Free Google Professional-Cloud-Developer Exam Dumps Questions & Answers

You are deploying a Python application to Cloud Run using Cloud Source Repositories and Cloud Build. The Cloud Build pipeline is shown below:

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.  Add the --cache-from argument to the Docker build step in your build config file.
• C.  Store image artifacts in a Cloud Storage bucket in the same region as the Cloud Run instance.
• D.  Deploy a new Docker registry in a VPC, and use Cloud Build worker pools inside the VPC to run the build pipeline.

You recently developed an application. You need to call the Cloud Storage API from a Compute Engine instance that doesn't have a public IP address. What should you do?

• A.  Use Carrier Peering
• B.  Use Shared VPC networks
• C.  Use VPC Network Peering
• D.  Use Private Google Access

You have an on-premises application that authenticates to the Cloud Storage API using a user- managed service account with a user-managed key. The application connects to Cloud Storage using Private Google Access over a Dedicated Interconnect link. You discover that requests from the application to access objects in the Cloud Storage bucket are failing with a 403 Permission Denied error code. What is the likely cause of this issue?

• A.  The service account key has been rotated but not updated on the application server.
• B.  The permissions of the service account's predefined role have changed.
• C.  The folder structure inside the bucket and object paths have changed.
• D.  The Interconnect link from the on-premises data center to Google Cloud is experiencing a temporary outage.

You recently deployed your application in Google Kubernetes Engine, and now need to release a new version of your application. You need the ability to instantly roll back to the previous version in case there are issues with the new version. Which deployment model should you use?

• A.  Perform a canary deployment, and test your new application periodically after the new version is deployed.
• B.  Perform a blue/green deployment, and test your new application after the deployment is.
  complete.
• C.  Perform A/B testing, and test your application periodically after the new tests are implemented.
• D.  Perform a rolling deployment, and test your new application after the deployment is complete.

You are developing a dashboard that aggregates temperature readings from thousands of IoT devices monitoring a city's ambient temperature. You expect a large amount of viewing traffic resulting in a large amount of data egress once the dashboard is live. The dashboard temperature display data doesn't need to be real-time and can tolerate a few seconds of lag. You decide to deploy Memorystore for Redis as the storage backend. You want to ensure that the dashboard will be highly available. How should you configure the service in Memorystore for Redis?

• A.  Set up Serverless VPC Access to avoid receiving traffic over the internet.
• B.  Update Memorystore for Redis to the latest version.
• C.  Configure Memorystore to use read replicas.
• D.  Use Private Service Access to enable low-latency network throughput.