*This article includes the test-taking experience for the new at-home proctor mode. Except for the test-taking experience, the guide remains consistent for both the modes. You can still refer to this article in case you are reading this in the Post CoVid world ( oh how wonderful that must be!).

So you finally decide to do something with all the time you have! With more and more people taking the Google Certification exams, you can’t help but notice the hype and become a part of it. All you need now is a quick hack to get through the test. Well, I got you covered there!

This article is specifically targeted at people with little to no experience with GCP. Though that wasn’t the case with me since I have been working on GCP products for the past year, I shall do my best to make this guide as rudimentary as possible. (Scroll to the last section if you only want to read the experience)

The Whats and Whys of the Certification

For any exam you take, a fundamental understanding of the Certification and what it is for is essential to increase your chances of acing it. In Google’s own words, the Data Engineering Certification is to :

Demonstrate your proficiency to design and build data processing systems and create machine learning models on Google Cloud Platform.

The Certification is not a requirement. You don’t **‘have’ **to be a Professional Data Engineer to get a job nor is it a pre-requisite. But I would be lying if I told you that GCP Data Engineers aren’t recognized across the globe. You do get to be part of an extremely small inner circle (approximately 4k Data Engineers across the world).

#cloud #google-cloud-platform #guides-and-tutorials #data-science