2026 Professional-Cloud-Developer: Google Certified Professional - Cloud Developer Authoritative Practice Test

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Google Professional-Cloud-Developer Exam Overview:

Certification Vendor:Google Cloud
Exam Name:Google Certified Professional - Cloud Developer
Exam Number:Professional-Cloud-Developer
Real Exam Qty:50-60
Available Languages:English, Japanese
Exam Format:Multiple Select, Multiple Choice
Certificate Validity Period:2 years
Exam Price:$200 USD
Exam Duration:120 minutes
Related Certifications:Google Cloud Certified - Professional Cloud Architect
Google Cloud Certified - Associate Cloud Engineer
Google Cloud Certified - Professional Cloud DevOps Engineer
Sample Questions:Google Professional-Cloud-Developer Sample Questions
Exam Way:Online-proctored or onsite-proctored at a testing center
Pre Condition:No formal prerequisites. Recommended experience: 3+ years of industry experience including 1+ years designing and managing solutions using Google Cloud.
Official Syllabus URL:https://cloud.google.com/learn/certification/cloud-developer

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Google Professional-Cloud-Developer Certification is a highly recognized certification exam that aims to validate an individual’s ability to develop, deploy, and manage applications on Google Cloud Platform (GCP). Google Certified Professional - Cloud Developer certification is designed for developers who are familiar with GCP and have experience in software development, and who want to demonstrate their skills and knowledge.

Google Certified Professional - Cloud Developer Sample Questions (Q317-Q322):

NEW QUESTION # 317
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'?

Answer: D


NEW QUESTION # 318
Your development team is using Cloud Build to promote a Node.js application built on App Engine from your staging environment to production. The application relies on several directories of photos stored in a Cloud Storage bucket named webphotos-staging in the staging environment. After the promotion, these photos must be available in a Cloud Storage bucket named webphotos-prod in the production environment. You want to automate the process where possible. What should you do?
A)
Manually copy the photos to webphotos-prod.
B)
Add a startup script in the application's app.yami file to move the photos from webphotos-staging to webphotos-prod.
C)
Add a build step in the cloudbuild.yaml file before the promotion step with the arguments:

D)
Add a build step in the cloudbuild.yaml file before the promotion step with the arguments:

Answer: A

Explanation:
https://cloud.google.com/storage/docs/gsutil/commands/cp


NEW QUESTION # 319
Your team plans to use AlloyDB as their database backend for an upcoming application release.
Your application is currently hosted in a different project and network than the AlloyDB instances.
You need to securely connect your application to the AlloyDB instance while keeping the projects isolated. You want to minimize additional operations and follow Google-recommended practices.
How should you configure the network for database connectivity?

Answer: B

Explanation:
Secure Connectivity: A Shared VPC allows you to connect resources across different projects securely while keeping them isolated, following Google-recommended practices for network architecture.
Centralized Management: By using a Shared VPC, you can centralize network management and reduce complexity in firewall rules and routing.
Isolation and Flexibility: This approach allows your application and database to remain in separate projects while still being able to communicate securely.


NEW QUESTION # 320
In order to meet their business requirements, how should HipLocal store their application state?

Answer: B


NEW QUESTION # 321
You are developing an application using different microservices that should remain internal to the cluster. You want to be able to configure each microservice with a specific number of replicas. You also want to be able to address a specific microservice from any other microservice in a uniform way, regardless of the number of replicas the microservice scales to. You need to implement this solution on Google Kubernetes Engine. What should you do?

Answer: B


NEW QUESTION # 322
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