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Google Professional Data Engineer (GCP)

Google Professional Data Engineer (GCP)

Free Practice Test
Not Available
  • No. of Questions14
  • AccessImmediate
  • Access DurationLife Long Access
  • Exam DeliveryOnline
  • Test ModesPractice
  • TypeExam Format
Not Available

Practice Exam
$15.99
  • No. of Questions496
  • AccessImmediate
  • Access DurationLife Long Access
  • Exam DeliveryOnline
  • Test ModesPractice, Exam
  • Last UpdatedOctober 2024
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Online Course
$12.99
  • DeliveryOnline
  • AccessImmediate
  • Access DurationLife Long Access
  • No. of Videos165
  • No. of hours22+ hrs
  • Content TypeVideo
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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

The Google Professional Data Engineer exam covers the the latest and updated exam topics - 

  • Domain 1 - Understanding Designing data processing systems (approx 22%)
  • Domain 2 - Understanding Ingesting and processing the data (approx 25%)
  • Domain 3 - Understanding Storing the data (approx 20%)
  • Domain 4 - Understanding - Preparing and using data for analysis (approx 15%)
  • Domain 5 - Understanding Maintaining and automating data workloads (approx 18%)


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 Status Live
Exam Language English, Japanese, Spanish and Portuguese
Prerequisite None

Google Professional Data Engineer (GCP) FAQs

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.
This exam will cost you $200 USD with additional taxes included.
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.

Prepare for the Google Cloud Platform Data Engineer exam with focus on - 

  • Proficiency in Python and SQL languages
  • Understanding of cloud platforms
  • Knowledge of Machine Learning (ML) concepts
  • Basic concepts of Java and Scala programming

Google Cloud Platform Data Engineer Online Tutorial

If you get certified then you will receive an email with attached Digital Certificate.
  • Google Cloud Certified Professional Data Engineer requires you to be proficient in data-driven decision making through collection transformation and visualization of the data.
  • Candidates are required to have hands-on experience in designing, building, maintaining, and troubleshooting the data processing systems while maintaining them as reliable, secure, scalable, fault-tolerance, robust, and efficient systems.


For more - Google Cloud Certified Professional Data Engineer Preparation Guide

The Google Cloud Certified Professional Data Engineer exam gives 2 hours to a candidate to complete the exam. Questions in the exam are presented as Multiple choice and multiple selections. The candidate has to score 70% in order to pass the exam. 

Google Cloud Certified Professional Data Engineer Exam Format

Develop skills to become a Professional Data Engineer exam with focus on -

  • Ability to design data processing systems
  • Build and operationalize data processing systems
  • Operationalize machine learning models
  • Ensure solution quality. 

Prepare with Google Professional Data Engineer Interview Questions

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.
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.

The topics which will be covered in the 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

Get all your doubts resolved with the Google Cloud Platform Data Engineer Exam FAQ.

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.
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.
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.
You need to get around 70% to pass the Google Cloud Professional Data Engineer exam.

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 to 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.

Google Certifications are valid for 2 years and after that you need to update your certification.
You will get 2 hours to complete the Google Cloud Professional data Engineer exam.

1. Google Professional Data Engineer exam test candidate’s ability to design, deploy, build and monitor the data process in the 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.

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.
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.
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. 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

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
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, you have access to the practice set questions which will be available once you have registered for the course.
Yes testprep training offers free practice tests for Google Professional Data Engineer which can be used before the final purchase for complete test.
Yes our experts frequently blog about the tips and tricks for exam preparation.
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, TestprepTraining gives you option to take free practice test with different and unique questions before purchasing the complete test.

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

 

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