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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.
- Integrate Cloud APIs with Apps: This domain comes with caching results, restricting return data, batching requests, paginating results, and error handling.
- 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.
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.
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Google Professional-Cloud-Developer Exam Syllabus Topics:
| Section | Weight | Objectives |
| Topic 1: Configuring cloud-native applications for deployment | 24% | - Deploying applications to Google Kubernetes Engine
- 1. Managing configurations and secrets
- 2. Configuring scaling, auto-scaling, and updates
- 3. Creating and managing workloads and services
- Deploying applications to Cloud Run
- 1. Integrating with event-driven services
- 2. Configuring scaling, networking, and security
- 3. Deploying from source code or containers
- Deploying to App Engine or Cloud Functions
- 1. Managing versions and traffic splitting
- 2. Configuring serverless deployments
|
| Topic 2: Building and testing applications | 23% | - Testing applications
- 1. Using AI-assisted development tools
- 2. Automating testing in CI/CD workflows
- 3. Writing unit, integration, and end-to-end tests
- Setting up development environments
- 1. Emulating Google Cloud services locally
- 2. Using Cloud SDK, Cloud Code, Cloud Shell, and Cloud Workstations
- Building applications and containers
- 1. Configuring build pipelines and provenance
- 2. Using Cloud Build and Artifact Registry
- 3. Implementing containerization best practices
|
| Topic 3: Designing highly scalable, secure, and reliable cloud-native applications | 32% | - Designing secure applications
- 1. Implementing authentication and authorization mechanisms
- 2. Securing data in transit and at rest
- 3. Applying security best practices and compliance requirements
- 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 for observability and monitoring
- 1. Planning logging, metrics, and tracing strategies
- 2. Designing for debugging and troubleshooting
|
| Topic 4: Integrating applications with Google Cloud services | 21% | - Integrating with data and storage services
- 1. Working with relational, NoSQL, and in-memory databases
- 2. Implementing messaging and event streaming
- 3. Using object storage and file storage solutions
- Implementing application performance monitoring
- 1. Using operations suite tools
- 2. Instrumenting code for metrics and traces
- Consuming Google Cloud APIs and services
- 1. Enabling and managing APIs
- 2. Using client libraries, REST, and gRPC
- 3. Integrating with AI/ML and generative AI services
|