- A
Use Cloud Asset Inventory to compare configurations and alert on differences.
Why wrong: Alerts on drift but does not enforce compliance.
- B
Retrieve cluster configuration for each cluster using gcloud container clusters describe and apply changes manually.
Why wrong: Manual process not scalable.
- C
Use Config Connector with deployment scripts to manage cluster resources as Kubernetes custom resources.
Why wrong: Config Connector can manage GCP resources from within Kubernetes, but requires clusters to be running; less direct than Terraform for initial deployment.
- D
Use Terraform with a module that defines the standard cluster configuration, and apply it to each project.
Terraform provides infrastructure-as-code for consistent, scalable deployment.
Question 531 of 1,000
hardMultiple ChoiceObjective-mapped
Google ACE Practice Question: A team manages multiple Kubernetes Engine…
This ACE practice question tests your understanding of ace exam topics. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A team manages multiple Kubernetes Engine clusters across different projects. They need to enforce that all clusters have the same security policies, including private cluster settings and workload identity. Which approach is most scalable?
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
✓
Use Terraform with a module that defines the standard cluster configuration, and apply it to each project.
Option D is correct because Terraform, combined with a reusable module, provides an Infrastructure as Code (IaC) approach that enforces consistent cluster configurations across multiple projects declaratively. This method is scalable as it allows you to define the standard security policies (private cluster settings, Workload Identity) once in a module and apply it to any number of clusters, ensuring drift is prevented and changes are auditable.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use Cloud Asset Inventory to compare configurations and alert on differences.
Why it's wrong here
Alerts on drift but does not enforce compliance.
- ✗
Retrieve cluster configuration for each cluster using gcloud container clusters describe and apply changes manually.
Why it's wrong here
Manual process not scalable.
- ✗
Use Config Connector with deployment scripts to manage cluster resources as Kubernetes custom resources.
Why it's wrong here
Config Connector can manage GCP resources from within Kubernetes, but requires clusters to be running; less direct than Terraform for initial deployment.
- ✓
Use Terraform with a module that defines the standard cluster configuration, and apply it to each project.
Why this is correct
Terraform provides infrastructure-as-code for consistent, scalable deployment.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse monitoring tools (Cloud Asset Inventory) or Kubernetes-native tools (Config Connector) with true IaC enforcement, overlooking that Terraform's declarative, module-based approach is the only option that provides scalable, automated, and consistent policy application across multiple projects.
Detailed technical explanation
How to think about this question
Terraform modules allow you to parameterize cluster configurations (e.g., private_cluster_config, workload_identity_config) and reuse them across projects by passing different project IDs or regions as variables. Under the hood, Terraform uses the Google Cloud Provider to call the GKE API (e.g., container.projects.locations.clusters.create) with the exact same resource block, ensuring that every cluster is created with identical security settings, and any manual changes to a cluster will be detected as drift and can be automatically corrected on the next apply.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Questions learners often ask
What does this ACE question test?
Read the scenario before looking for a memorised answer.
What is the correct answer to this question?
The correct answer is: Use Terraform with a module that defines the standard cluster configuration, and apply it to each project. — Option D is correct because Terraform, combined with a reusable module, provides an Infrastructure as Code (IaC) approach that enforces consistent cluster configurations across multiple projects declaratively. This method is scalable as it allows you to define the standard security policies (private cluster settings, Workload Identity) once in a module and apply it to any number of clusters, ensuring drift is prevented and changes are auditable.
What should I do if I get this ACE question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 25, 2026
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