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Google Cloud Certified Professional Cloud Developer Syllabus

Designing highly scalable, secure, and reliable cloud-native applications

Designing performant APIs and applications, securing them and choosing how data is stored and accessed.

32%
Weight
19
Questions
32
Marks

High-Performing Applications and APIs

  • Choosing Compute Engine, GKE or Cloud Run
  • Caching with Memorystore and session affinity
  • Apigee and API Gateway for rate limiting and auth
  • Event-driven design with Eventarc and Pub/Sub
  • Orchestration with Workflows, Cloud Tasks and Cloud Scheduler
  • Traffic splitting for rollouts and A/B tests

Secure Applications

  • Secret Manager, Cloud KMS and Workload Identity Federation
  • Application Default Credentials, OAuth 2.0 and JWT
  • Least-privilege service account roles
  • Binary Authorization and Artifact Analysis
  • Cloud Service Mesh and Private Service Connect

Storing and Accessing Data

  • Choosing storage by volume and performance
  • Schema design for AlloyDB, Spanner, Bigtable and Firestore
  • Eventual vs. strong consistency
  • Signed URLs for Cloud Storage
  • Writing data to BigQuery for analytics and AI

Building and testing applications

Setting up development environments, building containers and running tests.

23%
Weight
14
Questions
23
Marks

Development Environment

  • Local emulation with the gcloud CLI
  • Cloud Code, Cloud Shell and Cloud Workstations
  • Gemini Cloud Assist
  • AI coding assistants and MCP servers in the IDE

Building and Testing

  • Building containers with Cloud Build
  • Storing images in Artifact Registry
  • Build provenance and Binary Authorization
  • Unit tests with AI coding assistants
  • Automated integration tests in Cloud Build

Configuring cloud-native applications for deployment

Deploying and configuring applications on Cloud Run and containers on GKE.

24%
Weight
14
Questions
24
Marks

Deploying to Cloud Run

  • Deploying from source code
  • Eventarc and Pub/Sub triggers
  • Configuring event receivers
  • Versioning and securing APIs with Apigee

Deploying to GKE

  • Deploying containerized applications
  • Liveness and readiness health checks
  • Horizontal Pod Autoscaler and scaling metrics
  • Kubernetes manifests and rollouts

Integrating applications with Google Cloud services

Connecting to data services, consuming Google Cloud APIs and instrumenting applications for observability.

21%
Weight
13
Questions
21
Marks

Data and Storage Integration

  • Connecting to Cloud SQL, Firestore and Cloud Storage
  • Reading and writing across data sources
  • Publishing and consuming Pub/Sub messages
  • Cloud SQL and AlloyDB Auth Proxies

Consuming Google Cloud APIs

  • Client libraries, REST and gRPC
  • Batching, pagination and restricting returned data
  • Exponential backoff and error handling
  • Service accounts for API calls

Troubleshooting and Observability

  • Metrics, logs and traces in Google Cloud Observability
  • Error Reporting
  • Correlating spans with trace IDs
  • AI-assisted observability

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Hi! I'm your AI Tutor. Let's create a personalized study plan for your Google Cloud Certified Professional Cloud Developer certification.

I need help understanding Designing highly scalable, secure, and reliable cloud-native applications

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Learning Progress

Designing highly scalable, secure, and reliable cloud-native applications 85%
Building and testing applications 92%

Practice Test Scores

95%
Latest Score
Above passing threshold

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