Your product is currently deployed in three Google Cloud Platform (GCP) zones with your users divided between the zones. You can fail over from one zone to another, but it causes a 10-minute service disruption for the affected users. You typically experience a database failure once per quarter and can detect it within five minutes. You are cataloging the reliability risks of a new real-time chat feature for your product.
You catalog the following information for each risk:
• Mean Time to Detect (MUD} in minutes
• Mean Time to Repair (MTTR) in minutes
• Mean Time Between Failure (MTBF) in days
• User Impact Percentage
The chat feature requires a new database system that takes twice as long to successfully fail over between zones. You want to account for the risk of the new database failing in one zone .
What would be the values for the risk of database failover with the new system?
A . MTTD: 5
MTTR: 10
MTBF: 90
Impact: 33%
B . MTTD:5
MTTR: 20
MTBF: 90
Impact: 33%
C . MTTD:5
MTTR: 10
MTBF: 90
Impact 50%
D . MTTD:5
MTTR: 20
MTBF: 90
Impact: 50%
Answer: B
Explanation:
https://www.atlassian.com/incident-management/kpis/common-metrics
https://linkedin.github.io/school-of-sre/
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