Google Cloud Professional Data Engineer: Practice Exam Test

TheProfessional Data Engineerenables 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.The Google Cloud Professional Data Engineer is for data scientists, solution architects, devops engineers and anyone wanting to move into machine learning and data engineering in the context of Google. you can prepare for the Professional Data Engineer certification exam.This exam provides you need to advance your career, and training to support your preparation for the industry-recognized Google Cloud Associate Cloud Engineer certification.The primary focus of this exam is to prepare you for the GCP Professional Data Engineer certification exam.

The Professional Data Engineer exam assesses your ability to:

1. Designing data processing systems.

2. Building and operationalizing data processing systems.

3. Operationalize of machine learning models.

4. Ensure solution quality.

I have prepared this practice test course for all those candidates who are planning of taking Google cloud professional data engineer exam in near future.

This is an Unofficial course and this course is not affiliated, licensed or trademarked with Google in any way.