Google Cloud Certified Professional Data Engineer

Who should take this GCP Data Engineer training course?

Are you a data engineer, data scientist, cloud architect, DevOps engineer, or any cloud professional who aspires to learn or use data engineering skills on the Google Cloud Platform (GCP)?

Are you an aspiring student or an entry-level professional and familiar with the fundamentals of GCP? Do you have the Google-recommended 3+ years of industry experience with a minimum of 1+ years designing and managing solutions using GCP?

If yes, then you can take up this training to learn all the skills required to design, build, implement, monitor, manage, and secure data processing workloads. Both the video course and practice tests including the free test helps to ramp up your learning progress to gauge your understanding of these concepts and preparedness for the GCP Data Engineer certification exam questions.

What are the GCP Data Engineer Skills?

By earning the Google Cloud Certified Professional Data Engineer certification you become a data engineer who implements data processing and professional data engineer collects, manipulates, and publishes data to make data useful and valuable to other solutions on the Google Cloud Platform (GCP). Top companies such as PayPal,Target, Twitter and many more use the GCP for their business applications and constantly hire professional GCP data engineers to design, build and maintain data-driven business applications.

The Google Cloud Certified Professional Data Engineer is a professional-level certification exam from Google that validates your ability to:

• Designing data processing systems
• Ingesting and processing the data
• Storing the data
• Preparing and using data for analysis
• Maintaining and automating data workloads

Benefits on becoming Google Cloud Certified Professional Data Engineer certification

Becoming a Google Cloud Certified Professional Data Engineer offers several benefits for individuals in the field of data engineering. Here are some key advantages of earning this certification:

• In-demand Skills: Become one among the in-demand GCP professionals who can demonstrate skills such as designing, building, operationalizing, monitoring data processing systems securely and efficiently. And leveraging, deploying, and training for business applications.
• Data-driven Approach: Implement decision-making functions for real-time applications by collecting, transforming, and publishing data.
• Career Advancement: Earn the GCP Data Engineer credentials and increase your value in the market to get better opportunities and higher salaries.

How to reach your Google Cloud Certified Professional Data Engineer goal faster?

Following these steps significantly increases your confidence and chances of passing the Google Cloud Certified Professional Data Engineer practice exam much faster:

• Enroll in this training to start preparing with the help of a video course, 4 gcp data engineer certification practice tests and a free test.
• Finish the video course that covers all the GCP Data Engineer examination syllabus with 7+ hours of content within a couple of weeks.
• Then take up the free test to assess your knowledge of the GCP Data Engineer examination concepts.
• Identify your weak points and mistakes based on your score in the free test. Prepare thoroughly by revisiting the video course to learn the concepts in which you need to improve.
• Attempt the first GCP Data Engineer practice test to assess your learnings and track your improvements. Finally, attempt the remaining 3 practice tests by following this learning approach.

What does it take to earn the GCP Data Engineer certification?

To earn this certification, you will need to enroll and pass the GCP Data Engineer certification exam by marking at least 80% right answers. Google Cloud Certified Professional Data Engineer exam features 50 multiple-choice and multiple-select question formats with 2 hours of time duration. This exam is available in English and Japanese languages. And, also you can go through the GCP Professional Data Engineer sample questions before attempting the exam.