CertsTopics Logo

New Year Sale 70% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: save70

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:
Dec 13, 2025
Exam Status:
Stable
Google Professional-Cloud-Developer

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

Are you worried about passing the Google Professional-Cloud-Developer (Google Certified Professional - Cloud Developer) exam? Download the most recent Google Professional-Cloud-Developer braindumps with answers that are 100% real. After downloading the Google Professional-Cloud-Developer exam dumps training , you can receive 99 days of free updates, making this website one of the best options to save additional money. In order to help you prepare for the Google Professional-Cloud-Developer exam questions and verified answers by IT certified experts, CertsTopics has put together a complete collection of dumps questions and answers. To help you prepare and pass the Google Professional-Cloud-Developer exam on your first attempt, we have compiled actual exam questions and their answers. 

Our (Google Certified Professional - Cloud Developer) Study Materials are designed to meet the needs of thousands of candidates globally. A free sample of the CompTIA Professional-Cloud-Developer test is available at CertsTopics. Before purchasing it, you can also see the Google Professional-Cloud-Developer practice exam demo.

Get Professional-Cloud-Developer Full Access

Related Google Exams

Google Certified Professional - Cloud Developer Questions and Answers

Get Free Professional-Cloud-Developer Questions and Answers
Question 1

Your company’s corporate policy states that there must be a copyright comment at the very beginning of all source files. You want to write a custom step in Cloud Build that is triggered by each source commit. You need the trigger to validate that the source contains a copyright and add one for subsequent steps if not there. What should you do?

Options:

A.

Build a new Docker container that examines the files in /workspace and then checks and adds a copyright for each source file. Changed files are explicitly committed back to the source repository.

B.

Build a new Docker container that examines the files in /workspace and then checks and adds a copyright for each source file. Changed files do not need to be committed back to the source repository.

C.

Build a new Docker container that examines the files in a Cloud Storage bucket and then checks and adds a copyright for each source file. Changed files are written back to the Cloud Storage bucket.

D.

Build a new Docker container that examines the files in a Cloud Storage bucket and then checks and adds a copyright for each source file. Changed files are explicitly committed back to the source repository.

Buy Now
Question 2

HipLocal wants to reduce the number of on-call engineers and eliminate manual scaling.

Which two services should they choose? (Choose two.)

Options:

A.

Use Google App Engine services.

B.

Use serverless Google Cloud Functions.

C.

Use Knative to build and deploy serverless applications.

D.

Use Google Kubernetes Engine for automated deployments.

E.

Use a large Google Compute Engine cluster for deployments.

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.

Get Free Professional-Cloud-Developer Questions and Answers