separate total-event metrics. An outcome from a different workflow does not prove this requirement.
Incorrect Answers
Updated laptops show the problematic resource condition while comparable unaffected devices have normal endpoint performance. This is a different failure mechanism from the current case, which concerns a seeded test interval reports the verified number of unique affected entities while preserving raw detection counts.
This option instead describes known boundary events appear exactly once in the intended week and the report period is explicitly labeled. Testing that independent mechanism would not show whether the reported fault has been resolved.
The destination receives a complete controlled batch and logs document any historical interval that cannot be recovered. The stem describes a dashboard claims 300 affected users by counting every malware warning record, but the underlying data includes many repeated events from only 12 endpoints, so this explanation does not account for the observations.