Are you looking for information regarding the Google Cloud Certified Professional Data Engineer exam? If yes, then you are at the right place. We at Testprep training are going to explore the Google Cloud Certified Professional Data Engineer exam in this article. Let us just start with the Professional Data Engineer. What exactly the Professional Data Engineer is? A Professional Data Engineer supports decision-making through data collection, transformation, and distribution. They need to design, develop, operate, secure, and monitor data processing systems with a focus on security, scalability, reliability, and flexibility. Additionally, they should be able to use, implement, and continually refine 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
- Ensure solution quality
The Google Cloud Certified Professional Data Engineer is a widely known and tough IT certification test. This exam, at an expert level, can elevate your chances of landing a prestigious job in a reputable organization. While it’s a highly esteemed certification, it’s also quite challenging due to the extensive and in-depth knowledge that Google requires you to have.
GCP Data Engineer Exam Details
First of all, let us discuss the details of the Google Cloud Certified Professional Data Engineer certification exam. In the Google Cloud Certified Professional Data Engineer exam, candidates are given a time limit of 2 hours to complete the test. Additionally, the exam questions are in the format of multiple-choice and multiple-select. To pass the exam, the candidate needs to achieve a score of 70%. The certification is valid for two years and can be taken in four languages: English, Japanese, Spanish, and Portuguese. The exam fee is $200 USD. Since each exam has its own set of requirements, it’s important to be aware of the specific requirements for the Professional Data Engineer exam, such as:
- The candidate should possess scalability and efficiency.
- S/he should be able to design and monitor data processing systems with a particular emphasis on security.
- Above all, a data engineer should be able to leverage and continuously train pre-existing machine learning models.
Scheduling the exam
Once the candidate comprehends the essence of the Professional Data Engineer certification, the next step is to enroll for the exam. If the candidate is determined to pursue this certification and become a certified Google Data Engineer, they should proceed to register for the exam and commence the preparation. Here are the steps to apply for the exam:
To book the exam, the candidate can go to the Official Google Cloud website.
- The candidate will need a Web assessor account. They are supposed to create one in order to register themselves for the exam. To create, click here
- Create the account with their personal email address and not their work address.
- Check the catalog and register for the exam they want to apply for.
- Choose the exam center i.e. Kryterion Testing Centre.
- Upon registering for the exam, candidates must schedule an exam time at a Kryterion testing center that suits their convenience. They can locate the nearest testing center here.
Furthermore, if the candidate doesn’t pass the certification exam, they can take it again after 14 days. Similarly, if you don’t pass the second time, you must wait 60 days. Further, if they don’t pass the third attempt, they will have to wait a year before trying again. Above all, payment is required each time they take an exam. It’s crucial to remember that all Google Cloud certifications remain valid for two years from the certification date. To uphold their certification status and certificate number, candidates need to recertify their certificates within this period.
Now that we have a clearer understanding of the necessary information, let’s delve into the exam outline. We’ll take a look at the topics essential for the exam, focusing on the Google Cloud Certified Professional Data Engineer Syllabus.
Designing data processing systems
- Selecting the appropriate storage technologies.
- Designing data pipelines.
- Also, designing a data processing solution.
- Further, migrating data warehousing and data processing.
Building and operationalizing data processing systems
- Firstly, building and operationalizing storage systems.
- Secondly, building and operationalizing pipelines.
- Then, building and operationalizing processing infrastructure.
Operationalizing machine learning models
- Leveraging pre-built ML models as a service.
- Deploying an ML pipeline.
- Choosing the appropriate training and serving infrastructure.
- Measuring, monitoring, and troubleshooting machine learning models.
Ensuring solution quality
- Designing for security and compliance.
- Also, ensuring scalability and efficiency.
- In addition, ensuring reliability and fidelity.
- Moreover, ensuring flexibility and portability.
Learning Resources for Google Cloud Certified Professional Data Engineer
For preparing for any certification or exam, it should be very clear if you know where to begin. The Google Cloud Certified Professional Data Engineer Difficulty is really high so you must follow a exam guide. To start the ideal preparation for the Google Cloud Certified Professional Data Engineer, the following details a few of the analytical steps that you should consider for developing an ideal schedule for your preparation.
Google Official Website– First of all, you should visit the official website of Google because it offers the most reliable information about the exam. Google provides a study guide for each of its certifications and exams. The Google Cloud Certified Professional Data Engineer course outline is also present on the Google website. Moreover, the study guide provides all the reliable and most relevant information on a particular exam. It also includes the objectives and the basic details about the exam.
Evaluate yourself with Hands-on practice!– Since this particular exam tests technical skills related to the job profiles. Hence Hands-on experience is the best preparation for the exam. If after the training program candidates feel like having more experience or practice, we strongly suggest using the hands-on labs available on Qwiklabs. Also, they are available on the GCP free tier to grade up candidates’ knowledge and skills.
Google Learning Resources
Google offers the following Google Cloud Certified Professional Data Engineer Training program:
Google Cloud Free Tier– The Google Cloud Free Tier provides the candidate with free resources to study Google Cloud services. This becomes all the more enriching for a candidate if they are completely new to the platform and need to learn the basics. On the other side, if you’re a current customer looking to explore new solutions, the Google Cloud Free Tier is there for you.
Google Cloud Essentials– In this introductory-level quest, the candidate will get hands-on practice with Google Cloud’s fundamental tools and services. Google Cloud Essentials is the recommended first Quest for the Google Cloud learner. This provides the candidate with practical experience that they can apply to their first Google Cloud project. From writing Cloud Shell commands and marshaling their first virtual machine, to running applications on Kubernetes Engine or with load balancing. All this can be easily done with the help of Google Cloud Essential. Since it is the prime introduction to the platform’s basic features.
Additional Learning Resources – When it comes to certification exams like Google Cloud Certified Professional Data Engineer, the more the learning resources, the better will be the outcome. In the same vein, if the candidate requires more in-depth knowledge and wants to critically acknowledge their components of Google Cloud Platform. So, for that, we’re providing you two Quick links for additional resources.
- Google Cloud Platform Documentation
- Technical Guides
- Official Google Cloud Certified Professional Data Engineer Study Guide
Testprep Learning Resources
Testprep Online Tutorials– Google Cloud Certified Professional Data Engineer Online Tutorial boosts your knowledge, offering a thorough understanding of exam concepts. It covers exam details and policies, providing in-depth information about the examination. This helps you prepare effectively, strengthening your readiness. Learning through Online Tutorials is a valuable step in your preparation.
Try Practice Test– Google Cloud Certified Professional Data Engineer Practice Exams ensure that candidates are well-prepared. These tests help candidates identify their weak areas for improvement. With various practice tests available online, candidates can choose the ones that suit them. Testprep training also provides beneficial practice tests for those preparing for the exam.