Google Certified Professional Data Engineer Exam (Professional-Data-Engineer日本語版): Professional-Data-Engineer Exam

"Google Certified Professional Data Engineer Exam (Professional-Data-Engineer日本語版)", also known as Professional-Data-Engineer exam, is a Google Certification. With the complete collection of questions and answers, BraindumpsPass has assembled to take you through 433 Q&As to your Professional-Data-Engineer Exam preparation. In the Professional-Data-Engineer exam resources, you will cover every field and category in Google Cloud Certified Certification helping to ready you for your successful Google Certification.

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  • Exam Code: Professional-Data-Engineer
  • Exam Name: Google Certified Professional Data Engineer Exam (Professional-Data-Engineer日本語版)
  • Certification Provider: Google
  • Corresponding Certification: Google Cloud Certified
  • Updated: Jul 24, 2026
  • No. of Questions: 433 Questions & Answers with Testing Engine
  • Download Limit: Unlimited

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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

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Career Path

Completing the exam associated with the Google Professional Data Engineer certification provides you with a great validation of your skills in designing, building, operationalizing, securing, and monitoring data processing systems. The job roles that you can take up after getting certified include a Google Cloud Data Engineer, an Operations Engineer, a Cloud Infrastructure Engineer, a DevOps Infrastructure Engineer, a Cloud Database Engineer, a Google Cloud IAM Engineer, a DataOps Engineer, a Big Data Engineer, a Google Cloud Platform Data Architect, and more. The average salary that you can expect to earn with this certificate is around $125,550 per year. However, the real remuneration will depend on a specific job title, location of an individual, and his/her working experience.

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

SectionWeightObjectives
Operationalizing machine learning models26%- ML pipeline integration
  • 1. Feature engineering and feature stores
    • 2. Vertex AI pipeline deployment
      - Model deployment and monitoring
      • 1. Online vs batch prediction
        • 2. Model monitoring and drift detection
          Ensuring solution quality28%- Reliability and performance
          • 1. Monitoring pipelines and workloads
            • 2. Fault tolerance and recovery strategies
              - Security and governance
              • 1. IAM and access control in GCP
                • 2. Data governance and compliance
                  Building and operationalizing data processing systems24%- Data ingestion and integration
                  • 1. Batch ingestion pipelines (BigQuery, Cloud Storage)
                    • 2. Streaming ingestion (Pub/Sub, Dataflow)
                      - Data processing and transformation
                      • 1. ETL/ELT pipeline design
                        • 2. Using Dataproc, Dataflow, and BigQuery SQL
                          Designing data processing systems22%- Data architecture and storage design
                          • 1. Choosing appropriate data storage solutions (relational, NoSQL, data warehouse)
                            • 2. Designing scalable and cost-effective data models
                              - Batch and streaming data processing design
                              • 1. Event-driven vs batch architectures
                                • 2. Latency, throughput, and consistency trade-offs

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