Professional-Data-Engineer日本語 Exam Dumps

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Certification Provider:	Google
Exam Code / Number:	Professional-Data-Engineer-JPN
Exam Name:	Google Certified Professional Data Engineer Exam (Professional-Data-Engineer日本語版)
Exam Questions:	433
Last Updated:	Jul 22, 2026
Corresponding Certification:	Google Cloud Certified

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The Google Professional-Data-Engineer-JPN exam consists of multiple-choice and multiple-select questions that assess the candidate's knowledge and skills in areas such as data ingestion, transformation, and storage on Google Cloud Platform. Professional-Data-Engineer-JPN exam also covers topics such as data processing using Apache Beam, data analysis using BigQuery, and machine learning using TensorFlow. Candidates who pass the exam will receive the Google Certified Professional Data Engineer certification, which is widely recognized in the industry as a mark of expertise in designing and implementing data solutions on Google Cloud Platform.

Google Professional-Data-Engineer exam is a certification offered by Google to validate the skills and expertise of data engineers. Professional-Data-Engineer-JPN exam is designed to test the ability of professionals to design, build, and maintain data processing systems that meet the needs of their organizations. It covers a wide range of topics, including data processing architecture, data modeling, data ingestion, and transformation.

Google Professional-Data-Engineer日本語 Exam Syllabus Topics:

Topic	Details
Topic 1	Maintaining and automating data workloads: It discusses optimizing resources, automation and repeatability design, and organization of workloads as per business requirements. Lastly, the topic explains monitoring and troubleshooting processes and maintaining awareness of failures.
Topic 2	Preparing and using data for analysis: Questions about data for visualization, data sharing, and assessment of data may appear.
Topic 3	Ingesting and processing the data: The topic discusses planning of the data pipelines, building the pipelines, acquisition and import of data, and deploying and operationalizing the pipelines.
Topic 4	Designing data processing systems: It delves into designing for security and compliance, reliability and fidelity, flexibility and portability, and data migrations.
Topic 5	Storing the data: This topic explains how to select storage systems and how to plan using a data warehouse. Additionally, it discusses how to design for a data mesh.

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