Description
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.
Adaptive Test Technology
We use our proprietary Adaptive Test Tech™ which adapts the questioning sequence and complexity based on the success of the questions attempted.
60
Questions
60 min
Duration
120
Question pool
Skills measured
- Design data processing systems
- Build and operationalize data processing systems
- Operationalize machine learning models
- Ensure solution quality