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Updated: Oct 12, 2026
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How to Prepare For Google Professional Cloud Developer Exam
Preparation Guide for Google Professional Cloud Developer Exam
Introduction
Google has designed different Role Based Certifications for the IT professionals to validate their skillset one among them is Google Professional Cloud Developer. This program gives Google cloud professionals a way to demonstrate their skills. The evaluation relies on a meticulous exam using industry standard methodology to validate aspirants proficiency standards to meet Google's proficiency standards.
According to Google, a Google Certified Professional Cloud Developer facilitate organizations to influence Google Cloud technologies. With a thorough understanding of cloud developer and Google Cloud Platform, this individual can design, develop, and manage robust, secure, scalable, highly available, and dynamic solutions to drive business objectives.
In this guide, we will cover the Google Professional Cloud Developer Exam, Google Professional Cloud Developer Certified Professionals salary and all aspects of the Google Professional Cloud Developer Certification.
Reference: https://cloud.google.com/certification/cloud-developer
The content of the qualifying test for the Google Professional Cloud Developer certification comprises of 5 topics covering specific knowledge and skills. The candidates need to thoroughly study a detailed exam guide available on the official website before attending the test. The highlights of the topics that constitute the structure of the exam are enumerated below:
Section 1: Designing Highly Scalable, Available, and Reliable Cloud-Native Apps
Within this subject area, the examinees need to demonstrate their proficiency in designing high-performing applications & APIs; designing secure applications; managing application data; executing application modernization.
Google Professional Cloud Developer Certified Professional salary
The average salary of a Google Professional Cloud Developer Certified Expert in
- India - 27,42,327 INR
- United State - 181,247 USD
- England - 135,632 POUND
- Europe - 145,347 EURO
Exam Details and Topics
The qualifying test for the Google Professional Cloud Developer certification has the duration of two hours. The questions included in the exam are presented in two formats: multiple select and multiple choice. The applicants can sit for the test either in English or Japanese, and there are two options of the exam delivery: an online proctored test from a remote location or an onsite exam at a testing center. The potential learners can use the search on the official webpage to find the center that is located nearest to them. To register for and schedule the exam, you need to pay the fee of $200 plus applicable taxes.
Google Professional-Cloud-Developer Exam Overview:
| Certification Vendor: | Google Cloud |
|---|---|
| Exam Name: | Google Cloud Certified Professional - Cloud Developer Exam |
| Exam Number: | Professional-Cloud-Developer |
| Real Exam Qty: | 50-60 |
| Exam Duration: | 120 minutes |
| Exam Format: | Multiple choice, Multiple select |
| Exam Price: | $200 USD (plus tax where applicable) |
| Certificate Validity Period: | 2 years |
| Available Languages: | English, Japanese |
| Passing Score: | Not publicly disclosed |
| Related Certifications: | Google Cloud Certified Professional - Cloud Architect Google Cloud Certified Associate - Cloud Engineer |
| Recommended Training: | Google Cloud Professional Cloud Developer Learning Path Official Exam Guide |
| Exam Registration: | Google Cloud Certification Registration |
| Sample Questions: | Google Professional-Cloud-Developer Sample Questions |
| Exam Way: | Online-proctored (remote) or onsite-proctored at authorized testing centers |
| Pre Condition: | No formal prerequisites; recommended: 3+ years industry experience, 1+ year designing/managing Google Cloud solutions |
| Official Syllabus URL: | https://cloud.google.com/learn/certification/cloud-developer |
Google Professional-Cloud-Developer Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Building and testing applications | 23% | - Testing applications
|
| Designing highly scalable, secure, and reliable cloud-native applications | 32% | - Designing high-performing applications and APIs
|
| Integrating applications with Google Cloud services | 21% | - Consuming Google Cloud APIs and services
|
| Configuring cloud-native applications for deployment | 24% | - Deploying applications to Google Kubernetes Engine
|
Google Certified Professional - Cloud Developer Sample Questions:
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?
- A. Configure VPC Network Peering between both networks. In Cloud Run, create a Cloud SQL connection that uses the internal IP. Use Cloud SQL Language Connectors to interact with the database.
- B. Create a subnet on your VPC. Create a Serverless VPC Access connector on your project using the new subnet. In Cloud Run, create a Cloud SQL connection. Use Cloud SQL Language Connectors to interact with the database.
- C. Configure private services access on your project. In Cloud Run, create a Cloud SQL connection.
Use Cloud SQL Language Connectors to interact with the database. - D. Create a Private Service Connect endpoint on your network. Create a Serverless VPC Access connector on your project. Use Cloud SQL Language Connectors to create an internal connection.
Correct Answer: B 🗳️
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You are building a mobile application that will store hierarchical data structures in a database.
The application will enable users working offline to sync changes when they are back online. A backend service will enrich the data in the database using a service account. The application is expected to be very popular and needs to scale seamlessly and securely. Which database and IAM role should you use?
- A. Use Cloud SQL, and assign the roles/cloudsql.editor role to the service account.
- B. Use Firestore in Native mode and assign the roles/datastore.user role to the service account.
- C. Use Bigtable, and assign the roles/bigtable.viewer role to the service account.
- D. Use Firestore in Datastore mode and assign the roles/datastore.viewer role to the service account.
Correct Answer: B 🗳️
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You have an application deployed in Google Kubernetes Engine (GKE) that reads and processes Pub/Sub messages. Each Pod handles a fixed number of messages per minute. The rate at which messages are published to the Pub/Sub topic varies considerably throughout the day and week, including occasional large batches of messages published at a single moment.
You want to scale your GKE Deployment to be able to process messages in a timely manner.
What GKE feature should you use to automatically adapt your workload?
- A. Vertical Pod Autoscaler in Auto mode
- B. Vertical Pod Autoscaler in Recommendation mode
- C. Horizontal Pod Autoscaler based on resources utilization
- D. Horizontal Pod Autoscaler based on an external metric
Correct Answer: D 🗳️
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Your analytics system executes queries against a BigQuery dataset. The SQL query is executed in batch and passes the contents of a SQL file to the BigQuery CLI. Then it redirects the BigQuery CLI output to another process. However, you are getting a permission error from the BigQuery CLI when the queries are executed.
You want to resolve the issue. What should you do?
- A. Create a new dataset in BigQuery, and copy the source table to the new dataset Query the new dataset and table from the CLI.
- B. Create a view in BigQuery from the SQL query and SELECT* from the view in the CLI.
- C. Grant the service account BigQuery Data Editor and BigQuery Data Viewer roles.
- D. Grant the service account BigQuery Data Viewer and BigQuery Job User roles.
Correct Answer: D 🗳️
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Your team manages a Google Kubernetes Engine (GKE) cluster where an application is running.
A different team is planning to integrate with this application. Before they start the integration, you need to ensure that the other team cannot make changes to your application, but they can deploy the integration on GKE. What should you do?
- A. Create a new GKE cluster. Using Identity and Access Management (IAM), grant the Editor role on the cluster project to the other team.
- B. Create a new namespace in the existing cluster. Using Kubernetes role-based access control (RBAC), grant the Admin role on the new namespace to the other team.
- C. Using Identity and Access Management (IAM), grant the Viewer IAM role on the cluster project to the other team.
- D. Create a new namespace in the existing cluster. Using Identity and Access Management (IAM), grant the Editor role on the cluster project to the other team.
Correct Answer: B 🗳️
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