GCP Data Engineer Certification Prep Part-1

This post explains step by step guide for preparing the Google Professional Data Engineer Certification.

A Professional Data Engineer enables data-driven decision making by collecting, transforming, and publishing data. A Data Engineer should be able to design, build, operationalize, secure, and monitor data processing systems with a particular emphasis on security and compliance; scalability and efficiency; reliability and fidelity; and flexibility and portability. A Data Engineer should also be able to leverage, deploy, and continuously train pre-existing machine learning models.

GCP Exam Certification Official Guide: https://cloud.google.com/certification/data-engineer

GCP official documentation: https://cloud.google.com/docs

Exam Overview

• Registration Fee: $200 + taxes
• Exam Format: Multiple choice/select
• Duration: 120 Minutes ( Enough time to cover all questions)

The Professional Data Engineer exam assesses your ability to:

• Designing data processing systems
• Building and operationalizing data processing systems
• Operationalizing machine learning models
• Ensuring solution quality

Before going forward with the GCP service, let’s go through the basics of different big data technologies.