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

Create a service to publish messages, and deploy the Pub/Sub emulator. Generate random content in the publishing service, and publish to the emulator.

Create a service to publish messages to your application. Collect the messages from Pub/Sub in production, and replay them through the publishing service.

Create a service to publish messages, and deploy the Pub/Sub emulator. Collect the messages from Pub/Sub in production, and publish them to the emulator.

Create a service to publish messages, and deploy the Pub/Sub emulator. Publish a standard set of testing messages from the publishing service to the emulator.

Store the session information in Pub/Sub, and store the shopping cart information in Cloud SQL.

Store the shopping cart information in a file on Cloud Storage where the filename is the SESSION ID.

Store the session and shopping cart information in a MySQL database running on multiple Compute Engine instances.

Store the session information in Memorystore for Redis or Memorystore for Memcached, and store the shopping cart information in Firestore.

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.