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Instant Download Google : Professional-Data-Engineer日本語 Questions & Answers as PDF & Test Engine

Professional-Data-Engineer日本語
  • Exam Code: Professional-Data-Engineer
  • Exam Name: Google Certified Professional Data Engineer Exam (Professional-Data-Engineer日本語版)
  • Updated: Jul 29, 2026
  • No. of Questions: 433 Questions and Answers
  • Download Limit: Unlimited
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Building & Operationalizing Data Processing Systems

Within this subject area, the test takers should show that they know how to build and operationalize storage systems. Specifically, they need to be conversant with effective use of managed services (such as Cloud Bigtable, Cloud SQL, Cloud Spanner, BigQuery, Cloud Storage, Cloud Memorystore, Cloud Datastore), storage costs & performance, and lifecycle management of data. The students should also be capable of building as well as operationalizing pipelines, including such technical tasks as data cleansing, transformation, batch & streaming, data acquisition & import, and integrating with new data sources. Apart from that, the candidates need to have sufficient competency to build and operationalize the processing infrastructure. This includes a good comprehension of provisioning resources, adjusting pipelines, monitoring pipelines, as well as testing & quality control.

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Google Professional Data Engineer Certified Professional salary

The average salary of a Google Professional Data Engineer Certified Expert in

  • United State - 151,247 USD
  • India - 25,42,327 INR
  • Europe - 135,347 EURO
  • England - 115,632 POUND

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Certification Path

The Google Professional Data Engineer Certification is one of the highest level of certification mainly focussing to the professional Data Engineering.

There is no prerequisite for this exam but still it would be best to follow some sequence in order to prove immense knowledge as a Google professional Data Engineer.

You can complete Google Associate Certifications then approach for the professional certification. For more information related to Google cloud certification track Google-certification-path

Exam Details

The Google Professional Data Engineer certification exam has the duration of 2 hours. The qualifying test is made up of multiple-select and multiple-choice questions. The exam is available either in Japanese or English. To register for it, you are required to go through the official webpage and pay the fee of $200 plus applicable taxes. While completing the registration process, the potential individuals can choose the preferred method of exam delivery. It can be taken in person at the nearest testing center or online from a remote location.

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

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

SectionWeightObjectives
Building and operationalizing data processing systems24%- Data processing and transformation
  • 1. ETL/ELT pipeline design
    • 2. Using Dataproc, Dataflow, and BigQuery SQL
      - Data ingestion and integration
      • 1. Streaming ingestion (Pub/Sub, Dataflow)
        • 2. Batch ingestion pipelines (BigQuery, Cloud Storage)
          Operationalizing machine learning models26%- Model deployment and monitoring
          • 1. Model monitoring and drift detection
            • 2. Online vs batch prediction
              - ML pipeline integration
              • 1. Feature engineering and feature stores
                • 2. Vertex AI pipeline deployment
                  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. Latency, throughput, and consistency trade-offs
                        • 2. Event-driven vs batch architectures
                          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

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