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Google Professional-Cloud-Developer Exam With Confidence Using Practice Dumps

Exam Code:
Professional-Cloud-Developer
Exam Name:
Google Certified Professional - Cloud Developer
Certification:
Cloud Developer
Vendor:
Google
Questions:
265
Last Updated:
Feb 18, 2026
Exam Status:
Stable
Google Professional-Cloud-Developer

Professional-Cloud-Developer: Cloud Developer Exam 2025 Study Guide Pdf and Test Engine

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Google Certified Professional - Cloud Developer Questions and Answers

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Question 1

You have an application running in a production Google Kubernetes Engine (GKE) cluster. You use Cloud Deploy to automatically deploy your application to your production GKE cluster. As part of your development process: you are planning to make frequent changes to the applications source code and need to select the tools to test the changes before pushing them to your remote source code repository. Your toolset must meet the following requirements:

• Test frequent local changes automatically.

• Local deployment emulates production deployment.

Which tools should you use to test building and running a container on your laptop using minimal resources'?

Options:

A.

Terraform and kubeadm

B.

Docker Compose and dockerd

C.

Minikube and Skaffold

D.

kaniko and Tekton

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Question 2

Your teammate has asked you to review the code below, which is adding a credit to an account balance in Cloud Datastore. Which improvement should you suggest your teammate make?

Options:

A.

Get the entity with an ancestor query.

B.

Get and put the entity in a transaction.

C.

Use a strongly consistent transactional database.

D.

Don’t return the account entity from the function.

Question 3

You are developing a marquee stateless web application that will run on Google Cloud. The rate of the incoming user traffic is expected to be unpredictable, with no traffic on some days and large spikes on other days. You need the application to automatically scale up and down, and you need to minimize the cost associated with running the application. What should you do?

Options:

A.

Build the application in Python with Firestore as the database. Deploy the application to Cloud Run.

B.

Build the application in C# with Firestore as the database. Deploy the application to App Engine flexible environment.

C.

Build the application in Python with CloudSQL as the database. Deploy the application to App Engine standard environment.

D.

Build the application in Python with Firestore as the database. Deploy the application to a Compute Engine managed instance group with autoscaling.

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