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Google Cloud Data Engineer Study Guide

Domain-by-domain study guide for Google Cloud Professional Data Engineer (Professional Data Engineer). Covers all 5 exam objectives with topic checklists, quick notes, and practice links.

Download PDF Notes

Exam Overview

Key facts before you start studying

Duration

120 min

Questions

Exam Code

Professional Data Engineer

Domains

Quick Navigation

Jump to a specific exam domain

1. Design Data Processing Systems (22%)
2. Ingest and Process Data (25%)
3. Store Data (20%)
4. Prepare and Use Data for Analysis (18%)
5. Maintain and Automate Data Workloads (15%)

Domain 1

22%

Design Data Processing Systems

Design and build data processing systems

Topics to Master

Designing data pipelines
Selecting storage technologies
Data integration patterns
Batch and streaming architectures

Domain 2

25%

Ingest and Process Data

Build and maintain data pipelines and processing systems

Topics to Master

Data ingestion patterns
Data transformation techniques
Dataflow and Apache Beam
BigQuery data loading

Domain 3

20%

Store Data

Select and configure storage systems

Topics to Master

BigQuery optimization
Cloud Storage patterns
Bigtable and Spanner
Data modeling

Domain 4

18%

Prepare and Use Data for Analysis

Prepare data for analysis and machine learning

Topics to Master

Data exploration and visualization
Data preparation for ML
BigQuery ML
Looker integration

Domain 5

15%

Maintain and Automate Data Workloads

Maintain, monitor, and automate data workloads

Topics to Master

Monitoring and logging
Automation and orchestration
Data quality and testing
Cost optimization

Continue Your Prep

Free CertStud resources for GCP-PDE

Study Notes Exam Study Plan Start Practice Test

Back to Google Cloud Data Engineer

Google Cloud Data Engineer Study Guide

Domain-by-domain study guide for Google Cloud Professional Data Engineer (Professional Data Engineer). Covers all 5 exam objectives with topic checklists, quick notes, and practice links.

Download PDF Notes

Exam Overview

Key facts before you start studying

Duration

120 min

Questions

Exam Code

Professional Data Engineer

Domains

Quick Navigation

Jump to a specific exam domain

1. Design Data Processing Systems (22%)
2. Ingest and Process Data (25%)
3. Store Data (20%)
4. Prepare and Use Data for Analysis (18%)
5. Maintain and Automate Data Workloads (15%)

Domain 1

22%

Design Data Processing Systems

Design and build data processing systems

Topics to Master

Designing data pipelines
Selecting storage technologies
Data integration patterns
Batch and streaming architectures

Domain 2

25%

Ingest and Process Data

Build and maintain data pipelines and processing systems

Topics to Master

Data ingestion patterns
Data transformation techniques
Dataflow and Apache Beam
BigQuery data loading

Domain 3

20%

Store Data

Select and configure storage systems

Topics to Master

BigQuery optimization
Cloud Storage patterns
Bigtable and Spanner
Data modeling

Domain 4

18%

Prepare and Use Data for Analysis

Prepare data for analysis and machine learning

Topics to Master

Data exploration and visualization
Data preparation for ML
BigQuery ML
Looker integration

Domain 5

15%

Maintain and Automate Data Workloads

Maintain, monitor, and automate data workloads

Topics to Master

Monitoring and logging
Automation and orchestration
Data quality and testing
Cost optimization

Continue Your Prep

Free CertStud resources for GCP-PDE

Study Notes Exam Study Plan Start Practice Test