Professional-Cloud-Developer Exam Question 66

You are in the final stage of migrating an on-premises data center to Google Cloud. You are quickly approaching your deadline, and discover that a web API is running on a server slated for decommissioning.
You need to recommend a solution to modernize this API while migrating to Google Cloud. The modernized web API must meet the following requirements:
* Autoscales during high traffic periods at the end of each month
* Written in Python 3.x
* Developers must be able to rapidly deploy new versions in response to frequent code changes You want to minimize cost, effort, and operational overhead of this migration. What should you do?
  • Professional-Cloud-Developer Exam Question 67

    Your company has created an application that uploads a report to a Cloud Storage bucket. When the report is uploaded to the bucket, you want to publish a message to a Cloud Pub/Sub topic. You want to implement a solution that will take a small amount to effort to implement. What should you do?
  • Professional-Cloud-Developer Exam Question 68

    The new version of your containerized application has been tested and is ready to deploy to production on Google Kubernetes Engine. You were not able to fully load-test the new version in pre-production environments, and you need to make sure that it does not have performance problems once deployed. Your deployment must be automated. What should you do?
  • Professional-Cloud-Developer Exam Question 69

    You have recently instrumented a new application with OpenTelemetry, and you want to check the latency of your application requests in Trace. You want to ensure that a specific request is always traced. What should you do?
  • Professional-Cloud-Developer Exam Question 70

    You have an application running in a production Google Kubernetes Engine (GKE) cluster. You use Cloud Deploy to automatically deploy your application to your production GKE cluster. As part of your development process: you are planning to make frequent changes to the applications source code and need to select the tools to test the changes before pushing them to your remote source code repository. Your toolset must meet the following requirements:
    * Test frequent local changes automatically.
    * Local deployment emulates production deployment.
    Which tools should you use to test building and running a container on your laptop using minimal resources'?