Preparing for Google Certified Professional Data Engineer exam? This comprehensive Google Data Engineer certification preparation guide will help you prepare and pass the exam. Let’s get ahead step by step!
Google Cloud Certifications are one of the most sought-after IT certifications all over the world. It has become really important for any Data Engineer to get a Google Certification to progress in the IT industry. Recently, Spotify has been developing an event delivery system on Google Cloud Platform. The cloud landscape is becoming very competitive in terms of pricing as well for growth in the industry.
It is said that 90% of the data has been created in the last 2 years and the growth will continue for the next five years. So every other IT company is adopting Google Cloud and for a Data Engineer, it has become an important aspect as a number of jobs are coming into existence.
So if you are going for Google cloud certification for Data Engineer then you must follow the right track for Google Data Engineer certification preparation. Here, in this blog, you will get the complete guide on how you can pass the Google Cloud certified professional data engineer certification exam.
Why Become a Google Cloud Professional Data Engineer?
A Data Engineer is responsible for designing, maintaining, and troubleshooting data processing systems with a particular emphasis on security systems, fault tolerance, scalability, efficiency, fidelity, and reliability. A Data Engineer also analyzes the data to get business insights to gain outcomes and build statistical models to support decision-making and simple business processes. With the Google data engineer certification, you will be able to validate your skills in the above-described interests. So let’s start with the details of the exam.
Overview of the Google Data Engineer certification exam
The exam will be held in person at the locations already mentioned on the Google database. Before we proceed for the preparation guide for Google data engineer certification exam we must know what is the requirement for the particular exam.
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Google Cloud Certified Professional Data Engineer Certification Exam Information |
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Certification Name |
Google Cloud Certified Professional Data Engineer Exam |
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Prerequisites |
3+ years of industry experience including 1+ years designing and managing solutions using Google Cloud. |
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Exam Duration |
2 hours |
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Registration Fee |
USD $200 |
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Languages Available |
English, Japanese. |
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Validity |
2 years |
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Exam Format |
multiple choice and multiple select questions |
Are you a fresher in cloud computing aspired to build a career on Google Cloud Platform? Start with this quick introduction to Google Cloud Platform!
Who should apply for the Google Data Engineer certification exam?
Although this field is available for all the IT industry persons, the certification is mainly intended for, but not limited to the data architects, data engineers, developers who are responsible for the management of the big data transformation initiatives, and data analysts with the existing knowledge of data management can take this exam to validate their skills.
Google Cloud Certified Professional Data Engineer Exam Objectives
You should know what the objective of the exam is and what the areas to be focused are. It is important to understand exam blueprint, so you could focus on the exam objectives during your Google data engineer certification preparation. Here are the domains with respective subject areas that are covered in the exam:
- Designing data processing systems
- Ingesting and processing the data
- Storing the data
- Preparing and using data for analysis
- Maintaining and automating data workloads
Why Take Google Cloud Certified Data Engineer Certification?
Acquiring a Google Data Engineer certification is not a difficult process but has a meaningful impact on your career and job in the IT industry. It has been a good track record with value and benefits for employees and employers which includes:
- Enhanced knowledge and understanding of technology and the product
- You have an extra edge over other candidates
- It acts as proof of your continuous learning
- If you are familiar with the product then also you need a certificate to show in the job which is achieved by this exam
- The certification recognizes you as a Google-certified data engineer professional globally
- It increases your chances of getting better opportunities and higher salary
Now we have learned about the Google Data Engineer certificate program and its benefits, we will focus on the detailed guide for Google Data Engineer certification preparation.
Also Read: Preparation Guide for Google Cloud Certified Professional Cloud Architect
Comprehensive Guide for Google Data Engineer Certification Preparation
Any candidate needs to be prepared well before taking an exam. We will provide here all the necessities so that you may get prepared thoroughly before taking the exam.
Here are the preparation tips by which you will be helpful in your Google data engineer certification preparation. There are several training resources and a self-study guide, you can choose what you want to opt for your exam preparation.
So, read the below guide carefully to get a deep understanding of the steps to be followed for Google data engineer certification preparation.
1. Review the Exam Guide
The very first step to start your Google data engineer certification preparation is to go through the exam guide. Understand the topics mentioned in the exam blueprint. Google Cloud certification exams may include some questions based on the business and solution-based case study. So, it is recommended to go through the sample case studies that may come in your exam.
2. Join the GCP Training
You may join Google data engineer certification training, either instructor-led or on-demand training offered by Google Cloud as per your convenience. Qwiklabs are the hands-on labs provided by Google but you may also go with any other training provider who could provide you good training with hands-on labs.
a) Instructor-led Training
Google Cloud offers Instructor-led training courses to help you to understand the concepts of big data to work on the Google Cloud Platform. The learning track has been divided into 3 parts as per the specified roles.
Data Analyst Track
Step 1: From Data to Insights with Google Cloud Platform
Step 2: Building Conversational Experiences with Dialog flow
Data Engineering Track
Step 1: Google Cloud Platform Fundamentals: Big Data & Machine Learning
Step 2: Data Engineering on Google Cloud Platform
Step 3: Preparing for the Professional Data Engineer Examination
Data Scientists Track
Step 1: Google Cloud Platform Fundamentals: Big Data & Machine Learning
Step 2: Machine Learning with Tensorflow on Google Cloud Platform
b) On-Demand Training
The Google Cloud provides on-demand training with Data Engineering on Google Cloud Platform Specialization with Coursera. This training consists of 5 courses:
Course 1: Google Cloud Platform Big Data & Machine Learning Fundamentals
Course 2: Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform
Course 3: Serverless Data Analysis with Google Query and Cloud Dataflow
Course 4: Serverless Machine Learning with Tensorflow on Google Cloud Platform
Course 5: Building Resilient Streaming Systems on Google Cloud Platform
3. Hands-on Practice
Google’s Qwiklabs allows you to get your hands dirty with Google Cloud technologies. Learn as per your convenience with a series of on-demand labs. It is recommended to start with GCP Essentials and then you can move to the Data Engineering quest.
You can sign up for the free trial for GCP. It is a full 12 months trail which provides you $300 free credit and allows you to start working with any of the GCP products. The $300 credit provides the facilities to learn the platform at little or no cost. If you want to explore GCP products beyond $300 credit, then you should take a paid trial for more credits.
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4. Other Online Materials and References
You should spend time with the material related to the course of the exam as much as possible. You can take the formal classes on various sources but you have to spend time with the material of the syllabus.
a) Documentations
You can visit Google documentation page to give a new edge to your Google Data Engineer certification preparation. Tutorials are also provided by the Google Cloud Platform in the documentation. You will be provided with a step-by-step guide for solving the use cases in the Google Cloud Platform Environment.
b) Online Tutorials
It will happen that in several places you will find it difficult to understand the concept so practice the session more and focus on that part.
You can find two environments; one is provided by Google itself and other is provided by the GCP community. In the community, you can find the various sources which are not verified by Google but are provided by the users. So the community is also a good go for the tutorial.
The links to the tutorials are provided here:
- By Google: https://cloud.google.com/docs/tutorials
- By GCP: https://cloud.google.com/community/tutorials/
c) Blogs and Forums
You can also read some blogs on Google Cloud Platform to advance your knowledge and skills. Moreover, you can join discussion forums on Google Cloud Platform to connect with certified professionals and the experts. The experts will help you resolve your GCP queries, you’ve come across during your Google data engineer certification preparation.
5. Assess Your Preparation Level
When you are done with your Google data engineer certification preparation, it’s the time to assess your preparation level. Google Cloud offers data engineer practice test that will familiarize you with the type of questions that you may have in the real exam. So, you can register for the Google Data Engineer certification Practice Exam to check your current level of preparation.
You can also check the level of your Google data engineer exam preparation with Whizlabs Google Data Engineer Practice Tests. Access your Free Test now!
And what next? Just schedule your exam and get ready to certify!
Expert Tips to be Followed during Google Data Engineer Certification Preparation
The exam is such that you cannot study in one night. You have to devote your time to the preparation to understand the basic concepts of the syllabus. Followings are a few expert tips that you should follow during the preparation of Google Data Engineer certification exam.
- You have to understand the case studies provided by Google.
- Review the exam guide on the official certification page to understand how the exam will be conducted and types of questions in the exam.
- GCP exams are conducted to determine whether the candidate is passing the minimum standard or not. The exams are not judged on the basis of ability but are judged on the experience.
- Google cloud exams can be taken at various centers across the world. You just have to register yourself through the online registration process and then you can proceed to take the exam.
- You can also try Google Data Engineer certification practice test offered by Google itself to check your preparation level before taking the real exam.
Followings are the points that you should remember while going to take the Google data engineer certification exam:
- You should arrive before the arrival time at the exam center with a valid identity proof (a voter ID card which differs depending upon the location and country).
- You can just contact the customer care of the testing center to take information about the perquisites of the exam or check the official certification page.
- You will be given a locker where you can keep your belongings at the test center.
Google Cloud is coming up with the latest trends every year. Let’s have a look at the most recent Google Cloud Trends.
Average Salary of Google Data Engineer
The salary of a Google Cloud-certified data engineer is simply more than a non-certified cloud data engineer. As per the Glassdoor salary survey, the average salary of a Google data engineer may vary from $113,992 to $147,493 per year.
As per the recent report by paysa.com, the average salary of a Google Data Engineer is $152,291 that falls in the range from $112,280 to $181,808 per annum.
FAQs
When you are going across the Google Data Engineer certification preparation, it is recommended that you should go through the FAQs so that you could clear your doubts and get the answer to common questions that may come into your mind. So let’s read these questions:
#1 Why should I get the certification of Google Cloud?
As we know Google is the highest ranking company in the world in the IT industry. Google Cloud Platform (GCP) is one of the top three cloud players. It also provides an extra edge over other candidates in professional development. The skill set is gauged against the peers and hiring managers.
#2 I am not able to receive the score or any feedback regarding the exam.
Yes, the exams are not designed in such a way to be spread out on the scale of ability. The numbers are not meant to judge the examinee. The system will proceed further only if you have passed the exam.
#3 What is the age requirement to take the certification?
A person who resides in the EU and is older than 16 years old can take the Google certification. While in other countries over the world, a person must be 13 years or older to take the test.
#4 How could the Data Engineer Certification be maintained?
The certification is valid for two years only from the date certified unless specifically written in the certificate. If one wants to maintain the certification, the candidate needs to re-certify for the exam as Google continuously upgrades their skill gaps. The training and self-study courses are imperative for skill maintenance.
#5 What are the steps after I acquire the GCP Engineering Certification?
When you have completed the certification now is the time to spread your wings and take another step. When you want to jump into another certification just take another step at the official certifications page and see the available list of courses as gaining of knowledge is a never-ending process.
Also Read: Introduction to Google Cloud Certifications
Summing Up
When you have done the Google Data Engineer certification preparation switch to the exam to test your skills. With the above-provided details and tips, it must be easier for you to prepare for the Google Data Engineer certification exam. In case you think that you’ve completed your preparation for the Google data engineer certification exam, we’ll recommend you to try Google Data Engineer practice tests to check your preparation level.
Whizlabs practice test series has been created by subject matter experts and certified professionals that will make you confident enough to pass the exam. So, join us now and lay the foundation of the certified future.
Good Luck!
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