ML System DesignProduct CaseML Case

A system is needed to detect any unusual behavior on a monitored server and alert the user as soon as possible. How would you design such a system using time series anomaly detection techniques?

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Behavioral
  • A system is needed to detect any unusual behavior on a monitored server and alert the user as soon as possible. How would you design such a system using time series anomaly detection techniques?
  • Can you describe your approach to designing a system that can accurately detect anomalies in time series data and promptly notify the user of any abnormalities?
  • How would you build a system that monitors server data over time and alerts the user when the values deviate from their expected patterns?
  • What is your proposed technique for implementing time series anomaly detection in order to identify unusual activity on a server and notify users in real time?
  • Imagine I want to design a system that alerts the user whenever a pattern in server data appears unusual or abnormal. What would be your preferred method to accomplish this goal?
  • How would you go about creating an anomaly detection system that can detect when a monitored server's data has deviated from its typical pattern and notify the user of the issue?
  • If you were tasked with building a system for monitoring server data and alerting users of any anomalies, what steps would you take to accomplish this?
  • Can you outline your plan for developing a time series anomaly detection system that can efficiently identify unusual server activity and alert the user accordingly?
  • Suppose that I need a system that continually monitors a user's server and notifies them if something seems abnormal. How would you construct such a system using time series anomaly detection?
  • Please describe your proposed approach to creating a system that detects anomalies in a user's server data and sends alerts to get the user's attention.
  • Tell me an approach to design a system (from a Machine Learning perspective) to alert a user that some value you monitor on one of his server is abnormal / deserve action (anomaly detection on time series) ?

Interview question asked to Machine Learning Engineers interviewing at Fujitsu, Adobe, Mailchimp and others: A system is needed to detect any unusual behavior on a monitored server and alert the user as soon as possible. How would you design such a system using time series anomaly detection techniques?.