Quick Answer
The answer is a Kubernetes Deployment. A Deployment is the correct resource for ensuring automatic pod replacement on failure because it manages a ReplicaSet, which continuously monitors the cluster to maintain the desired number of pod replicas; when a pod fails, the ReplicaSet controller detects the discrepancy and immediately creates a replacement pod to restore the desired state, providing self-healing for stateless applications. On the Google Professional Cloud Developer exam, this concept tests your understanding of workload orchestration fundamentals—a common trap is confusing Deployments with StatefulSets or Jobs, but remember that Deployments are the go-to for stateless, self-healing scenarios where you need declarative updates and automatic pod replacement. A useful memory tip: think of a Deployment as a “self-healing manager” that delegates pod maintenance to its ReplicaSet, ensuring your application stays healthy without manual intervention.
This PCD practice question tests your understanding of deploying applications. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 developer wants to deploy a containerized application to Google Kubernetes Engine (GKE) and ensure that new pods are automatically created if an existing pod fails. Which Kubernetes resource should be used?
Job
Why wrong: Job is for batch processing, not for long-running services.
DaemonSet
Why wrong: DaemonSet runs a pod on every node, not for replica management.
Deployment
Correct: A Deployment manages ReplicaSets and ensures the desired number of pods are running.
StatefulSet
Why wrong: StatefulSet is for stateful applications with persistent identities, not for general pod replacement.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Deployment
A Deployment is the correct Kubernetes resource for ensuring declarative updates and self-healing for stateless applications. It manages a ReplicaSet, which maintains the desired number of pod replicas; if a pod fails, the ReplicaSet controller automatically creates a replacement pod to match the desired state.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Job
Why it's wrong here
Job is for batch processing, not for long-running services.
DaemonSet
Why it's wrong here
DaemonSet runs a pod on every node, not for replica management.
Deployment
Why this is correct
Correct: A Deployment manages ReplicaSets and ensures the desired number of pods are running.
Related concept
Read the scenario before looking for a memorised answer.
StatefulSet
Why it's wrong here
StatefulSet is for stateful applications with persistent identities, not for general pod replacement.
Common exam traps
The trap here is that candidates often confuse Deployments with StatefulSets, assuming stateful applications always need StatefulSets, but the question explicitly describes a stateless containerized application that only needs automatic pod replacement, making Deployment the simplest and correct choice.
Detailed technical explanation
Under the hood, a Deployment creates a ReplicaSet with a pod template and a desired replica count. The ReplicaSet controller continuously watches the cluster via the API server and uses a reconciliation loop to compare the current number of pods against the desired count; if a pod is deleted or crashes, the controller immediately creates a new pod using the same template. This mechanism relies on the etcd-backed watch API and the Kubernetes control loop pattern, ensuring eventual consistency even under node failures.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Deploying applications — study guide chapter
Learn the concepts, then practise the questions
Deploying applications practice questions
Targeted practice on this topic area only
All PCD questions
500 questions across all exam domains
Google Professional Cloud Developer study guide
Full concept coverage aligned to exam objectives
PCD practice test guide
How to use practice tests most effectively before exam day
Related practice questions
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
Practise PCD questions linked to Designing highly scalable, available, and reliable cloud-native applications.
Practise PCD questions linked to Building and testing applications.
Practise PCD questions linked to Deploying applications.
Practise PCD questions linked to Integrating Google Cloud services.
Practise PCD questions linked to Managing application performance monitoring.
Practise PCD questions linked to PCD fundamentals.
Practise PCD questions linked to PCD scenario.
Practise PCD questions linked to PCD troubleshooting.
Practice this exam
Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.
FAQ
Deploying applications — This question tests Deploying applications — Read the scenario before looking for a memorised answer..
The correct answer is: Deployment — A Deployment is the correct Kubernetes resource for ensuring declarative updates and self-healing for stateless applications. It manages a ReplicaSet, which maintains the desired number of pod replicas; if a pod fails, the ReplicaSet controller automatically creates a replacement pod to match the desired state.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Keep practising
Last reviewed: Jun 25, 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.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.