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Writer's pictureImran Ghani

All about Professional Data Engineer Certification

Updated: Nov 17, 2020



What a professional data engineer does is make different types of data-driven decisions. This is done in different steps which includes collecting, transforming, and then publishing data. A data engineer should also be able to perform different functions. It includes designing, building, securing, operationalizing, and monitoring data processing systems. With that, there is also a particular emphasis on security and compliance, scalability and efficiency, reliability and fidelity, and lastly, flexibility and portability. Similarly, a data engineer must also be able to leverage, deploy, and continuously train pre-existing machine learning models. Thus, a data engineer must have a good knowhow of all the machine learning models, how it function, and then its fundamentals.



What does the professional data engineer exam asses?


The professional data engineer exam assess your different abilities which includes.

· A good understanding of how to design data processing systems.

· Then how to build and operationalize data processing systems.

· Similarly, how to operationalize machine learning models.

· And then finally ensuring solution quality.


Formal of the professional data engineer certification:


The professional data engineer certification exam has the following format.

· The total time given to complete the exam will be of 2 hours.

· The registration fee is $200. Tax will also be added where applicable.

· The exam is available in two languages, English and Japanese.

· The exam would contain multiple choice questions.

The exam delivery method:


Due to the current Covid-19 situation, the exam delivery will be of two methods.

· You can take the online-proctored exam from a remote location following different instructions. To know the requirements, click here.

· If not that, you can take the onsite-proctored exam at a testing center the details of which can be found here.

Any prerequisites to appear in the exam?


No, there aren’t any prerequisites to appear in the exam. But a 3+ years of industry experience is recommended which include 1+ years of designing and managing solutions using GCP. For Tableau Certification Preparation training , Practicing Questions along with tableau training solution videos will really help you strengthen your concepts and will make you ready for real exam.


How to prepare for the professional data engineer

certification exam?


Like any other certification exams, there are many ways that can help you prepare for this one too.


You can review the exam guide:


This has to be your first step when preparing for the exam. An exam guide encloses in it a complete information about all the topics that make up for the exam. So, if you intend to appear in this exam, don’t forget to consult the exam guide.


Get training from a well-renowned institute.


Online or in-person training is also another way of preparing for the exam. It enables you to get a grip of all the concepts that are going to be in the exam.


Join different prep webinar:


Different Googlers and recently-certified experts always have a variety of tips and insights to share with learners. So, if you join their webinar, you can get to know different tips and insights on data processing systems, machine learning models, solution quality, and others.


Sample questions:


Sample questions are also a meticulous way to prepare for the exam. They not only tell you the exam format but also enable you to practice all types of Tableau Certification Questions the right way.


Conclusion:


So, if you think you have the ability to get a professional data engineering certification that can help you advance your career, then start your preparation today and get in the race to become the best data engineer and never stop learning. As career the path of data analytics have to deal with data, the most important skills you will be needing to thrive in a data analytics career are SQL, Microsoft Excel, critical thinking, and basic programming.

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