3.1 Balancing Change, Velocity, and Reliability of the Service PROFESSIONAL-CLOUD-DEVOPS-ENGINEER Practice Questions (Page 1)

Questions 1–5

1. 1application · medium

   A SaaS company provides a CRM application. The sales team has signed a contract with a customer that includes a 99.9% availability commitment with financial penalties if not met. The engineering team has an internal SLO of 99.95% availability. What is the primary reason for the engineering team to set their SLO higher than the contractual SLA?

   • ATo ensure that the internal SLO is easier to achieve than the SLA.
   • BTo align the SLO with the SLA so that both are measured the same way.
   • CTo reduce the error budget so that the team is forced to be more reliable.
   • DTo provide a buffer so that the team can miss the SLO without breaching the SLA.
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2. 2expert · hard

   A team runs a microservices-based application on Google Kubernetes Engine (GKE) with Cloud Service Mesh. They have an SLO of 99.9% availability. They want to use error budget consumption to automate rollbacks. Which approach is the most effective?

   • AUse a CI/CD pipeline that requires a human to approve the deployment if the error budget is low.
   • BRely on the GKE cluster's built-in auto-repair feature to fix issues.
   • CConfigure a Cloud Service Mesh policy that automatically rolls back a deployment if the error budget consumption exceeds a threshold.
   • DSet up a cron job that checks the error budget every hour and manually rolls back if needed.
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4. 3application · medium

   A team manages a mobile banking app. They want to define an SLI for availability. Which of the following is the most appropriate SLI?

   • AThe percentage of API requests that return a 2xx status code.
   • BThe percentage of successful logins and balance checks.
   • CThe percentage of time the database is available.
   • DThe percentage of push notifications delivered successfully.
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5. 4application · medium

   A team has an SLO of 99.9% availability over a 30-day month. They have already consumed 30 minutes of downtime. What is the remaining error budget?

   • A73.2 minutes
   • B43.2 minutes
   • C30 minutes
   • D13.2 minutes
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6. 5application · medium

   A team uses Cloud Service Mesh to manage a microservices application. They have an SLO of 99.9% availability. The error budget is almost exhausted. They need to deploy a critical security patch. What is the best way to deploy the patch while minimizing the risk of exhausting the error budget?

   • ADeploy the patch during off-peak hours to minimize user impact.
   • BDeploy the patch to all instances at once to ensure consistency.
   • CDelay the patch until the error budget resets next month.
   • DUse a canary deployment with a small percentage of traffic and monitor the error rate.
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