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Section 4: Integrating Google Cloud Services
The aim of this domain is to evaluate the learners based on their capacity to integrate an app with storage & data services, integrate an app with compute services, as well as integrate Cloud APIs with apps.
Reference: https://cloud.google.com/certification/cloud-developer
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Aside from the mentioned training options, Google also provides a series of programs that will allow you to demonstrate competence in the following areas:
- Serverless Firebase Development
- Serverless Cloud Run Development
- Building and Managing APIs with Apigee
- Deploying to Kubernetes in Google Cloud
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.
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Section 2: Building & Testing Apps
To answer the questions related to this section, the test takers should be capable of setting up their local development environment as well as writing efficient code. It also measures the ability of the candidates to perform testing, including unit testing, integration testing, performance testing, and load testing. They should also demonstrate that they know how to perform building. This involves executing source control management; creating secure container images from code; developing a continuous integration pipeline with the help of services that construct deployment artifacts; reviewing & improving continuous integration pipeline effectiveness.
Google Professional-Cloud-Developer Exam Syllabus Topics:
| Section | Weight | Objectives |
| Topic 1: Configuring cloud-native applications for deployment | 24% | - Deploying applications to Cloud Run
- 1. Configuring scaling, networking, and security
- 2. Deploying from source code or containers
- 3. Integrating with event-driven services
- Deploying to App Engine or Cloud Functions
- 1. Configuring serverless deployments
- 2. Managing versions and traffic splitting
- Deploying applications to Google Kubernetes Engine
- 1. Managing configurations and secrets
- 2. Creating and managing workloads and services
- 3. Configuring scaling, auto-scaling, and updates
|
| Topic 2: Integrating applications with Google Cloud services | 21% | - Consuming Google Cloud APIs and services
- 1. Using client libraries, REST, and gRPC
- 2. Integrating with AI/ML and generative AI services
- 3. Enabling and managing APIs
- Integrating with data and storage services
- 1. Using object storage and file storage solutions
- 2. Implementing messaging and event streaming
- 3. Working with relational, NoSQL, and in-memory databases
- Implementing application performance monitoring
- 1. Instrumenting code for metrics and traces
- 2. Using operations suite tools
|
| Topic 3: Building and testing applications | 23% | - Testing applications
- 1. Using AI-assisted development tools
- 2. Writing unit, integration, and end-to-end tests
- 3. Automating testing in CI/CD workflows
- Building applications and containers
- 1. Using Cloud Build and Artifact Registry
- 2. Implementing containerization best practices
- 3. Configuring build pipelines and provenance
- Setting up development environments
- 1. Using Cloud SDK, Cloud Code, Cloud Shell, and Cloud Workstations
- 2. Emulating Google Cloud services locally
|
| Topic 4: Designing highly scalable, secure, and reliable cloud-native applications | 32% | - Designing for observability and monitoring
- 1. Designing for debugging and troubleshooting
- 2. Planning logging, metrics, and tracing strategies
- Designing high-performing applications and APIs
- 1. Selecting appropriate compute and deployment platforms
- 2. Optimizing for latency and throughput
- 3. Designing for high availability and fault tolerance
- Designing secure applications
- 1. Securing data in transit and at rest
- 2. Applying security best practices and compliance requirements
- 3. Implementing authentication and authorization mechanisms
|