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You are deploying a Python application to Cloud Run using Cloud Source Repositories and Cloud Build. The Cloud Build pipeline is shown below:
steps:
- name: python
entrypoint: pip
args: ["install", "-r", "requirements.txt", "--user"]
- name: 'gcr.io/cloud-builders/docker'
args: ['build', '-t', 'us-central1-docker.pkg.dev/$(PROJECT_ID)/$(_REPO_NAME)/myimage:$(SHORT_SHA)', '.']
- name: 'gcr.io/cloud-builders/docker'
args: ['push', 'us-central1-docker.pkg.dev/$(PROJECT_ID)/$(_REPO_NAME)/myimage:$(SHORT_SHA)']
- name: google/cloud-sdk
args: ['cloud', 'run', 'deploy', 'helloworld-$(SHORT_SHA)',
'--image=us-central1-docker.pkg.dev/$(PROJECT_ID)/$(_REPO_NAME)/myimage:$(SHORT_SHA)',
'--region', 'us-central1', '--platform', 'managed',
'--allow-unauthenticated']
steps:
- name: python
entrypoint: pip
args: ["install", "-r", "requirements.txt", "--user"]
- name: 'gcr.io/cloud-builders/docker'
args: ['build', '-t', 'us-central1-docker.pkg.dev/$(PROJECT_ID)/$(_REPO_NAME)/myimage:$(SHORT_SHA)', '.']
- name: 'gcr.io/cloud-builders/docker'
args: ['push', 'us-central1-docker.pkg.dev/$(PROJECT_ID)/$(_REPO_NAME)/myimage:$(SHORT_SHA)']
- name: google/cloud-sdk
args: ['cloud', 'run', 'deploy', 'helloworld-$(SHORT_SHA)',
'--image=us-central1-docker.pkg.dev/$(PROJECT_ID)/$(_REPO_NAME)/myimage:$(SHORT_SHA)',
'--region', 'us-central1', '--platform', 'managed',
'--allow-unauthenticated']
You want to optimize deployment times and avoid unnecessary steps. What should you do?_
A
Remove the step that pushes the container to Artifact Registry.
B
Deploy a new Docker registry in a VPC, and use Cloud Build worker pools inside the VPC to run the build pipeline.
C
Store image artifacts in a Cloud Storage bucket in the same region as the Cloud Run instance.
D
Add the --cache-from argument to the Docker build step in your build config file.