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Section 3: Deploying Apps
This topic evaluates the ability of the students to recommend the relevant deployment strategies with the help of the appropriate tools, such as Spinnaker, Cloud Build, Anthos Configuration Manager, and Tekton, for a certain compute environment (for instance, Google Kubernetes Engine, Compute Engine, etc.). The individuals should also possess the skills in deploying apps & services on Compute Engine; deploying apps & services to Google Kubernetes Engine (GKE); deploying Cloud Function. Lastly, they must have the proficiency in utilizing service accounts.
Incorporating Google Cloud Services
- Integrate Applications with Compute Services: This part contains the measurement of the skills in implementing the service discovery in Compute Engine and GKE, authenticating utilizing Identity-Aware Proxy & OAuth2.0 Web Flow, and authenticating with Workload Identity to Cloud APIs.
- Incorporate Applications with Data & Storage Services: The considerations for this subsection include connecting to data stores, write/read data from/to different databases and write applications that consume/publish data asynchronously.
- Integrate Cloud APIs with Apps: This domain comes with caching results, restricting return data, batching requests, paginating results, and error handling.
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Google Professional Cloud Developer Certified Professional salary
The average salary of a Google Professional Cloud Developer Certified Expert in
- Europe - 145,347 EURO
- United State - 181,247 USD
- India - 27,42,327 INR
- England - 135,632 POUND
Reference: https://cloud.google.com/certification/cloud-developer
Aside from the mentioned training options, Google also provides a series of programs that will allow you to demonstrate competence in the following areas:
- Building and Managing APIs with Apigee
- Serverless Cloud Run Development
- Deploying to Kubernetes in Google Cloud
- Serverless Firebase Development
Through all the above-mentioned courses, exam-takers will obtain fundamental information relating to Cloud Shell, Cloud IAM, Container Registry, Spring Boot, App Engine, Firebase SDK, and many other tools and products. It should be mentioned that these courses have a total of 64 labs that will be helpful in validating your skills to manage the Google cloud environment in real-world scenarios.
Google Professional-Cloud-Developer Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Designing highly scalable, secure, and reliable cloud-native applications | 32% | - Designing high-performing applications and APIs
|
| Topic 2: Configuring cloud-native applications for deployment | 24% | - Deploying applications to Google Kubernetes Engine
|
| Topic 3: Integrating applications with Google Cloud services | 21% | - Integrating with data and storage services
|
| Topic 4: Building and testing applications | 23% | - Building applications and containers
|
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