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Google Professional Data Engineer (GCP)

Google Professional Data Engineer (GCP)

Free Practice Test

FREE
  • TypeExam Format
  • No. of Questions61
  • AccessImmediate
  • Access DurationLife Long Access
  • Exam DeliveryOnline
  • Test ModesPractice

Practice Exam

$9.99
  • TypeExam Format
  • No. of Questions263
  • AccessImmediate
  • Access DurationLife Long Access
  • Exam DeliveryOnline
  • Test ModesPractice, Exam

Online Course

$14.99
  • Content TypeVideo
  • DeliveryOnline
  • AccessImmediate
  • Access DurationLife Long Access
  • No. of Videos22
  • No. of hours0min+

Google Professional Data Engineer Exam

Professional Data Engineer enables data-driven decision making by collecting, transforming, and publishing data. Candidate preparing for 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.


Who should take Google Professional Data Engineer Exam?

Professional Data Engineer should also be able to leverage, deploy, and continuously train pre-existing machine learning models. 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.


Course Structure

Google Professional Data Engineer exam covers the following topics - 

  • Designing data processing systems
  • Building and operationalizing data processing systems
  • Operationalizing machine learning models
  • Ensuring solution quality


Validate your skills of making data-driven decisions by collecting, visualizing, and transforming data with the Google Professional Data Engineer certification Now!

Exam Format and Information

Exam Name Google Professional Data Engineer
Exam Level Professional
Exam Duration 2 hour
Exam Format Multiple Choice and Multi-Response Questions
Exam Type Data Engineer
Number of Questions 15 Questions (Case Study)

Recommended Experience 3+ years of industry experience

including 1+ years designing and managing solutions using GCP.

Exam Fee $200 (Plus taxes as applicable)
Exam Language English, Japanese, Spanish and Portuguese
Prerequisite None

Google Professional Data Engineer (GCP) FAQs

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.
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.
If you get certified then you will receive an email with attached Digital Certificate.
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.
No, the exam is only available in English but the Chrome browser may have option to translate the exam in your native language. All the answers are to be given in English only otherwise the score will not be counted.
Google Certifications are valid for 2 years and after that you need to update your certification.
TestprepTraining provides unique sets of questions that will help you check your skills and knowledge on Google Cloud. These practice questions will help you increase your knowledge for better preparation of exam.
You will get 2 hours to complete the Google Cloud Professional data Engineer exam.
This exam will cost you $200 USD with additional taxes included.
If you are not able to pass Google Cloud certification exam then you have to wait for 14 days to take the exam again and if you failed twice then there is a gap of 60 days to retake exam.
You need to get around 70% to pass the Google Cloud Professional Data Engineer exam.
The topics which will be covered in Google Cloud Professional Data Engineer exam are: 1. Building and operationalizing data processing systems 2. Operationalizing machine learning models 3. Ensuring solution quality 4. Designing data processing systems
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.
In order to verify a certificate, you can use the validation number on the bottom right of their certificate that can be verified on the website. The certification can also be verified by clicking an individual’s shared digital badge, which includes a link to help verify certification status.
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.
Yes our experts frequently blog about the tips and tricks for exam preparation.
Yes testprep training offers free practice tests for Google Professional Data Engineer which can be used before the final purchase for complete test.
Yes, you have access to the practice set questions which will be available once you have registered for the course.
Once purchased, the practice exams can be access for lifetime.
Yes we offer nearly 50% discount for the order more than 10 products at a time. You can reach the testprep training Helpdesk for more details. The member of support staff will respond as soon as possible.
Yes, TestprepTraining gives you option to take free practice test with different and unique questions before purchasing the complete test.
No, There is no pre-requisite for the Google Cloud Certified Professional Data Engineer certification exam. You can directly appear for this Google Cloud certification exam.
Yes, we offer a 100% unconditional money back guarantee. In case you are not able to clear the exam for then you can request for the full refund. Please note that we only refund the cost of product purchased from Testprep Training and not the Google Professional Data Engineer Exam cost.
1. Designing data processing systems 2. Building and maintaining databases and data structures 3. Analyzing data and enabling machine learning 4. Design for reliability 5. Modelling business processes for optimization and analysis 6. Design for security and compliance 7. Visualizing data and advocating policy
1. Data Architects 2. Data Engineers 3. Data Analysts with existing knowledge of data management 4. Developers who are responsible for the management of big data transformation initiatives 5. Aspirants who want to become data engineers
Yes, Testprep Training offers email support for any certification related query while you are preparing for the exam using our practice exams. Your query will be handled by experts in due course.
1. Demonstrate your skills to design, develop, maintain, and troubleshoot data processing systems on GCP 2. Recognizes you as a Google Cloud Certified Professional Data Engineer globally 3. Validates your expertise and skills to work on Google Cloud Platform 4. Results in overall improved capabilities and performance as Data Engineer 5. Add a credential to your resume and help you stand out of the crowd 6. Bring more job opportunities and increase your chances to get a better job
Professional Data Engineer certification is intended for the professionals who have in-depth knowledge to handle data processing systems in Google Cloud environment. This certification helps professionals to demonstrate their expertise in designing, developing, maintaining, and troubleshooting data processing systems on Google Cloud Platform. A certified data engineer also has main emphasis on the reliability, scalability, security, fidelity, efficiency, and fault-tolerance of the systems.

 

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