Employment and Salary Opportunities

After completing the Google Professional Cloud Developer certification exam, the candidates possess all the knowledge and skills necessary for building scalable and highly available applications with the help of Google-recommended practices and tools. The expertise that you gain while preparing for the qualifying test provides you with access to numerous in-demand and high-paying jobs. Some of the roles that you can apply for after getting certified include a Cloud Infrastructure Engineer, a Google Cloud Platform Cloud Engineer, a Senior Software Engineer, a Python Backend Developer, a Java Developer, a Cloud DevOps Engineer, a Cloud Technical Solutions Developer, and a Google Cloud Platform (GCP) Architect, among others. The average salary associated with these job titles ranges between $86,500 and $207,500 per year.

Reference: https://cloud.google.com/certification/cloud-developer

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How to study the Google Professional Cloud Developer Exam

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Exam Details and Topics

The qualifying test for the Google Professional Cloud Developer certification has the duration of two hours. The questions included in the exam are presented in two formats: multiple select and multiple choice. The applicants can sit for the test either in English or Japanese, and there are two options of the exam delivery: an online proctored test from a remote location or an onsite exam at a testing center. The potential learners can use the search on the official webpage to find the center that is located nearest to them. To register for and schedule the exam, you need to pay the fee of $200 plus applicable taxes.

Deploying Apps

• 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.
• 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.