Google Professional Cloud DevOps Engineer
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Your product is deployed across three Google Cloud Platform (GCP) zones, with users distributed among them. Failover between zones is possible but results in a 10-minute service disruption for affected users. Database failures occur once per quarter and are detected within five minutes. You are evaluating reliability risks for a new real-time chat feature, cataloging the following for each risk:
- Mean Time to Detect (MTTD) in minutes
- Mean Time to Repair (MTTR) in minutes
- Mean Time Between Failures (MTBF) in days
- User Impact Percentage
The chat feature introduces a new database system with a failover time twice as long as the current system. You need to determine the risk values for the new database failing in one zone. What are the MTTD, MTTR, MTBF, and User Impact Percentage for this scenario?
Your product is deployed across three Google Cloud Platform (GCP) zones, with users distributed among them. Failover between zones is possible but results in a 10-minute service disruption for affected users. Database failures occur once per quarter and are detected within five minutes. You are evaluating reliability risks for a new real-time chat feature, cataloging the following for each risk:
- Mean Time to Detect (MTTD) in minutes
- Mean Time to Repair (MTTR) in minutes
- Mean Time Between Failures (MTBF) in days
- User Impact Percentage
The chat feature introduces a new database system with a failover time twice as long as the current system. You need to determine the risk values for the new database failing in one zone. What are the MTTD, MTTR, MTBF, and User Impact Percentage for this scenario?
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