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

Migrate the database to Bigtable and use it to serve all global user traffic.

Migrate the database to Cloud Spanner and use it to serve all global user traffic.

Migrate the database to Firestore in Datastore mode and use it to serve all global user traffic.

Migrate the services to Google Kubernetes Engine and use a load balancer service to better scale the application.

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.

Select a virtual machine (VM) size with higher CPU for Cloud Build runs.

Deploy a Container Registry on a Compute Engine VM in a VPC, and use it to store the final images.

Cache the Docker image for subsequent builds using the -- cache-from argument in your build config file.

Change the base image in the Dockerfile to ubuntu:latest, and install Python 3.7 using a package manager utility.

Store application source code on Cloud Storage, and configure the pipeline to use gsutil to download the source code.