Free Professional-Cloud-Developer Questions for Google Certified Professional - Cloud Developer Professional-Cloud-Developer Exam as PDF & Practice Test Engine

You are responsible for developing a new ecommerce application that is running on Cloud Run.
You need to connect your application to a Cloud SQL database that is in a separate project. This project is on an isolated network dedicated to multiple databases without a public IP. You need to connect your application to this database. What should you do?

You are developing an application that reads credit card data from a Pub/Sub subscription. You have written code and completed unit testing. You need to test the Pub/Sub integration before deploying to Google Cloud. What should you do?

You have containerized a legacy application that stores its configuration on an NFS share. You need to deploy this application to Google Kubernetes Engine (GKE) and do not want the application serving traffic until after the configuration has been retrieved. What should you do?

You need to configure a Deployment on Google Kubernetes Engine (GKE). You want to include a check that verifies that the containers can connect to the database. If the Pod is failing to connect, you want a script on the container to run to complete a graceful shutdown. How should you configure the Deployment?

You need to deploy a new feature into production on Cloud Run. Your company's SRE team mandates gradual deployments to avoid large downtimes caused by code change errors. You want to configure this deployment with minimal effort. What should you do?

Your team is writing a backend application to implement the business logic for an interactive voice response (IVR) system that will support a payroll application. The IVR system has the following technical characteristics:
- Each customer phone call is associated with a unique IVR session.
- The IVR system creates a separate persistent gRPC connection to the
backend for each session.
- If the connection is interrupted, the IVR system establishes a new
connection, causing a slight latency for that call.
You need to determine which compute environment should be used to deploy the backend application. Using current call data, you determine that:
- Call duration ranges from 1 to 30 minutes.
- Calls are typically made during business hours.
- There are significant spikes of calls around certain known dates
(e.g., pay days), or when large payroll changes occur.
You want to minimize cost, effort, and operational overhead. Where should you deploy the backend application?

Your team is building an application for a financial institution. The application's frontend runs on Compute Engine, and the data resides in Cloud SQL and one Cloud Storage bucket. The application will collect data containing PII, which will be stored in the Cloud SQL database and the Cloud Storage bucket. You need to secure the PII data. What should you do?

You are designing a schema for a table that will be moved from MySQL to Cloud Bigtable. The MySQL table is as follows:

How should you design a row key for Cloud Bigtable for this table?

You have developed a Python application that you want to containerize and deploy to Cloud Run.
You have developed a Cloud Build pipeline with the following steps:

After triggering the pipeline, you notice in the Cloud Build logs that the final step of the pipeline fails and the container is unable to be deployed to Cloud Run. What is the cause of this issue, and how should you resolve it?

Your team is using App Engine to write every Cloud Pub/Sub message to both a Cloud Storage object and a BigQuery table. You want to achieve the greatest resource efficiency. Which architecture should you implement?

You are using Cloud Build to build a Docker image. You need to modify the build to execute unit and run integration tests. When there is a failure, you want the build history to clearly display the stage at which the build failed.
What should you do?

Your team is trying to reduce their cloud spend, and you want to evaluate your GKE Autopilot cluster costs. When reviewing the manifests, you see that resource requests are currently not specified. Your application is stateless and fault-tolerant, and there are no specific hardware or memory requirements on nodes. You want to modify the cluster to be scalable and cost-effective as quickly as possible while maintaining a cluster with sufficient computing resources. What should you do?

You have an on-premises containerized service written in the current stable version of Python 3 that is available only to users in the United States. The service has high traffic during the day and no traffic at night. You need to migrate this application to Google Cloud and track error logs after the migration in Error Reporting. You want to minimize the cost and effort of these tasks. What should you do?

You are currently pushing container images to Artifact Registry and deploying a containerized microservices application to GKE. After deploying the application, you notice that the services do not behave as expected. You use the kubectl get pods command to inspect the state of the application Pods, and discover that one of the Pods has a state of CrashLoopBackoff. How should you troubleshoot the Pod?

Your company has a new security initiative that requires all data stored in Google Cloud to be encrypted by customer-managed encryption keys. You plan to use Cloud Key Management Service (KMS) to configure access to the keys. You need to follow the "separation of duties" principle and Google-recommended best practices. What should you do? (Choose two.)