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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.
- 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.
- 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.
- 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 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.
Google Professional-Cloud-Developer Exam Overview:
| Certification Vendor: | Google Cloud |
|---|---|
| Exam Name: | Google Cloud Certified Professional Cloud Developer Exam |
| Exam Number: | Professional Cloud Developer |
| Exam Price: | $200 USD (may vary by region and taxes) |
| Certificate Validity Period: | 2 years |
| Exam Duration: | 120 minutes |
| Real Exam Qty: | Approximately 50–60 questions |
| Related Certifications: | Google Cloud Certified - Professional Cloud Architect Google Cloud Certified - Associate Cloud Engineer |
| Available Languages: | Japanese, English |
| Exam Format: | Multiple choice, Multiple select, Case study |
| Recommended Training: | Google Cloud Skills Boost - Professional Cloud Developer Official Google Cloud Certification Training Path |
| Exam Registration: | Official Google Cloud Certification Registration Kryterion Webassessor Portal |
| Sample Questions: | Google Professional-Cloud-Developer Sample Questions |
| Exam Way: | Online proctored exam (remote) or onsite test center via Kryterion Webassessor |
| Pre Condition: | No formal prerequisites required. Recommended: 3+ years industry experience including 1+ year designing and managing solutions on Google Cloud. |
| Official Syllabus URL: | 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.
Reference: https://cloud.google.com/certification/cloud-developer
Google Professional-Cloud-Developer Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Deploying applications | - Containerization and deployment (Cloud Run, GKE) - Release management strategies - CI/CD pipelines |
| Topic 2: Ensuring application performance and reliability | - Performance optimization - Fault tolerance and incident response - Monitoring and logging (Cloud Monitoring, Cloud Logging) |
| Topic 3: Integrating Google Cloud services | - API integration and service-to-service communication - Using managed services (Pub/Sub, Firestore, Cloud SQL) |
| Topic 4: Building and testing applications | - Unit and integration testing strategies - Application development on Google Cloud - Debugging and troubleshooting applications |
| Topic 5: Designing cloud-native applications | - Application architecture design - Scalability and resiliency patterns - Microservices design principles |
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