The Google professional data engineer exam offers the best way to demonstrate skills to work on GCP platform. This certification exam is designed for data engineers, data architects and developers who are responsible for collecting, transforming and visualizing data. A certified Google professional data engineer can easily design, build and operate data processing databases or systems in any local & multinational company. The data engineer will be responsible to take all security measures that will ensure the reliability and efficiency of data systems.
Google professional data engineer exam assesses your ability in following ways
- Your ability to build & maintain data structures and databases
- Your knowledge to design custom data processing system for enterprises.
- Your expertise to build and operationalize data processing systems.
- Your skills to run machine learning models.
- Your experience to ensure security, compliance and quality solution.
Candidates who successfully achieve Google professional data engineer certification will gain confidence in their skills and proficiency to leverage the GCP environment in many ways. In the highly competitive market, the Google certifications will differentiate your position and ahead of you in the job finding game.
Who should take the Google professional data engineer exam?
- Data architects
- Data engineers
- Data analysts
- Experience professional who responsible for managing big data collecting, structuring transformation and storing initiatives.
Google Cloud Data Engineer Professional exam Details
|Exam Length||2 hours|
|Registration Fee||$200 USD (plus tax where applicable)|
|Language||English, Japanese, Spanish and Portuguese|
|Exam format||Multiple choices and multiple select, taken in person at a test center|
|Recommended Experience||3 + years of industry experience including 1+ years designing and managing solutions using GCP|
What are the topics in Google Cloud Data Engineer Professional exam?
The Professional Data Engineer exam covers the following topics in detail.
- This exam covers the entire procedure of designing data processing Systems and Flexible Data Representation
- The second portion of this exam provides the building and maintaining data structures and databases are described in detail.
- How to analyze data and enabling the Machine Learning process precisely is the part of google cloud data engineer professional exam.
- The working details of different modeling business processes for analysis and optimization
- How to visualize Data and Advocate Policy/ Automation/ Decision Support/ Data Summarization are explained in this chapter.
- In the last chapter, designing and security compliance/ secure data infrastructure and processes are described in detail.
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