Professional-Cloud-Developer Exam Dumps : Google Certified Professional - Cloud Developer

Develop the microservice code in the same programming language used by the microservice caller.

Create an API contract agreement between the microservice implementation and microservice caller.

Require asynchronous communications between all microservice implementations and microservice callers.

Ensure that sufficient instances of the microservice are running to accommodate the performance requirements.

Implement a versioning scheme to permit future changes that could be incompatible with the current interface.

Include unit tests in their code, and prevent deployments to QA until all tests have a passing status.

Include performance tests in their code, and prevent deployments to QA until all tests have a passing status.

Create health checks for the QA environment, and redeploy the APIs at a later time if the environment is unhealthy.

Redeploy the APIs to App Engine using Traffic Splitting. Do not move QA traffic to the new versions if errors are found.

Use HTTP requests to query the available metadata server at the http://metadata.google.internal/ endpoint with the Metadata-Flavor: Google header.

In the Google Cloud console, navigate to the Project Dashboard and gather configuration details. Navigate to the Cloud Run “Variables & Secrets” tab, and add the desired environment variables in Key:Value format.

In the Google Cloud console, navigate to the Project Dashboard and gather configuration details. Write the application configuration information to Cloud Run's in-memory container filesystem.

Make an API call to the Cloud Asset Inventory API from the application and format the request to include instance metadata.