Prepare with Google Professional-Data-Engineer日本語 exam practice material, pass for sure

Updated: Aug 13, 2026

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

TopicDetails
Topic 1
  • Designing data processing systems: It delves into designing for security and compliance, reliability and fidelity, flexibility and portability, and data migrations.
Topic 2
  • 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.
Topic 3
  • 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 4
  • 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 5
  • Preparing and using data for analysis: Questions about data for visualization, data sharing, and assessment of data may appear.

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

Understanding functional and technical aspects of Google Professional Data Engineer Exam Designing data processing systems

The following will be discussed here:

  • Schema design
  • Designing data processing systems
  • Distributed systems
  • Architecture options (e.g., message brokers, message queues, middleware, service-oriented architecture, serverless functions)
  • Mapping storage systems to business requirements
  • Selecting the appropriate storage technologies
  • Data publishing and visualization (e.g., BigQuery)
  • Hybrid cloud and edge computing
  • Data modeling
  • Designing data pipelines
  • Online (interactive) vs. batch predictions
  • System availability and fault tolerance
  • At least once, in-order, and exactly once, etc., event processing
  • Use of distributed systems
  • Choice of infrastructure
  • Capacity planning
  • Tradeoffs involving latency, throughput, transactions
  • Job automation and orchestration (e.g., Cloud Composer)
  • Batch and streaming data (e.g., Cloud Dataflow, Cloud Dataproc, Apache Beam, Apache Spark and Hadoop ecosystem, Cloud Pub/Sub, Apache Kafka)

Google Professional-Data-Engineer日本語 Exam Overview:

Certification Vendor:Google Cloud
Exam Name:Google Cloud Certified Professional Data Engineer Exam
Exam Number:Professional Data Engineer
Exam Price:$200 USD
Exam Duration:120 minutes
Passing Score:Not publicly disclosed (scaled scoring system)
Available Languages:English, Japanese, Spanish, Portuguese, French, German
Certificate Validity Period:2 years
Exam Format:multiple choice, multiple select, case study
Real Exam Qty:Approximately 50–60 multiple choice and multiple select questions
Related Certifications:Google Cloud Certified - Associate Cloud Engineer
Google Cloud Certified - Professional Cloud Architect
Google Cloud Certified - Professional Machine Learning Engineer
Google Cloud Certified - Professional Data Analytics Engineer
Recommended Training:Google Cloud Professional Data Engineer Course (Coursera)
Google Cloud Data Engineering Learning Path
Exam Registration:Google Cloud Certification Registration
Sample Questions:Google Professional-Data-Engineer日本語 Sample Questions
Exam Way:Online proctored exam or onsite test center (Kryterion Webassessor)
Pre Condition:No formal prerequisites required; recommended experience with data processing and Google Cloud Platform services
Official Syllabus URL:https://cloud.google.com/learn/certification/data-engineer

What is the duration, language, and format of Google Professional Data Engineer Exam

  • Format: Multiple choices, multiple answers
  • Number of Questions: 50-60
  • Language: English (U.S.), Japanese, Spanish, and Portuguese
  • Cost: $200
  • Passing score: 80%
  • Length of Examination: 120 minutes

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