Google Cloud Data Engineer Professional (Professional Data Engineer) Exam

Professional Data Engineer Exam Info

Practice with Professional Data Engineer Exam Questions & Answers. by Allbraindumps.com
  • Exam Code: Professional Data Engineer
  • Exam Title: Google Cloud Data Engineer Professional
  • Vendor: Google
  • Exam Questions: 371
  • Last Updated: 18-Dec-2024

Professional Data Engineer Exam Preparation Guide

If you're looking to become a certified Professional Data Engineer, then you've come to the right place. In this guide, we will provide you with everything you need to know to prepare for the exam and pass it with flying colors. So, let's get started!

Exam Topics:

The Professional Data Engineer exam covers a range of topics related to data engineering. These include:

  • Designing data processing systems
  • Building and operationalizing data processing systems
  • Operationalizing machine learning models
  • Ensuring reliability of data processing systems
  • Implementing security controls for data processing systems

Exam Details:

The Professional Data Engineer exam is a computer-based test that consists of multiple-choice and multiple-select questions. The exam costs $200 USD and must be completed within 2 hours. The passing score for the exam is 70%. The exam can be taken in person at an authorized test center or online from the comfort of your own home or office.

Exam Format:

The exam consists of two sections:

  1. A section with multiple-choice questions
  2. A section with multiple-select questions

Delivery Method:

The exam can be taken in person at an authorized test center or online from the comfort of your own home or office.

Difficulty Level:

The Professional Data Engineer exam is considered to be a difficult exam. It is designed to test your knowledge and skills in data engineering, and it requires a lot of preparation and study to pass.

Prerequisites of the Professional Data Engineer:

Before taking the Professional Data Engineer exam, you should have experience working with data engineering technologies and tools, including:

  • Google Cloud Platform (GCP)
  • Apache Hadoop
  • Apache Spark
  • Apache Beam
  • BigQuery

Benefits of the Professional Data Engineer Certification:

There are many benefits to becoming a certified Professional Data Engineer, including:

  • Recognition for your expertise in data engineering
  • Increased job opportunities and higher salaries
  • Access to exclusive resources and networking opportunities
  • Improved credibility with clients and employers
  • Opportunities to work on exciting data engineering projects

Conclusion:

Preparing for the Professional Data Engineer exam can be challenging, but with the right resources and dedication, you can pass the exam and become a certified Professional Data Engineer. We hope that this guide has provided you with the information you need to get started on your journey. Good luck!

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