Who is the Professional Data Engineer Exam Intended for?
This exam is designed for individuals who are experts in designing, building, securing, and monitoring data processing systems with a particular emphasis on compliance and security. The candidate who wants to take the Professional Data Engineer exam should have the ability to deploy, leverage, and training pre-existing machine learning models. Moreover, every applicant should have experience of more than 3 years including 1-year experience in designing and handling solutions utilizing GCP.
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Ensuring Solution Quality
The last section of the certification exam evaluates the ability of the learners to design for security & compliance, including identity & access management, legal compliance, data security, and privacy ensuring. Moreover, they should be able to ensure flexibility & portability, reliability & fidelity, as well as scalability & efficiency.
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Understanding functional and technical aspects of Google Professional Data Engineer Exam Designing data processing systems
The following will be discussed here:
- Capacity planning
- At least once, in-order, and exactly once, etc., event processing
- Hybrid cloud and edge computing
- Use of distributed systems
- System availability and fault tolerance
- Data publishing and visualization (e.g., BigQuery)
- Mapping storage systems to business requirements
- Schema design
- Selecting the appropriate storage technologies
- Batch and streaming data (e.g., Cloud Dataflow, Cloud Dataproc, Apache Beam, Apache Spark and Hadoop ecosystem, Cloud Pub/Sub, Apache Kafka)
- Online (interactive) vs. batch predictions
- Job automation and orchestration (e.g., Cloud Composer)
- Choice of infrastructure
- Distributed systems
- Data modeling
- Designing data pipelines
- Designing data processing systems
- Tradeoffs involving latency, throughput, transactions
- Architecture options (e.g., message brokers, message queues, middleware, service-oriented architecture, serverless functions)
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Requirements
The certification does not have any official prerequisites. However, it is advised to have at least three years of industry experience with one or more years of expertise in designing and managing different solutions with the use of Google Cloud Platform. It is also required to review the topics of the qualifying exam before sitting for it.
Reference: https://cloud.google.com/certification/data-engineer
