Google Professional Data Engineer Exam (GCP)

Professional Data Engineer enables data-driven decision making by collecting, transforming, and publishing data. Candidate preparing for 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.

Who should take Google Professional Data Engineer Exam?

Professional 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, and ensure solution quality.

Course Structure

Google Professional Data Engineer exam covers the following topics -

• Designing data processing systems
• Building and operationalizing data processing systems
• Operationalizing machine learning models
• Ensuring solution quality

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