Google Cloud Certified Professional Data Engineer training course consists of an online course and practice tests. We offer 150+ unique practice questions and 7+ hours of training videos, covering all exam objectives. Apart from this, you can also try Free Test with 20 practice questions. 

No, there is no prerequisite for the GCP Data Engineer exam. But it is recommended to have at least 3 years of industry experience including 1+ years of experience in designing and managing solutions using Google Cloud Platform. 

The domains covered in the Google Cloud Professional Data Engineer certification exam are:

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

Google Cloud Certified Professional Data Engineer exam is designed to test the technical skills related to the job role. Hands-on experience is highly recommended for the exam. Here is the list of important topics to focus on while preparing for the GCP Professional Data Engineer certification exam:

• Identity and Access Management (IAM) Roles
• BigQuery and BigTable
• DataFlow, DataProc, Data Store, and Pub/Sub
• Cloud Spanner
• Google Machine Learning terms glossary
• Google Cloud Machine Learning Engineer
• Google Cloud TPUs
• Google Glossary of ML Terms

Although Google Cloud Professional Data Engineer certification exam tests the technical skills of the candidate on Google Cloud Platform, it does not contain performance-based labs. Professional Data Engineers are capable of working on Google Cloud Console and the command-line interface to perform various tasks to design, monitor, and secure data processing systems on the Google Cloud Platform. So, the exam consists of multiple choice and multiple response questions to test the capability of candidates to perform various hands-on tasks. 

If you want to pass the Google Cloud Certified Professional Data Engineer exam in the first attempt, you should follow the right path for your preparation. Steps you need to follow while preparing for GCP Data Engineer Certification exam are:

• Visit the official exam page
• Review the exam guide 
• Take up the Google Cloud Professional Data Engineer online course
• Study Google Cloud Platform Documentation
• Refer to other resources like whitepapers and ebooks.
• Participate in Discussion Forums and Study Groups.

Take up Google Cloud Professional Data Engineer free test and Google Cloud Professional Data Engineer practice tests to examine your preparation level. 

The registration cost for the Google Cloud Professional Data Engineer certification exam is $200 (plus tax where applicable).

No. You may sometimes find a few unscored questions in the exam. As a standard practice in the testing industry, these are newly created questions put for evaluating their effectiveness 

You will find 50 multiple-choice and multiple-response questions in the Google Cloud Data Engineer Certification exam. You will get 120 minutes (2 hours) to complete the exam.

At Whizlabs, we are committed to building high-quality training courses and practice tests for the Google Cloud Professional Data Engineer certification exam.

While a training course helps you learn various concepts and get ready for the exam, practice tests check your preparation level. Thus, you get to know about your weak areas and can work on them to improve. 

If you come across any doubts while taking the Google Data Engineer certification practice test and online course, our experts help you to clear them and thus you become more confident to pass the real exam. So, we highly recommend you to go through our Google Cloud Certified Data Engineer practice exam before sitting in the actual exam.

Yes. We are offering Google Cloud Professional Data Engineer Free Test with 20 unique questions for the free evolution of our tool. You can try it before you purchase our complete test. Also, you will find the 15% discount coupon inside the free test that you can apply on the purchase of practice tests.

You can expect the following types of questions in the Google Cloud Certified Professional Data Engineer exam, these are:

• Multiple-choice questions
• Multiple-response questions

Yes, our practice tests consist of different types of questions as per the real exam format. As the Google Cloud Certified Professional Data Engineer exam may contain case studies with multiple questions, we also provide case study type questions in our practice tests. 

Google Cloud certifications provide a mean to Google cloud users to demonstrate their skills in a particular technology or job role. Google Cloud certifications are designed to test and validate the technical skills of the candidates according to the job role. So, you can choose a Google Cloud Certification as per your job role, skills, knowledge, and experience.

For example, Google Cloud Certified Associate Cloud Engineer exam is intended for the Google Cloud Engineers who can deploy applications, monitor operations, and manage enterprise solutions. So, if you are a Google Cloud engineer, you can go for the Google Cloud Associate Cloud Engineer certification.

Here's the list of Google Cloud Certification Training Courses.

Google Cloud certification comes with the validity of two years from the date certified. You need to recertify to maintain your certificate number and certification status.  

As a complete preparation package, we offer an online training course and practice tests for the Google Cloud certification exam. To pass the exams, all you need is to:

• Go through exam content to prepare well
• Give practice tests to check your preparation level
• The assistance of the subject matter experts to clarify your technical as well as non-technical doubts

This is all we provide in our training course for the Google Cloud certification exam. We include the links for whitepapers, documentation, and lab in our training videos and question explanations, and we highly recommend you to go through those links and dive deep to understand the concepts and prepare in a better manner.

Yes. Google revises the exam syllabus based on the current trends, to meet the industry standards. We have SMEs who monitor the changes into the exam syllabus and update the questions to ensure that we provide up to date preparation material to our students.

A Professional Data Engineer is responsible for designing, developing, and managing solutions on Google Cloud Platform. A Google Cloud Professional Data Engineer is expertise in designing, developing, monitoring, and securing data processing systems on the GCP platform.

Following are the roles and responsibilities of a Professional Data Engineer on the Google Cloud Platform:

• Adapting existing methods and procedures to create possible alternative solutions to moderately complex problems
• Understanding the strategic direction created by senior management to achieve the team goals
• Determining solutions and providing guidance on complex problems
• Interaction with peers, management, and clients for better implementation of data processing systems.
• Designing and developing data pipeline in GCP; creating new Data APIs for downstream consumption
• Preparing various data sets for the big query for advanced analytics and for the marketing campaigns

Big Query is the serverless, cost-effective, and highly scalable cloud data warehouse that is designed to enable users to make informed decisions quickly and transform the business data with ease. The significance of using Big Query in GCP are:

• To run analytics at scale efficiently than cloud data warehouse alternatives 
• To analyze gigabytes to petabytes of data quickly using ANSI SQL at the fastest speeds 
• To democratize insights seamlessly with a trusted and more secure platform to scale your needs 

BigTable is a high performance, compressed, proprietary data storage system that is built on the Google File System, SSTable, Chubby Lock Service, and some other Google technologies. It also underlines the Google Cloud Datastore that is available as a part of the GCP platform. The significance of BigTable on the Google Cloud Platform are:

• Incredible scalability
• Cluster resizing without downtime
• Simple administration

Yes, even if you are a non-technical person, you can become a Google Cloud Professional Data Engineer. The recommended requirement to take up the Google Data Engineer certification exam is to have significant knowledge of cloud services and Google Cloud Platform with considerable experience. It is good if the candidate has a minimum of 12 months of hands-on experience with Google Cloud Platform. But, even if you are a fresher or have a non-technical background, you can take some training to get familiar with Google Cloud Platform. 

Also, you can get hands-on with the Google Cloud Platform by using Google Cloud free tier account. After gaining some experience of working with the GCP platform, you can validate your skills with the GCP Data Engineer certification exam to become a Google Cloud Professional Data Engineer.

Yes, you will receive the Google Cloud Professional Data Engineer certificate on passing the GCP Data Engineer certification exam. To become a Google Cloud Certified Professional Data Engineer, you only need to pass this exam and on passing it, you will receive the title of Google Cloud Certified Professional Data Engineer.

The skills that are validated in the Google Cloud Certified Professional Data Engineer Exam are:

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

Google Cloud certifications are among the top-paying IT certifications in the world. The Google Cloud Certified Data Engineer exam measures and validates your technical skills for designing, developing, and managing solutions on the GCP platform. The top benefits of  taking up the Google Cloud Professional Data Engineer certification are as follows:

• Validates your technical knowledge of Google Cloud Platform services and technologies; also provides you a global recognition for your data processing systems development and management skills
• It’s a proven credential to validate your continuous learning and commitment
• Adds a credential to your resume and thus makes you stand out of the crowd
• Demonstrates your comprehensive hands-on experience with databases on Google Cloud Platform
• Helps you to get a number of opportunities to enhance your career as a Google Cloud Certified Professional Data Engineer
• Gets you more chances of being promoted in your current job or get a new job with a higher paycheck

According to the report by Paysa.com, the average Google Data Engineer salary is $152,428, ranging from $112,280 to $181,807 with the top earners earning more than $226,200. 

As Google Cloud Certified Professional Data Engineer is a professional-level certification, the next step could be targeting another professional-level Google Cloud certification to broaden the spectrum of your skills. Data Engineers can advance their careers in different roles.  So, as per the expertise and experience, one can choose to go for one of the following professional level Google Cloud certifications after getting the Google Cloud Professional Data Engineer certification:

• Google Cloud Certified Professional Cloud Developer
• Google Cloud Certified Professional Cloud Architect
• Google Cloud Certified Professional Cloud Security Engineer
• Google Cloud Certified Professional Cloud DevOps Engineer
• Google Cloud Certified Professional Cloud Network Engineer
• Google Cloud Certified Professional Collaboration Engineer

Being a professional-level certification exam, it’s a bit hard to pass the Google Data Engineer Certification exam. All you need is the self-determination and concentration to prepare for the exam. You will need 15-20 hours to take the Google Cloud Certified Professional Data Engineer training course and practice tests. As hands-on experience is the key to pass the Google Cloud certification, you can spend as much time as you want on practice labs to get hands-on with the Google Cloud Platform.

So, overall get an aggregate of 25-35 hours for the exam preparation and you will be fully prepared for the Google Cloud Certified Data Engineer exam.

Note: the time period required for an exam preparation depends on many factors such as prior knowledge and experience, level of the exam, the concentration of the candidate, and how much time one takes to grasp a new concept. So, the exam preparation duration mentioned above will vary from individual to individual.

Yes. We frequently write about certification preparation guides and tips on our blog. Here’s How to Prepare for the Google Cloud Certified Professional Data Engineer Exam.

• The candidate needs to wait 14 days before taking the exam second time, if fails in the first attempt.
• The candidate must wait at least 60 days before taking the exam third time, if fails in the 2nd attempt.
• The candidate also has to wait for 1 year before taking the exam fourth time.
• Thus, the candidate can take a maximum of 3 retakes in a year by paying the fee repeatedly for every attempt.

Follow the steps below to register for the Google Cloud certification exam

• Visit the official Google Cloud Webassessor website
• Log into your Webassessor account (you will have to create one if you don’t have, in order to register for the exam)
• Check the catalog, select the exam, and register
• Choose the exam center i.e. Kryterion Testing Centre 
• Schedule exam date and exam time

Note that you can reschedule your exam until 72 hours before the exam, without paying any extra charges. After this, an extra fee may apply.

You can expect the following types of questions in the Google Cloud certification exam, these are:

• Multiple-choice questions
• Multiple-response questions

Hands-on experience is the best way to prepare for a Google Cloud certification. If you want to get more real-time experience, play with the Google Cloud hands-on labs available on Qwiklabs as well as GCP free tier to level up your skills and knowledge.

Yes, we offer a 100% unconditional money-back guarantee for our training courses. If you don’t clear the exam for any reason, you can apply for a full refund. 

Please note that we only refund the amount paid for the Whizlabs training course, not the certification exam cost. For more details, we recommend you to check our Refund Policy. 

Yes, you can avail up to 50% discount on the purchase of more than 10 products at a time. For more details, please feel free to write here. A member of our support staff will respond back as soon as possible.

We accept payments through different gateways like CCAvenue, Stripe, etc.

If you have any queries related to the Certification exam, Whizlabs training courses, payments, etc. please feel free to contact us. A member of our support staff will respond to you as soon as possible.