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NO.18 You are implementing workflow pipeline scheduling using open source-based tools and Google Kubernetes Engine (GKE). You want to use a Google managed service to simplify and automate the task. You also want to accommodate Shared VPC networking considerations. What should you do?
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Explanation:
Explanation
Correct Answer: D
Why Option D is correct:
- Cloud Composer is Google's managed workflow orchestration service based on Apache Airflow
- When using Shared VPC, Cloud Composer environments must be placed in the service project, not the host project
- The host project contains the network resources (VPC, subnets), while service projects attach to the host project to use these shared network resources
- This configuration allows Cloud Composer to leverage the Shared VPC networking while maintaining proper project separation
Why other options are incorrect:
- Option A & B: Dataflow is for data processing pipelines, not workflow orchestration/scheduling. Cloud Run triggers or shell scripts don't provide the comprehensive workflow management that Cloud Composer offers
- Option C: Placing Cloud Composer resources in the host project violates Shared VPC best practices - Cloud Composer should be in the service project
Key Points:
- Shared VPC architecture requires clear separation between host project (network resources) and service projects (workloads)
- Cloud Composer is the appropriate managed service for workflow pipeline scheduling using open-source tools
- GKE integration is supported through Cloud Composer's managed Airflow environment
Reference: https://cloud.google.com/composer/docs/how-to/managing/configuring-shared-vpc
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