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Updated: Nov 12, 2026
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Building & Testing Apps
- Testing: Here, an applicant needs to have the skills in unit testing, performance testing, integration testing, and load testing.
- Building: It covers the skills in managing source control, improving and reviewing continuous efficiency in the integration pipeline, as well as creating different secure container images through code.
- Set up a Local Development Environment: This subsection measures your skills in creating different Google Cloud projects, using developing tools and command-line interfaces, Cloud Shell tools, and Google Cloud Console, as well as imitating Google Cloud services for the development of the local application.
- Write Efficient Code: The potential candidates should understand algorithm design, software development methodologies, modern app patterns, and debugging & profiling code.
Deploying Apps
- Deploy Cloud Functions: The next objective requires having the skills in securing Cloud functions, Cloud functions invoked through HTTP, and Cloud functions triggered through events from Google Cloud services.
- Use a Service Account: This one covers the students’ skills in downloading and utilizing service account private key files as well as constructing service accounts based on the ethics of least privilege.
- Deploy Applications & Services on the Compute Engine: This area covers bootstrapping of applications, management of service accounts for virtual machines, management of the Compute Engine virtual machine binaries and images, and exporting of application metrics and logs.
- Deploy Applications & Services to GKE: This subtopic includes the evaluation of one’s skills in deploying containerized applications to GCE, configuring Google Cloud IAM and Kubernetes RBAC relationships, identifying workload specifications, and configuring the Kubernetes namespaces, among others.
- Recommend the Relevant Deployment Strategies with the Relevant Tools for a Target Compute Environment: The consideration for this section includes traffic-splitting deployments, canary deployments, rolling deployments, and green/blue deployments.
Reference: https://cloud.google.com/certification/cloud-developer
Section 5: Managing Application Performance Monitoring
The last module of the certification test focuses on the ability of the applicants to perform the following technical tasks: managing Compute Engine Virtual Machines (VMs), managing Google Kubernetes Engine workloads, as well as troubleshooting the application performance.
Some of the questions included in the Google Professional Cloud Developer certification exam may guide you to a case study describing a fictitious solution and business concept. This will provide you with additional context to choose the right answer(s). You can get an idea of a possible case study by studying the example contained in the official study guide.
Exam Overview
The Professional Cloud Developer certification exam is a 2-hour test covering the multiple-choice and multiple-select questions. It can be taken in English or Japanese and is available as an online proctored and an on-site proctored exam. The registration process costs $200, and this is for the delivery of a single test. The candidates who do not pass the exam must retake it to obtain the associated certificate. To do this, they must pay a new exam fee for their retake.
Google Professional-Cloud-Developer Exam Overview:
| Certification Vendor: | Google Cloud |
|---|---|
| Exam Name: | Google Certified Professional - Cloud Developer |
| Exam Number: | Professional-Cloud-Developer |
| Available Languages: | Japanese, English |
| Exam Price: | $200 USD |
| Exam Format: | Multiple Select, Multiple Choice |
| Exam Duration: | 120 minutes |
| Certificate Validity Period: | 2 years |
| Related Certifications: | Google Cloud Certified - Professional Cloud DevOps Engineer Google Cloud Certified - Professional Cloud Architect Google Cloud Certified - Associate Cloud Engineer |
| Real Exam Qty: | 50-60 |
| 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 |
Google Professional-Cloud-Developer Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Integrate applications with Google Cloud services | - Integrate with data and storage services
|
| Deploy applications | - Deploy applications to Google Cloud
|
| Manage application performance monitoring | - Monitor and troubleshoot applications
|
| Build and test applications | - Manage development environments
|
| Design scalable, available, and reliable cloud-native applications | - Design highly performant applications and APIs
|
Google Certified Professional - Cloud Developer Sample Questions:
You manage a microservices application on Google Kubernetes Engine (GKE) using Istio. You secure the communication channels between your microservices by implementing an Istio AuthorizationPolicy, a Kubernetes NetworkPolicy, and mTLS on your GKE cluster. You discover that HTTP requests between two Pods to specific URLs fail, while other requests to other URLs succeed. What is the cause of the connection issue?
- A. The Authorization Policy of your cluster is blocking HTTP requests for specific paths within your application.
- B. A Kubernetes NetworkPolicy resource is blocking HTTP traffic between the Pods.
- C. The Pod initiating the HTTP requests is attempting to connect to the target Pod via an incorrect TCP port.
- D. The cluster has mTLS configured in permissive mode, but the Pod's sidecar proxy is sending unencrypted traffic in plain text.
Correct Answer: A 🗳️
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You work for an organization that manages an online ecommerce website. Your company plans to expand across the world; however, the estore currently serves one specific region. You need to select a SQL database and configure a schema that will scale as your organization grows. You want to create a table that stores all customer transactions and ensure that the customer (CustomerId) and the transaction (TransactionId) are unique. What should you do?
- A. Create a Cloud Spanner table that has TransactionId and CustomerId configured as primary keys. Use a random string (UUID) for the TransactionId.
- B. Create a Cloud SQL table that has TransactionId and CustomerId configured as primary keys.
Use an incremental number for the TransactionId. - C. Create a Cloud Spanner table that has TransactionId and CustomerId configured as primary keys. Use an incremental number for the TransactionId.
- D. Create a Cloud SQL table that has TransactionId and CustomerId configured as primary keys.
Use a random string (UUID) for the Transactionid.
Correct Answer: A 🗳️
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Your company just experienced a Google Kubernetes Engine (GKE) API outage due to a zone failure. You want to deploy a highly available GKE architecture that minimizes service interruption to users in the event of a future zone failure. What should you do?
- A. Deploy Zonal clusters
- B. Deploy Regional clusters
- C. Deploy GKE on-premises clusters
- D. Deploy Multi-Zone clusters
Correct Answer: B 🗳️
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Your team develops stateless services that run on Google Kubernetes Engine (GKE). You need to deploy a new service that will only be accessed by other services running in the GKE cluster.
The service will need to scale as quickly as possible to respond to changing load. What should you do?
- A. Use a Horizontal Pod Autoscaler to scale the containers, and expose them via a ClusterIP Service.
- B. Use a Vertical Pod Autoscaler to scale the containers, and expose them via a NodePort Service.
- C. Use a Vertical Pod Autoscaler to scale the containers, and expose them via a ClusterIP Service.
- D. Use a Horizontal Pod Autoscaler to scale the containers, and expose them via a NodePort Service.
Correct Answer: A 🗳️
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You are developing a microservice-based application that will run on Google Kubernetes Engine (GKE). Some of the services need to access different Google Cloud APIs. How should you set up authentication of these services in the cluster following Google-recommended best practices?
(Choose two.)
- A. Use the service account attached to the GKE node.
- B. Store the Google service account keys in a central secret management service.
- C. Use gcloud to bind the Kubernetes service account and the Google service account using roles/iam.workloadIdentity.
- D. Enable Workload Identity in the cluster via the gcloud command-line tool.
- E. Access the Google service account keys from a secret management service.
Correct Answer: C,D 🗳️
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