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Google Cloud Exams
GCP
Professional Cloud Architect
Topics
Bigtable

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

Bigtable

Topic in 16 exam domains

Also called: Cloud Bigtable, Google Bigtable, Google Cloud Bigtable

Google Cloud's low-latency, high-throughput NoSQL database service.

Where this appears on the exam

16 objectives in 4 of 6 domains

Domain 1
Designing and planning a cloud solution architecture
~25% of exam
Domain 2
Managing and provisioning a cloud solution infrastructure
~17.5% of exam
1. 2.2Configuring individual storage systems
Domain 4
Analyzing and optimizing technical and business processes
~15% of exam
1. 4.1Analyzing and defining technical processes
  - Disaster recovery
2. 4.2Analyzing and defining business processes
  - Business continuity
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)
  - Gemini Cloud Assist
2. 5.2Interacting with Google Cloud programmatically
  - Cloud Emulators (e.g., Bigtable, Spanner, Pub/Sub, and Firestore)

Related topics

Application Default CredentialsFeature Identity and Access ManagementService customer-managed encryption keysFeature BigQueryService Compute EngineService DataflowService Pub/SubService

BigtableService

SpannerService Cloud Run functionsService Cloud StorageService Google Cloud StorageService GKEService Cloud LoggingService Apache BeamConcept App EngineService automated backupFeature autoscalingFeature Cloud RunService

Points to what builds on itWorks with or alternative to

Application Default Credentials works with Bigtable
Application Default Credentials secures Bigtable
Bigtable depends on Application Default Credentials
BigQuery works with Bigtable
customer-managed encryption keys secures Bigtable
Identity and Access Management secures Bigtable
Apache Beam works with Bigtable
Bigtable is an alternative to Cloud Storage
Bigtable works with Compute Engine
Bigtable works with Dataflow
Bigtable works with Identity and Access Management
Bigtable works with Pub/Sub
App Engine works with Bigtable
automated backup is part of Bigtable
autoscaling is part of Bigtable
Bigtable works with Cloud Logging
Bigtable works with Cloud Run
Bigtable works with Cloud Storage
Bigtable works with customer-managed encryption keys
Application Default Credentials works with Cloud Storage
Application Default Credentials secures BigQuery
BigQuery depends on Application Default Credentials
Dataflow 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
BigQuery works with Dataflow
Application Default Credentials works with Dataflow
Application Default Credentials works with Compute Engine
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 Logging works with customer-managed encryption keys
Spanner depends on Application Default Credentials
Cloud Run works with Pub/Sub
Dataflow works with Pub/Sub
Cloud Run works with Cloud Storage
Application Default Credentials works with Cloud Run functions
Cloud Run functions depends on Application Default Credentials
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
Compute Engine is an alternative to GKE
BigQuery works with Cloud Run functions
BigQuery works with Google Cloud Storage
BigQuery works with Spanner
Cloud Run depends on Pub/Sub
Cloud Run functions works with Pub/Sub
Cloud Storage works with Dataflow
customer-managed encryption keys secures Cloud Storage
Dataflow works with Spanner
BigQuery works with Pub/Sub
Cloud Run depends on Application Default Credentials

How learners score on this topic

Last updated October 14, 2026

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