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This certification exam measures your ability to perform various tasks required for the successful functioning of different processes. The details of its topics are enumerated below:
Designing Highly Available, Reliable, and Scalable Cloud-Native Apps
- Design Secure Applications: This topic covers the details, which include security mechanisms securing and protecting services and resources as well as app manifests & binaries. It also involves the skills in implementing the appropriate prerequisites for applicable applications. You should know about rotating & storing application keys & secrets, validating processes of the Google service, service-to-service communications, and IAM roles for groups/service/user accounts. The subtopic also covers your knowledge of how to run the services that have the least privileged access, data retention prerequisites, and certificate-based validation.
- Application Modernization: It covers the learners’ skills in using managed services, designing horizontally state-less scalable services, refactoring the monolith to micro-services, and understanding the Google-recommended practices and documentation.
- Manage Application Data: The considerations for this subdomain include data volume, structured versus unstructured data, strong versus eventual consistency, and data access frequency within Cloud Storage.
- Design High Performing APIs and Applications: The considerations for this subject area include Microservices, scaling velocity tradeoffs/characteristics of IaaS vs. CaaS vs. PaaS, Geographic distribution of Google Cloud services, and user session management. It also covers the domains, such as caching solutions, securing & deploying API services, Google-recommended documentation & practices, and refined shutdown on the platform termination. The learners should also be able to explain the key structure of high-write apps with the use of Cloud Storage, Cloud SQL, Cloud Spanner, and Cloud Bigtable.
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.
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Security & Identity Fundamentals Kubernetes in the Google Cloud Google Cloud documentation Google Cloud solutions
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Employment and Salary Opportunities
After completing the Google Professional Cloud Developer certification exam, the candidates possess all the knowledge and skills necessary for building scalable and highly available applications with the help of Google-recommended practices and tools. The expertise that you gain while preparing for the qualifying test provides you with access to numerous in-demand and high-paying jobs. Some of the roles that you can apply for after getting certified include a Cloud Infrastructure Engineer, a Google Cloud Platform Cloud Engineer, a Senior Software Engineer, a Python Backend Developer, a Java Developer, a Cloud DevOps Engineer, a Cloud Technical Solutions Developer, and a Google Cloud Platform (GCP) Architect, among others. The average salary associated with these job titles ranges between $86,500 and $207,500 per year.
Google Professional-Cloud-Developer Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Ensuring application performance and reliability | - Monitoring and logging (Cloud Monitoring, Cloud Logging) - Performance optimization - Fault tolerance and incident response |
| Designing cloud-native applications | - Scalability and resiliency patterns - Microservices design principles - Application architecture design |
| Deploying applications | - Release management strategies - Containerization and deployment (Cloud Run, GKE) - CI/CD pipelines |
| Integrating Google Cloud services | - API integration and service-to-service communication - Using managed services (Pub/Sub, Firestore, Cloud SQL) |
| Building and testing applications | - Unit and integration testing strategies - Debugging and troubleshooting applications - Application development on Google Cloud |
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