Google Cloud is a certification program that offers Google Cloud partners, customers and users to demonstrate the technical skills in a particular technology or job role. The credential is designed to leverage Google Cloud technology in such a way as to transform businesses and significantly impact the customers and people they serve. Individuals are evaluated via a variety of strictly developed industry methods to determine whether they meet the Google Cloud ownership standards. This certification validates the candidates' knowledge and understanding of Google Cloud Platform, GCP Services (Storage, Networking, Security, App Engine, etc.), GCP Compute Service, GCP Management Tools, GCP Database & Storage Service. After earning of this Google certificate, a Google Cloud certified specialist will be able to develop and plan a cloud solution architecture, operate and deliver the cloud solution infrastructure, optimize and analyze technical and business processes, ensure the reliability of solutions and operations.

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Professional Cloud Architect Exam - Professional Cloud Architect on Google Cloud Platform

The Google Certified Professional - Cloud Architect exam contains multiple choice questions and lasts 2 hours. There are no prerequisites for this test.
The Google Certified Professional - Cloud Architect test determines the individuals' ability to show the critical skills for the job role. It confirms that the candidates are able to design, develop, and operate secure, highly available, robust, dynamic, and scalable solutions to drive business objectives.

Professional Data Engineer Exam - Professional Data Engineer on Google Cloud Platform

The Google Certified Professional - Data Engineer examination which lasts 2 hours consists of multiple choice and multiple select questions. The test has no prerequisites.
The Google Certified Professional - Data Engineer test validates an individual's ability to collect, transform, and visualize data. A Data Engineer are capable of designing, building, maintaining, and troubleshooting data systems with a definite emphasis on the efficiency, security, fault-tolerance, reliability, fidelity, scalability of these systems.