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Google Cloud Exams
GCP
Professional Cloud Architect
Topics
Dataflow

Professional Cloud Architect

Design, plan, and manage secure, scalable, and highly available solutions on Google Cloud, and track your readiness for the Professional Cloud Architect exam Domain by Domain.

Intermediate

Prepare and test your skills

Description
Sample Question
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Intermediate

Prepare and test your skills

Description
Sample Question
Free Trial
Practice Test

Google Cloud service

Dataflow

Topic in 12 exam domains

Also called: Dataflow managed service, Dataflow service, Datflow, Google Cloud Dataflow, standard Dataflow

A Google Cloud managed service for stream and batch data processing pipelines.

Where this appears on the exam

12 objectives in 3 of 6 domains

Domain 1
Designing and planning a cloud solution architecture
~25% of exam
1. 1.1Designing a cloud solution infrastructure that meets business requirements
2. 1.2Designing a cloud solution infrastructure that meets technical requirements
  - High availability and fail-over design
3. 1.3Designing network, storage, and compute resources
  - Choosing data processing solutions
  - Choosing appropriate storage types (e.g., object, file, and databases)
Domain 2
Managing and provisioning a cloud solution infrastructure
~17.5% of exam
Domain 5
Managing implementation
~12.5% of exam
1. 5.1Advising development and operation teams to ensure the successful deployment of the solution
  - Testing frameworks (load/unit/integration)
  - Data and system migration and management tooling

Related topics

Apache BeamConcept Identity and Access ManagementService Application Default CredentialsFeature Google Cloud StorageService Private Google AccessFeature Pub/SubService Cloud StorageService SpannerService Cloud MonitoringService BigtableService Compute EngineService BigQueryService Managed Service for Apache SparkService Cloud Run functionsService

DataflowService

Managed Service for Apache AirflowService Cloud LoggingService GKEService Cloud SQLService

Points to what builds on itWorks with or alternative to

Dataflow depends on Application Default Credentials
BigQuery works with Dataflow
Application Default Credentials works with Dataflow
Dataflow works with Pub/Sub
Cloud Storage works with Dataflow
Dataflow works with Managed Service for Apache Airflow
Dataflow works with Spanner
Application Default Credentials secures Dataflow
Apache Beam works with Dataflow
Cloud Monitoring works with Dataflow
Dataflow depends on Apache Beam
Dataflow is an alternative to Managed Service for Apache Spark
Bigtable works with Dataflow
Cloud Logging works with Dataflow
Dataflow depends on Cloud Storage
Dataflow depends on Compute Engine
Dataflow depends on Google Cloud Storage
Dataflow works with Google Cloud Storage
BigQuery is an alternative to Dataflow
Dataflow works with GKE
Dataflow depends on Identity and Access Management
Dataflow depends on Private Google Access
Dataflow works with Private Google Access
Identity and Access Management secures Dataflow
Private Google Access configures Dataflow
Application Default Credentials works with Cloud Storage
Application Default Credentials secures BigQuery
BigQuery depends on Application Default Credentials
Application Default Credentials works with Pub/Sub
BigQuery is an alternative to Cloud Storage
BigQuery works with Cloud Logging
BigQuery works with Cloud Storage
Application Default Credentials works with BigQuery
Application Default Credentials secures Pub/Sub
Pub/Sub depends on Application Default Credentials
Application Default Credentials works with Bigtable
Application Default Credentials secures Bigtable
BigQuery works with Cloud SQL
Application Default Credentials works with Compute Engine
Bigtable depends on Application Default Credentials
Application Default Credentials secures Cloud Storage
Application Default Credentials secures Spanner
Cloud Storage depends on Application Default Credentials
Application Default Credentials works with Google Cloud Storage
Application Default Credentials works with Spanner
Cloud SQL works with Cloud Storage
Spanner depends on Application Default Credentials
BigQuery works with Bigtable
BigQuery works with Cloud Monitoring
Application Default Credentials works with Cloud Run functions
Cloud Run functions depends on Application Default Credentials
Managed Service for Apache Spark depends on Private Google Access
Application Default Credentials secures Compute Engine
BigQuery is an alternative to Google Cloud Storage
BigQuery is an alternative to Pub/Sub
Cloud Run functions works with Cloud Storage
BigQuery works with Cloud Run functions
BigQuery works with Google Cloud Storage
BigQuery works with Spanner
Cloud Monitoring depends on Application Default Credentials

How learners score on this topic

Last updated October 14, 2026

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