GCP•Professional•Professional Data Engineer

Professional Data Engineer

Empower data-driven decisions by collecting, transforming, storing, and delivering data. Design and build robust data infrastructure, optimize for performance and security. Leverage technologies like BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage.

Note: This syllabus summary was last updated in November 2025. For the most current and detailed syllabus information, please visit the official certification provider's website.

Exam Summary

TIME

120

Minutes

TOTAL

Questions

PRICE

$200

USD

VALID

Years

PASS

70%

Required

Prerequisites (Optional)

Recommended experience before taking this exam

3+ years of industry experience
1+ year designing and managing data solutions using Google Cloud

Exam Domains & Topics

Domain 1

22%

Design Data Processing Systems

Design for scalability and efficiency

Design for reliability and fidelity

Design for flexibility and portability

Design data migrations

Select appropriate storage technologies (BigQuery, Cloud Storage, Spanner)

Design data processing architecture (batch, streaming, hybrid)

Domain 2

25%

Ingest and Process the Data

Plan and execute data pipelines

Implement data transfer services

Configure streaming data processing with Pub/Sub and Dataflow

Configure batch processing with Dataflow, Dataproc

Handle late arriving and missing data

Transform and enrich data

Execute BigQuery jobs

Domain 3

20%

Store the Data

Select appropriate data storage technologies

Plan for data lifecycle management

Design for data security and compliance

Configure Cloud Storage, Cloud SQL, BigQuery, Spanner, Firestore

Implement data retention policies

Design for data durability and availability

Domain 4

18%

Prepare and Use Data for Analysis

Prepare data for visualization

Share data with stakeholders

Create queries and reports using BigQuery

Design and build data visualizations with Looker

Use AI Platform and BigQuery ML

Implement data quality checks

Domain 5

15%

Maintain and Automate Data Workloads

Orchestrate data pipelines with Cloud Composer

Monitor and troubleshoot data systems

Maintain data pipeline integrity and reliability

Automate resource provisioning

Implement monitoring and alerting

Optimize costs and performance

GCP•Professional•Professional Data Engineer

Professional Data Engineer

Note: This syllabus summary was last updated in November 2025. For the most current and detailed syllabus information, please visit the official certification provider's website.

Exam Summary

TIME

120

Minutes

TOTAL

Questions

PRICE

$200

USD

VALID

Years

PASS

70%

Required

Prerequisites (Optional)

Recommended experience before taking this exam

3+ years of industry experience
1+ year designing and managing data solutions using Google Cloud

Exam Domains & Topics

Domain 1

22%

Design Data Processing Systems

Design for scalability and efficiency

Design for reliability and fidelity

Design for flexibility and portability

Design data migrations

Select appropriate storage technologies (BigQuery, Cloud Storage, Spanner)

Design data processing architecture (batch, streaming, hybrid)

Domain 2

25%

Ingest and Process the Data

Plan and execute data pipelines

Implement data transfer services

Configure streaming data processing with Pub/Sub and Dataflow

Configure batch processing with Dataflow, Dataproc

Handle late arriving and missing data

Transform and enrich data

Execute BigQuery jobs

Domain 3

20%

Store the Data

Select appropriate data storage technologies

Plan for data lifecycle management

Design for data security and compliance

Configure Cloud Storage, Cloud SQL, BigQuery, Spanner, Firestore

Implement data retention policies

Design for data durability and availability

Domain 4

18%

Prepare and Use Data for Analysis

Prepare data for visualization

Share data with stakeholders

Create queries and reports using BigQuery

Design and build data visualizations with Looker

Use AI Platform and BigQuery ML

Implement data quality checks

Domain 5

15%

Maintain and Automate Data Workloads

Orchestrate data pipelines with Cloud Composer

Monitor and troubleshoot data systems

Maintain data pipeline integrity and reliability

Automate resource provisioning

Implement monitoring and alerting

Optimize costs and performance

Professional Data Engineer

Exam Summary

Prerequisites (Optional)

Exam Domains & Topics

Design Data Processing Systems

Ingest and Process the Data

Store the Data

Prepare and Use Data for Analysis

Maintain and Automate Data Workloads

Cloud Practice Test

Professional Data Engineer

Exam Summary

Prerequisites (Optional)

Exam Domains & Topics

Design Data Processing Systems

Ingest and Process the Data

Store the Data

Prepare and Use Data for Analysis

Maintain and Automate Data Workloads