What is the duration, language, and format of Google Professional Cloud Developer Exam
- Passing score: 80%
- Number of Questions: 50-60
- Recommended experience: 3+ years of industry experience including 1+ years designing and managing solutions using GCP.
- Language: English
- Length of Examination: 240 minutes
- Format: Multiple choices, multiple select
The Google Professional Cloud Developer certification is created to validate the candidates’ understanding of Cloud-native software design principles. It also measures the ability of the specialists to build, test and deploy applications with the help of best practices for scalability, reliability, and security. To earn this sought-after certificate, the applicants need to ace a single exam.
Studying with Online Courses
By rounding out your skills using the approved training courses, you will be confirming your ability to effectively tackle case-based scenarios. The three best options to choose are the following:
- Cloud Developer Fundamentals: Core Infrastructure
This course helps candidates master the basics of computing and storage services that exist in Google. These include Compute Engine, Google Kubernetes Engine, Cloud Storage, Cloud SQL, BigQuery, and App Engine. This training will also introduce the candidates to a ton of policy and resource management tools like Cloud Identity and Access Management and the Resource Manager Hierarchy. In essence, this program suits all individuals who are just getting started with Google Cloud or switching from a different public cloud provider to this one.
- Developing Applications with Google Cloud Platform
From the name, this course helps candidates obtain the skills they will need to successfully develop, design, and deploy apps that easily integrate with the essential components of the Google Cloud environment. For that reason, this training is best for developers tasked with redesigning the existing applications or building cloud-native apps that function on GCP. The course features cloud services and APIs to ensure candidates are competently trained in building secure, scalable, and reliable applications.
- Getting Started with Google Kubernetes Engine
This course is all about containerizing workloads within the Docker containers. It also focuses on the deployment of workloads to Kubernetes clusters that are supported by the Google Kubernetes Engine and scaling them to easily manage traffic. For more comprehensive coverage of these skills, you may want to check out the Architecting with Google Kubernetes Engine course.
Reference: https://cloud.google.com/certification/cloud-developer
Deploying Apps
- 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.
- 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.
- 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 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.
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