PDE Maintaining and Automating Data Workloads Practice Question
You need to schedule a simple workflow that fetches data from an API every hour, transforms it using Cloud Functions, and writes the result to Cloud Storage. The workflow has no complex branching or retry logic beyond basic retries. Which orchestration service is the MOST cost-effective and simplest to implement?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Workflows
Workflows is serverless, pay-per-execution, and defined in YAML/JSON. It integrates natively with Cloud Functions and Cloud Storage. Cloud Composer is overkill for simple linear workflows and incurs cluster costs. Cloud Scheduler alone cannot orchestrate multiple steps. Dataflow is for data processing, not orchestration.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Cloud Scheduler
Why it's wrong here
Cloud Scheduler triggers a single target (e.g., a Cloud Function) but cannot orchestrate multiple steps within one workflow.
- ✓
Workflows
Why this is correct
Workflows is serverless, cost-effective (pay per execution), and sufficient for simple linear workflows with basic retries.
- ✗
Cloud Composer
Why it's wrong here
Cloud Composer requires a managed Airflow environment (minimum 3 nodes), which is more expensive and complex for a simple hourly workflow.
- ✗
Dataflow
Why it's wrong here
Dataflow is a data processing service, not an orchestration service. It is not designed for workflow orchestration.
Quick reference
Cloud Service Model Comparison
| Model | You Manage | Provider Manages | Examples |
|---|---|---|---|
| IaaS | OS, runtime, apps, data | Hardware, hypervisor, networking | EC2, Azure VMs, GCP Compute Engine |
| PaaS | Apps and data | OS, runtime, middleware, hardware | Elastic Beanstalk, Azure App Service |
| SaaS | Data and settings only | Everything else | Microsoft 365, Salesforce, Workday |
| FaaS / Serverless | Function code only | Infra, scaling, runtime | Lambda, Azure Functions, Cloud Run |
| CaaS | Containers and apps | Kubernetes, OS, hardware | EKS, AKS, GKE |
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