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.
- 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.
- 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.
Reference: https://cloud.google.com/certification/cloud-developer
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Preparation Sources and Resources
The candidates can find everything they need to prepare for the Google Professional Cloud Developer certification exam on the official website. To help the learners build the required skillset for the qualifying test, Google has developed a variety of tools. The best way to start your preparation process is to review the topics in the study guide. This will provide you with an understanding of what you need to cover while preparing for the exam.
After that, you can proceed with the Cloud Developer learning path. This is an online self-study training tool that includes lectures, demos, and hands-on labs for a better understanding of the Google Cloud products and services. Besides that, the official platform offers sample questions that enable the learners to familiarize themselves with the format of exam questions and content that may be covered in the certification test. To enhance your understanding of the exam domains, refer to the additional resources such as Google Cloud documentation and Google Cloud solutions. The students can also sign up for a subject-related webinar to get valuable tips and insights from the industry experts.
Managing Application Performance Monitoring
- Manage Workloads for the Google Kubernetes Engine: The considerations for this topic include configuring monitoring & logging, viewing & analyzing logs, configuring workload auto-scaling, writing & exporting custom metrics, and analyzing the lifecycle events of a container.
- Manage Compute Engine Virtual Machines: It covers the applicants’ skills in analyzing & viewing logs; debugging custom VM images with serial ports, sending logs to Cloud Logging from VMs, and inspecting resource usage over time.
- Troubleshoot Application Performance: This one covers the skills of the test takers in using Cloud Debugger, creating and writing custom and log-based metrics, exporting the logs from GC, and using forums, Google Cloud support, and documentation, among others.
For more info visit:
Security & Identity Fundamentals Kubernetes in the Google Cloud Google Cloud documentation Google Cloud solutions
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Google Professional-Cloud-Developer Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Integrating applications with Google Cloud services | 21% | - Implementing application performance monitoring
|
| Designing highly scalable, secure, and reliable cloud-native applications | 32% | - Designing for observability and monitoring
|
| Configuring cloud-native applications for deployment | 24% | - Deploying applications to Google Kubernetes Engine
|
| Building and testing applications | 23% | - Testing applications
|
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