Cloud Build builds a Python app image using FROM python:3.7-alpine and gunicorn. Builds are slow. Which two actions reduce build time?

Increasing the VM size for Cloud Build provides more CPU and memory resources, directly accelerating build processes, especially for compute-intensive tasks like compiling or dependency resolution. Caching Docker layers with --cache-from reuses previously built layers, avoiding redundant downloads and builds of unchanged base images or dependencies, significantly reducing build times for subsequent builds. Deploying Container Registry on a Compute Engine VM is unnecessary; Google Container Registry (GCR) is a managed service. Changing the base image to ubuntu:latest and installing Python would likely increase build time due to a larger base image and additional installation steps. Storing source code on Cloud Storage and using gsutil is not a typical or efficient method for Cloud Build, which integrates directly with source repositories like Cloud Source Repositories or GitHub.