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-- Professional Data Engineer --
A Professional Data Engineer enables data-driven decision making by collecting, transforming, and publishing data. 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. A 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 .
Ensure solution quality .
Why should I buy the Google Cloud Certified Professional Cloud Architect practice tests from TestPrep Trainig ?
These practice exams contain 151 unique high-quality questions .
DETAILED EXPLANATIONS (Without references)
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