Cloud Digital Leader Scaling with Google Cloud operations Practice Question
A company's cloud operations team is implementing a tagging strategy for cost allocation. They want to ensure that the 'cost-center' label is present on every Compute Engine VM and Cloud Storage bucket created in their Google Cloud organization. Currently, some resources are created without this label. Which combination of controls best enforces and remediates this requirement?
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
✓
Organization Policy custom constraint to prevent creation of resources without the 'cost-center' label (preventive), plus Cloud Asset Inventory to identify existing unlabeled resources for remediation (detective)
A preventive control (org policy custom constraint requiring the label) stops future non-compliant resources. A detective/corrective control (Cloud Asset Inventory + Cloud Functions or Security Command Center) finds and remediates existing unlabeled resources. Both are needed for comprehensive enforcement.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Organization Policy custom constraint to prevent creation of resources without the 'cost-center' label (preventive), plus Cloud Asset Inventory to identify existing unlabeled resources for remediation (detective)
Why this is correct
This is the complete two-layer approach: prevention (org policy blocks future non-compliant resources at creation time) and detection/remediation (Cloud Asset Inventory finds existing unlabeled resources so they can be labeled retroactively). Together they address both the future and existing state.
- ✗
Only organization policy — once new resources are blocked, existing unlabeled resources don't matter
Why it's wrong here
An organization policy that only blocks future unlabeled resources does nothing to correct resources that already exist. Cost allocation by label requires every resource, including pre-existing ones, to carry the cost-center label; otherwise, those resources are misattributed or excluded from reports. The org policy is purely preventive, so without a separate discovery-and-remediation step, the billing data remains incomplete. In practice, you must pair the policy with Cloud Asset Inventory or similar to find and fix legacy resources, making this option insufficient on its own.
- ✗
Only Cloud Asset Inventory monitoring — alerting on unlabeled resources is sufficient without preventing their creation
Why it's wrong here
Relying solely on Cloud Asset Inventory to detect unlabeled resources leaves a window of non-compliance between resource creation and the next inventory scan or alert. Even with real-time alerts, the resource already exists and may incur costs or be used for days before remediation, and detection alone does not enforce labeling. A detective control like Cloud Asset Inventory answers 'what is unlabeled now' but cannot answer 'how do we stop this from happening again.' Without an org policy constraint, engineers can still create unlabeled resources, so this approach is reactive, not preventive, and therefore incomplete.
- ✗
Grant all engineers the 'Labels Admin' role to encourage them to add labels voluntarily
Why it's wrong here
Granting the 'Labels Admin' role to all engineers simply delegates the ability to modify labels, but it does not require them to apply the cost-center label—labeling remains voluntary and unenforced. In a large organization, engineers often skip labels under deadline pressure, and a permissive role does not create a hard check at resource creation time. Furthermore, giving every engineer high-level label admin privileges increases the risk of accidental or malicious label changes, undermining the integrity of cost data. This approach conflates permission with enforcement; a custom org policy constraint is the only way to make labeling a mandatory technical requirement.
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 |
Go deeper
Related to this question
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Cloud Digital Transformation
Key term
Cloud storage
Cloud storage is a service that lets you save data on remote servers accessed over the internet instead of on your computer's hard drive.
Key term
Organization
An Organization is a top-level container in Google Cloud that represents your company or entities and serves as the root node for all your cloud resources, policies, and access control.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This GCDL practice question is part of Courseiva's free Google Cloud certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the GCDL exam.