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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.

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

Main Exam Details

Google Professional Cloud Developer exam lasts for 2 hours and costs $200. Usually, the questions in it come in form of multiple choice and multiple select items. The exam is available across the globe in Japanese and English languages and has two recognized delivery modes. Firstly, candidates can enroll in the online-proctored test and take it from any location. However, if you fancy the idea of sitting for the exam from a physical location, choosing the onsite proctored format makes more sense.

Usually, there are no prerequisites for the Google Professional Cloud Developer test. However, Google recommends that learners should have a minimum of 3 years of proven industry experience that includes one year of creating as well as managing solutions with GCP.

Building & Testing Apps

• Set up a Local Development Environment: This subsection measures your skills in creating different Google Cloud projects, using developing tools and command-line interfaces, Cloud Shell tools, and Google Cloud Console, as well as imitating Google Cloud services for the development of the local application.
• Testing: Here, an applicant needs to have the skills in unit testing, performance testing, integration testing, and load testing.
• Write Efficient Code: The potential candidates should understand algorithm design, software development methodologies, modern app patterns, and debugging & profiling code.
• Building: It covers the skills in managing source control, improving and reviewing continuous efficiency in the integration pipeline, as well as creating different secure container images through code.