An environment with variable usage patterns requires a reliable strategy to detect performance anomalies. Which approach best ensures prompt identification of abnormal resource usage?
Capture random segments of resource consumption multiple times per month
Depend on error records from a guest operating system for performance events
Set a frequent schedule to gather usage details and retain prior data for review
Inspect usage details once a week to look for anomalies
Regularly collecting data at a consistent interval and storing it for trend analysis makes patterns visible while also revealing irregularities. Other methods connect partial insights or might delay discovery. Weekly or random sampling can overlook short-lived spikes or dips, and focusing on event logs alone may not reveal usage trends.
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Why is setting a frequent schedule to gather usage details and retaining prior data for review effective?
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What are the limitations of depending on error records from a guest operating system?
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Why might weekly or random sampling of usage details be insufficient for detecting anomalies?
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