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Target Audience and Prerequisites
The Google Professional Cloud Developer certification exam is intended for those App Developers who are involved in designing and building applications to run on Google Cloud Platform. These specialists should be familiar with the Google Cloud Platform products, such as Cloud Storage, Compute Engine, Security Key Enforcement, as well as BigQuery.
There are no obligatory requirements that the candidates need to meet to become eligible for the qualifying test. Nevertheless, the target individuals are recommended to have three or more years of industry experience, including one or more years of experience in designing and managing solutions using Google Cloud. Besides that, the students need to develop a comprehensive understanding of the exam topics.
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.
Reference: https://cloud.google.com/certification/cloud-developer
Exam Overview
The Professional Cloud Developer certification exam is a 2-hour test covering the multiple-choice and multiple-select questions. It can be taken in English or Japanese and is available as an online proctored and an on-site proctored exam. The registration process costs $200, and this is for the delivery of a single test. The candidates who do not pass the exam must retake it to obtain the associated certificate. To do this, they must pay a new exam fee for their retake.
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Google Professional-Cloud-Developer Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Integrating applications with Google Cloud services | 21% | - Consuming Google Cloud APIs and services
|
| Configuring cloud-native applications for deployment | 24% | - Deploying applications to Cloud Run
|
| Building and testing applications | 23% | - Building applications and containers
|
| Designing highly scalable, secure, and reliable cloud-native applications | 32% | - Designing for observability and monitoring
|







