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Google Cloud Exams
GCP
Professional Cloud Developer
Topics
Bigtable

Professional Cloud Developer

Build, test, deploy, and integrate cloud-native applications on Google Cloud, and track your readiness for the Professional Cloud Developer exam across every Domain.

Intermediate

Prepare and test your skills

Description
Free Trial
Practice Test

Intermediate

Prepare and test your skills

Description
Free Trial
Practice Test

Google Cloud service

Bigtable

Topic in 7 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

5 objectives in 3 of 4 domains

Domain 1
Designing highly scalable, secure, and reliable cloud-native applications
~32% of exam
1. 1.3Storing and accessing data
  - Selecting the appropriate storage system based on the volume of data and performance requirements
  - Designing appropriate schemas for structured databases (e.g., AlloyDB, Spanner) and unstructured databases (e.g., Bigtable, Firestore)
Domain 2
Building and testing applications
~23% of exam
1. 2.1Setting up your development environment
  - Emulating Google Cloud services using the Google Cloud CLI for local application development and local unit testing
2. 2.3Testing
Domain 4
Integrating applications with Google Cloud services
~21% of exam
1. 4.1Integrating applications with data and storage services
  - Reading and writing data to and from various Google Cloud data sources

Related topics

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

BigtableService

Cloud Run functionsService Google Cloud StorageService GKEService Cloud LoggingService Cloud SQLService WorkflowsService App EngineService Bigtable instanceConcept Cloud Bigtable client librariesFeature 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
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
Bigtable works with Cloud Logging
Bigtable works with Cloud Run
Bigtable is an alternative to Cloud SQL
Bigtable works with Cloud Storage
Bigtable works with customer-managed encryption keys
Bigtable instance is part of Bigtable
Cloud Bigtable client libraries is part of Bigtable
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
BigQuery works with Cloud SQL
Application Default Credentials works with Dataflow
Application Default Credentials works with Compute Engine
Application Default Credentials secures Cloud Storage
Cloud Storage depends on Application Default Credentials
Application Default Credentials works with Google Cloud Storage
Cloud Logging works with customer-managed encryption keys
Cloud SQL works with Cloud Storage
Cloud Run works with Pub/Sub
Cloud SQL works with Compute Engine
Dataflow works with Pub/Sub
Cloud Run works with Cloud Storage
App Engine works with Cloud SQL
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 Logging works with GKE
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
Cloud Run depends on Pub/Sub
Cloud Run functions works with Pub/Sub
Cloud SQL works with Identity and Access Management
Cloud Storage works with Dataflow
customer-managed encryption keys secures Cloud Storage
Application Default Credentials works with Workflows

How learners score on this topic

Last updated October 14, 2026

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Related topics

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