5.1 Advising Development and Operation Teams to Ensure the Successful Deployment of the Solution PROFESSIONAL-CLOUD-ARCHITECT Practice Questions (Page 3)

Questions 11–15

1. 11foundation · easy

   Which type of test verifies that individual functions or methods of an application produce the expected output for given inputs?

   • ALoad test
   • BIntegration test
   • CEnd-to-end test
   • DUnit test
   Reveal Solution Discussion Select an answer first
2. 12foundation · easy

   Which of the following is an example of how Gemini Cloud Assist can assist during troubleshooting?

   • AAutomatically rolling back a failed deployment without user input
   • BReplacing the need for Cloud Monitoring and Cloud Logging
   • CProviding step-by-step guidance to diagnose and resolve issues
   • DWriting all your application code for you
   Reveal Solution Discussion Select an answer first
4. 13expert · hard

   A social media company is preparing to launch a new feature that is expected to increase traffic by 50%. The application runs on GKE. The team has run a load test that shows the application can handle the expected traffic, but the 99th percentile latency is higher than the target. The team needs to reduce latency without over-provisioning resources. What should they do?

   • AUse Cloud Profiler to identify the bottleneck in the application code
   • BEnable horizontal pod autoscaling to scale based on CPU utilization
   • CUse Gemini Cloud Assist to automatically rewrite the application code to be more efficient
   • DIncrease the number of replicas in the deployment
   Reveal Solution Discussion Select an answer first
5. 14foundation · easy

   Which phase of a data migration involves analyzing the source data to understand its structure, quality, and dependencies before planning the migration?

   • AAssessment
   • BValidation
   • CData transfer
   • DSchema conversion
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6. 15expert · hard

   An e-commerce company is preparing for a seasonal sales event. They have a web application on Google Kubernetes Engine (GKE) that is expected to handle 10x the normal traffic. The team has run a load test that shows the application can handle the expected peak load, but the error rate starts to climb after about 15 minutes of sustained peak traffic. The application's backend database is a Cloud SQL instance. The team needs to ensure the application remains stable during the event. What should the team do first?

   • AIncrease the Cloud SQL instance tier to a higher machine type
   • BAnalyze the load test results to identify the bottleneck, focusing on database connections and latency
   • CIncrease the number of replicas in the GKE deployment and enable horizontal pod autoscaling
   • DSwitch the deployment strategy to blue/green to allow for instant rollback during the event
   Reveal Solution Discussion Select an answer first