- A
ConfigMap.
Why wrong: ConfigMap is for configuration data, not storage.
- B
PersistentVolumeClaim with ReadWriteMany.
ReadWriteMany allows access from multiple nodes, enabling failover.
- C
EmptyDir.
Why wrong: EmptyDir is ephemeral and not suitable for persistent data.
- D
PersistentVolumeClaim with ReadWriteOnce.
Why wrong: ReadWriteOnce limits access to one node.
GKE Persistent Storage with ReadWriteMany Volume — Google Professional Cloud Developer Explained
This PCD practice question tests your understanding of integrating google cloud services. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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.
You are deploying a stateful application on GKE that requires persistent storage with high IOPS. You need to ensure that each pod can failover to a different node and still access the same data. Which volume type should you use?
Quick Answer
The answer is a PersistentVolumeClaim with ReadWriteMany. This is correct because ReadWriteMany (RWX) is the only access mode that allows multiple pods running on different nodes to mount and write to the same persistent storage volume simultaneously, which is essential for stateful failover where each pod must retain access to the same data after moving to a new node. On the Google Professional Cloud Developer exam, this question tests your understanding of Kubernetes volume access modes and their real-world implications for high-IOPS stateful workloads. A common trap is confusing ReadWriteOnce (RWO) with RWX—RWO restricts access to a single node, which would break failover. Remember the mnemonic: “RWX = Replicas Write across nodes” to recall that only ReadWriteMany supports multi-node concurrent writes.
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
PersistentVolumeClaim with ReadWriteMany.
A PersistentVolumeClaim with ReadWriteMany (RWX) is correct because it allows multiple pods to mount the same volume simultaneously, enabling pod failover to different nodes while maintaining access to the same persistent data. This is essential for stateful applications requiring high IOPS, as RWX volumes (e.g., backed by Filestore or Cloud Filestore) provide shared, concurrent read-write access across nodes in GKE.
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.
- ✗
ConfigMap.
Why it's wrong here
ConfigMap is for configuration data, not storage.
- ✓
PersistentVolumeClaim with ReadWriteMany.
Why this is correct
ReadWriteMany allows access from multiple nodes, enabling failover.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
EmptyDir.
Why it's wrong here
EmptyDir is ephemeral and not suitable for persistent data.
- ✗
PersistentVolumeClaim with ReadWriteOnce.
Why it's wrong here
ReadWriteOnce limits access to one node.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse ReadWriteOnce (RWO) with the ability to failover in Google Kubernetes Engine (GKE), but RWO locks the volume to a single node, preventing cross-node access, while ReadWriteMany (RWX) is required for multi-node failover.
Detailed technical explanation
How to think about this question
Under the hood, ReadWriteMany volumes in GKE are typically backed by network file systems like NFS (e.g., Cloud Filestore) or distributed block storage (e.g., Portworx), which use protocols such as NFSv3 or NFSv4 to allow concurrent mounts across nodes. For high IOPS workloads, consider using SSD-backed Filestore tiers or third-party CSI drivers that support RWX with performance guarantees, as the default GCE Persistent Disk only supports RWO. In real-world scenarios, stateful applications like databases or content management systems often require RWX for active-passive failover patterns, but note that RWX may introduce latency due to network overhead compared to local RWO disks.
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 media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this PCD question test?
Integrating Google Cloud services — This question tests Integrating Google Cloud services — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: PersistentVolumeClaim with ReadWriteMany. — A PersistentVolumeClaim with ReadWriteMany (RWX) is correct because it allows multiple pods to mount the same volume simultaneously, enabling pod failover to different nodes while maintaining access to the same persistent data. This is essential for stateful applications requiring high IOPS, as RWX volumes (e.g., backed by Filestore or Cloud Filestore) provide shared, concurrent read-write access across nodes in GKE.
What should I do if I get this PCD 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: Jul 4, 2026
This PCD 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 PCD exam.
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