To become a certified Google Professional Data Engineer, candidates must pass the Professional-Data-Engineer exam. Professional-Data-Engineer-JPN exam consists of multiple-choice and scenario-based questions that test the candidate's knowledge of Google Cloud data processing technologies, data storage solutions, and data analysis tools. Professional-Data-Engineer-JPN exam also evaluates the candidate's ability to design and implement data pipelines using Google Cloud services, such as BigQuery, Cloud Dataflow, and Cloud Dataproc.

Reference: https://cloud.google.com/certification/data-engineer

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To be eligible for the Google Professional-Data-Engineer exam, candidates are required to have a deep understanding of data processing technologies, such as Hadoop, Spark, and other big data frameworks. They should also be proficient in programming languages such as Python, Java, or Go, and have experience in designing and developing data processing pipelines. Additionally, candidates should have hands-on experience working with Google Cloud Platform services such as BigQuery, Dataflow, and Dataproc. Passing the Google Professional-Data-Engineer exam can prove to be a valuable asset for data professionals who want to advance their careers or demonstrate their expertise in managing data solutions on Google Cloud.

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