You are deploying a Python application to Cloud Run using Cloud Build. The Cloud Build pipeline is shown below:
You want to optimize deployment times and avoid unnecessary steps What should you do?
You are a developer at a large organization. Your team uses Git for source code management (SCM). You want to ensure that your team follows Google-recommended best practices to manage code to drive higher rates of software delivery. Which SCM process should your team use?
You need to load-test a set of REST API endpoints that are deployed to Cloud Run. The API responds to HTTP POST requests Your load tests must meet the following requirements:
* Load is initiated from multiple parallel threads
* User traffic to the API originates from multiple source IP addresses.
* Load can be scaled up using additional test instances
You want to follow Google-recommended best practices How should you configure the load testing'?
Your application stores customers' content in a Cloud Storage bucket, with each object being encrypted with the customer's encryption key. The key for each object in Cloud Storage is entered into your application by the customer. You discover that your application is receiving an HTTP 4xx error when reading the object from Cloud Storage What is a possible cause of this error?
You are reviewing and updating your Cloud Build steps to adhere to Google-recommended practices. Currently, your build steps include:
1. Pull the source code from a source repository.
2. Build a container image
3. Upload the built image to Artifact Registry.
You need to add a step to perform a vulnerability scan of the built container image, and you want the results of the scan to be available to your deployment pipeline running in Google Cloud. You want to minimize changes that could disrupt other teams' processes What should you do?
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