A Data Engineer should also be able to leverage, deploy, and continuously train pre-existing machine learning models. 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 Professional Data Engineer enables data-driven decision making by collecting, transforming, and publishing data.
The Professional Data Engineer exam assesses your ability to:
- Build and operationalize data processing systems.
- Ensure solution quality.
- Operationalize machine learning models.
- Design data processing systems.
Who should take Google Professional Data Engineer Exam?
The Professional Data Engineer exam assesses your ability to design data processing systems, build and operationalize data processing systems, operationalize machine learning models, and ensure solution quality. Professional Data Engineer should also be able to leverage, deploy, and continuously train pre-existing machine learning models.
- Languages: English, Japanese.
- Registration fee: $200 (plus tax where applicable)
- Exam format: Multiple choice and multiple select taken remotely or in person at a test center. Locate a test center near you.
- Length: 2 hours
- Prerequisites: None
- Recommended experience: 3+ years of industry experience including 1+ years designing and managing solutions using GCP.
- Exam Delivery Method:
- Take the online-proctored exam from a remote location, review the online testing requirements.
- Take the onsite-proctored exam at a testing center, Locate a test center near you.
Google Professional Data Engineer (GCP) FAQs
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What is Google Cloud Professional Data Engineer Certification?
Google Cloud Professional Data Engineer exam uses decision making process for publishing and collecting data. Individuals applying for the exams are required to design, build and monitor the data processing systems. Data engineer should know how to deploy and train the pre-existing machine learning models.
Is Google Certification good?
1. Google Cloud certification will enhance your skills which will help you make a good place in the cloud industry. 2. There are various Google cloud certified communities which you will be given access to be part of it. 3. And also Google Cloud Merchandise gives rewards for every professional level certification earned by individuals.
For how long Google Certifications are valid?
Google Certifications are valid for 2 years and after that you need to update your certification.
How much does Google Cloud Professional Data Engineer exam cost?
This exam will cost you $200 USD with additional taxes included.
How do I prepare for the Google Cloud Professional Data Engineer exam?
1. Google Professional Data Engineer exam test candidate’s ability to design, deploy, build and monitors the data process in system and operationalizes machine learning models. 2. The best way to start preparing is to first get hands on experience in the Google cloud industry to test your skills and know your weakness. This will help you enhance your skills in using Google Cloud technology. 3. You should go for online courses to get sets of practice questions and get an exam guide from the official Google website to help you prepare better.
What is the role of Data Engineer?
Data Engineers role is to maintain and develop the architectures including large scale processing systems. They have advanced level knowledge in scripting language. They use coding to solve complex problems.
What is the recommend experience to get certified as Google Cloud Professional Data Engineer?
It is recommended to have 3 or more years of experience in Google cloud industry and you should have advanced knowledge in managing and developing solutions for Google Cloud Platform.