Google is known to offer several professional certifications to evaluate the skill and expertise of tech professionals. The Google Cloud’s Professional Data Engineer Certification is one such certification in data engineering and data science.
This exam assesses whether individuals can perform various data-related tasks using Google's tools and utilities, including analysis, reporting, and processing. By obtaining the certification through an exam, you can open up many opportunities for yourself at top companies in data engineering and data science. This Google Cloud certification also allows companies using the Google Cloud to hire talented and skillful data engineers.
In this post, we’ll tell you what Google Cloud's Professional Data Engineer Certification is all about. We’ll also discuss tips you can adopt to ace the exam.
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Let’s go ahead and look at what Google Cloud's Professional Data Engineer Certification is all about and what it takes to ace the exam.
Here’s what we’ll cover in this post:
- What Is Google Cloud's Professional Data Engineer Certification?
- Who Should Take the Google Certified Professional Data Engineer Exam?
- Important Topics to Prepare for the Google Certified Data Engineer Exam
- Tips to Crack the Google Cloud's Professional Data Engineer Certification Exam
- FAQs on Google Cloud's Professional Data Engineer Certification
Let’s go ahead and look at what the Google-certified professional data engineer exam is all about and how to ace the exam to obtain your certification.
What Is Google Cloud's Professional Data Engineer Certification?
The Google Cloud Certification is an advanced IT certification for professional data engineers, data analysts, and data scientists. This certification aims to evaluate your data processing and analytical skills while enabling companies to make competitive hires.
With an increasing number of companies moving their services to the cloud, the Google Cloud's Professional Data Engineer Certification is helping companies and tech professionals alike. This data engineer certification is an essential step to showing your mastery over Google’s data tools, applications, and utilities.
If you achieve this Google Cloud certification, you essentially demonstrate the ability to perform the following tasks:
- Design and maintain cloud-based databases
- Design ML algorithms for predictive analytics
- Perform big-data processing using select tools
- Perform data visualization
- Manage network and security elements on the cloud
The above aspects are within the purview of the responsibilities of a data engineer. Check out our post on the roles and responsibilities of a Google data engineer to learn more about what data engineers do.
Important Details of the Google Cloud's Professional Data Engineer Certification
You must pass the time-bound exam to achieve Google Cloud's Professional Data Engineer Certification. The exam can be taken remotely with an online proctoring facility. You can also appear for it at designated test centers across the world.
- Exam Fee - A one-time fee of $200
- Exam Languages - English and Japanese
- Duration: 2 Hours
- Number of questions: 50
- Format: Multiple choice questions
Want to know how much a Google data engineer earns annually? Check out our Google data engineer salaries article to learn about the compensation and benefits.
Who Should Take the Google Certified Professional Data Engineer Exam?
The Google Cloud's Professional Data Engineer Certification is fundamentally built to evaluate an individual’s knowledge of Google’s cloud and data utilities/applications. As such, Google doesn’t require you to have any prior experience in the field. So even if you are a fresher, you can take the Google-certified professional data engineer exam.
The Google Cloud's Professional Data Engineer Certification exam is best suited for:
- Cloud Administrators
- Network Administrators
- Data Analysts
- Data Engineers
- Data Scientists
- Cloud Architects
If you are pursuing a career in any of these domains, the Google-certified data engineer exam will help you advance your professional career as a data engineer.
Recommended reading: Your ultimate guide to the Google data engineer interview process.
Important Topics to Prepare for the Google Certified Data Engineer Exam
Covering the important topics from an exam perspective is key to success. Below are the essential topics to prepare for the Google-certified data engineer exam:
- Designing data processing systems
- Building and operationalizing data processing systems
- Operationalizing ML and predictive data models
- Ensuring solution quality and following best practices
Questions asked in the exam are typically around the topics mentioned above. The exams aim to assess if you can manage, plan, and operationalize tools and utilities to perform data processing and analysis on the Google Cloud. To pass the exam, you must secure at least 70% of the marks.
You can also check some important Google Cloud interview questions for your practice.
Tips to Crack the Google Cloud’s Professional Data Engineer Certification Exam
Preparing for Google Cloud’s Professional Data Engineering Certification requires a good strategy that covers all the essential technical areas. Preparing topics from the exam perspective and ignoring what’s not important is key.
Let’s look at some proven tips and strategies that you can use to ace to become a Google-certified professional data engineer.
Refer to the Official Study Guide
Going through the official study guide for the Google Cloud Certification for professional data engineers should be the first step in your prep. This way, you’ll know exactly what type of questions appear in the exam and what areas you should focus on while preparing. You can also look at these top data engineer interview questions for practice.
Take Mock Tests
Before appearing for the main exam, it is highly recommended that you take up a few mock tests to understand what to expect. Mock tests are a great way to expose yourself to a wide variety of questions.
Study GCP’s Best Practices
Another essential step in your prep should be thoroughly going through Google Cloud Platform’s best practices. It would help if you went through the best practices in the following categories:
- Windowing in Apache Beam
Working at Google is every software engineer’s dream. But have you ever wondered how hard it is to get a job at Google? Getting hired for the Google Cloud Platform (GCP) role is no cakewalk.
Adopting a solid prep strategy is key if you want to land a data engineering job at Google. Check out our post on how to prepare for your Google data engineer interview to understand how to go about your prep for data engineering interviews.
FAQs on Google Cloud's Professional Data Engineer Certification
Q1. What is the average data engineer salary in the US?
The average data engineer salary in the United States is $169,275 per year.
Q2. What is the average salary of Google Cloud-certified professional data engineers in the US?
The average Google Cloud data engineer salary in the United States is $182,091 per year.
Q3. Will Google Cloud’s Professional Data Engineer Certification help you land data engineering and data science jobs?
Yes, designed to evaluate data science and engineering professionals, the Google Cloud’s Professional Data Engineer Certification will help you land jobs at top tech companies using Google Cloud.
Q4. Who is the Google-certified professional data engineer exam best suited for?
The Google-certified professional data engineer exam is best suited for cloud architects, cloud administrators, data analysts, data engineers, data scientists, and data engineers.
Q5. What are the important topics to prepare for the Google Cloud’s Professional Data Engineer Certification exam?
The important areas to prepare for the Google Cloud’s Professional Data Engineer Certification exam includes - designing big-data processing systems, building and operationalizing data processing systems, operationalizing ML models, and ensuring solution quality.
How to Crack a Data Engineer Interview
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