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Overview
A Professional Data Engineer enables data-driven decision making by collecting, transforming, and publishing data. A Data Engineer should be able to design, build, operationalise, 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 Google Cloud Certified: Professional Data Engineer exam assesses your ability to:
Design data processing systems
Build and operationalise data processing systems
Operationalise machine learning models
Ensure solution quality
Review the exam guide and sample questions
The exam guide contains a complete list of topics that may be included on the exam, helping you determine if your skills align with the topics on the exam.
Review the sample questions to familiarise yourself with the format of exam questions and example content that may be covered on the Data Engineer exam.
Recommended training courses:
Register and select the option to take the exam remotely or at a nearby testing centre.
* Please note exams are not included with the course fee and need to be purchased separately in order to obtain certification.
