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Google Professional Data Engineer Certification

PDE · 4 domains

Last updated: March 31, 2026

Exam Syllabus & Domains

The Google Professional Data Engineer certification exam covers the following domains. Focus your training time proportionally to each domain's weight.

Domain 1 ~22%

Design Data Processing Systems

  • 1.1 Design for security and compliance
  • 1.2 Design for reliability and fidelity
  • 1.3 Design for flexibility and portability
  • 1.4 Design data pipelines
Batch vs Streaming ArchitectureLambda vs Kappa ArchitectureData Lake vs Data Warehouse vs LakehouseSchema-on-Read vs Schema-on-WriteExactly-Once vs At-Least-Once ProcessingWindowing Strategies (Fixed, Sliding, Session)Watermarks and Late Data HandlingData Mesh PrinciplesMulti-Region Data Strategies
Domain 2 ~25%

Ingest and Process Data

  • 2.1 Plan data ingestion
  • 2.2 Build batch and streaming data pipelines
  • 2.3 Design data transformation solutions
  • 2.4 Manage data pipeline lifecycle
Pub/Sub Message Ordering and DeliveryDataflow (Apache Beam) PipelinesDataproc (Spark/Hadoop) ClustersCloud Data Fusion (CDAP)Transfer Service for Cloud DataDatastream for CDCDataflow Templates (Classic and Flex)Apache Beam Transforms (ParDo, GroupByKey)Side Inputs and Windowed JoinsDataflow Streaming Engine
Domain 3 ~20%

Store Data

  • 3.1 Select storage systems
  • 3.2 Design schemas and data models
  • 3.3 Manage data storage lifecycle
BigQuery Storage and Compute SeparationBigQuery Partitioning (Time, Range, Ingestion)BigQuery ClusteringCloud Spanner Multi-Region ArchitectureBigtable Row Key DesignFirestore Data ModelingCloud Storage Classes and LifecycleMemorystore for CachingAlloyDB for PostgreSQL
Domain 4 ~15%

Prepare and Use Data for Analysis

  • 4.1 Prepare data for analysis
  • 4.2 Share data for analysis
  • 4.3 Explore and analyze data
  • 4.4 Use data for machine learning
BigQuery ML for In-Database MLDataprep by TrifactaDataplex Data GovernanceAnalytics Hub for Data SharingLooker and Looker StudioBigQuery BI EngineVertex AI Feature StoreData Catalog and Metadata ManagementConnected Sheets for BigQuery
Domain 5 ~18%

Maintain and Automate Data Workloads

  • 5.1 Optimize data workloads
  • 5.2 Design and manage data governance
  • 5.3 Automate data workload management
  • 5.4 Monitor and troubleshoot data workloads
Cloud Composer (Managed Airflow)BigQuery Slot Management and ReservationsDataflow Autoscaling and MonitoringDLP API for Sensitive Data DetectionVPC Service Controls for DataColumn-Level Security in BigQueryData Lineage and ProvenanceCloud Monitoring for Data PipelinesCost Optimization (Flat-Rate vs On-Demand)

Where to Focus Your Study Time

Domains with higher weight have more exam questions — allocate your study hours accordingly.

D1 Design Data Processing Systems
~22%
D2 Ingest and Process Data
~25%
D3 Store Data
~20%
D4 Prepare and Use Data for Analysis
~15%
D5 Maintain and Automate Data Workloads
~18%

Study Tips

Free Study Resources

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Study Roadmap

Week-by-week study plan with free resources

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Study Tracker

Track objective completion with progress dashboard

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Cost Calculator

Total cost breakdown and ROI analysis

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Practice Quiz

Test your knowledge with free practice questions

Practice Quiz

Test your knowledge before the exam with our free practice quiz.

Take the Google Professional Data Engineer Practice Quiz

Get the Google Professional Data Engineer Study Planner

Fillable PDF with 12-week schedule, domain trackers, flashcard templates, progress tracking, and quick reference sheets. Available in Standard, ADHD-Friendly, Dark Mode, and 4-Format Bundle.

Get the Study Planner — $5.99

Also available as a 4-Format Bundle for $15.99

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Free Training Resources

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Frequently Asked Questions

What is the Google Professional Data Engineer certification?

The Google Professional Data Engineer (PDE) is a professional IT certification that validates your knowledge and skills in the exam domains covered. It is recognized globally by employers and is a valuable credential for career advancement in cybersecurity and IT.

What does the Google Professional Data Engineer certification syllabus cover?

The Google Professional Data Engineer exam syllabus covers 4 domains. Each domain is weighted differently, so focus your training on higher-weighted domains first. Review the complete domain breakdown above for objectives and key concepts.

How should I study for Google Professional Data Engineer?

Create a structured study plan covering all exam domains, use practice tests to identify weak areas, and review key concepts regularly. A fillable study planner can help you organize your training with weekly schedules and progress tracking.

How long does it take to prepare for Google Professional Data Engineer?

Preparation time varies by experience level. Most candidates spend 8-12 weeks of dedicated training. Using a structured study planner with domain-by-domain breakdown helps ensure you cover all certification objectives efficiently.