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Google Professional-Cloud-Developer Exam Questions

Google Professional-Cloud-Developer Exam Questions Answers

Google Certified Professional - Cloud Developer

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  Updated 06, 04,2026
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Google Professional-Cloud-Developer Practice Test Questions ( Updated) – Real Exam Questions & Dumps PDF

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Google Professional-Cloud-Developer Sample Questions – Free Practice Test & Real Exam Prep

Question #1

You are parsing a log file that contains three columns: a timestamp, an account number (a string), and a transaction amount (a number). You want to calculate the sum of all transaction amounts for each unique account number efficiently. Which data structure should you use?

  • A. A linked list 
  • B. A hash table 
  • C. A two-dimensional array 
  • D. A comma-delimited string
Answer: B
Question #2

You are developing an HTTP API hosted on a Compute Engine virtual machine instance that needs to be invoked by multiple clients within the same Virtual Private Cloud (VPC). You want clients to be able to get the IP address of the service. What should you do?

  • A. Reserve a static external IP address and assign it to an HTTP(S) load balancing service's forwarding rule. Clients should use this IP address to connect to the service.
  •  B. Reserve a static external IP address and assign it to an HTTP(S) load balancing service's forwarding rule. Then, define an A record in Cloud DNS. Clients should use the name of the A record to connect to the service.
  •  C. Ensure that clients use Compute Engine internal DNS by connecting to the instance name with the url https://[INSTANCE_NAME].[ZONE].c.[PROJECT_ID].internal/. 
  • D. Ensure that clients use Compute Engine internal DNS by connecting to the instance name with the url https://[API_NAME]/[API_VERSION]/. 
Answer: D
Question #3

You are developing a new application that has the following design requirements: Creation and changes to the application infrastructure are versioned and auditable. The application and deployment infrastructure uses Google-managed services as much as possible. The application runs on a serverless compute platform. How should you design the application’s architecture?

  • A. 1. Store the application and infrastructure source code in a Git repository. 2. Use Cloud Build to deploy the application infrastructure with Terraform. 3. Deploy the application to a Cloud Function as a pipeline step. 
  • B. 1. Deploy Jenkins from the Google Cloud Marketplace, and define a continuous integration pipeline in Jenkins. 2. Configure a pipeline step to pull the application source code from a Git repository. 3. Deploy the application source code to App Engine as a pipeline step. 
  • C. 1. Create a continuous integration pipeline on Cloud Build, and configure the pipeline to deploy the application infrastructure using Deployment Manager templates. 2. Configure a pipeline step to create a container with the latest application source code. 3. Deploy the container to a Compute Engine instance as a pipeline step.
  • D. 1. Deploy the application infrastructure using gcloud commands. 2. Use Cloud Build to define a continuous integration pipeline for changes to the application source code. 3. Configure a pipeline step to pull the application source code from a Git repository, and create a containerized application. 4. Deploy the new container on Cloud Run as a pipeline step. 
Answer: D
Reference: https://cloud.google.com/docs/ci-cd
Question #4

You are developing a microservice-based application that will be deployed on a Google Kubernetes Engine cluster. The application needs to read and write to a Spanner database. You want to follow security best practices while minimizing code changes. How should you configure your application to retrieve Spanner credentials?

  • A. Configure the appropriate service accounts, and use Workload Identity to run the pods. 
  • B. Store the application credentials as Kubernetes Secrets, and expose them as environment variables. 
  • C. Configure the appropriate routing rules, and use a VPC-native cluster to directly connect to the database. 
  • D. Store the application credentials using Cloud Key Management Service, and retrieve them whenever a database connection is made. 
Question #5

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? 

  • A. Use the gsutil utility to copy files from within the Docker container at startup, and start the service using an ENTRYPOINT script. 
  • B. Create a PersistentVolumeClaim on the GKE cluster. Access the configuration files from the volume, and start the service using an ENTRYPOINT script. 
  • C. Use the COPY statement in the Dockerfile to load the configuration into the container image. Verify that the configuration is available, and start the service using an ENTRYPOINT script. 
  • D. Add a startup script to the GKE instance group to mount the NFS share at node startup. Copy the configuration files into the container, and start the service using an ENTRYPOINT script.
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