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Linux Foundation KCNA Exam Syllabus Topics:

Section	Objectives
Topic 1: Kubernetes Fundamentals	- Core Kubernetes concepts 1. Pods, nodes, and control plane basics 2. Cluster architecture overview
Topic 2: Cloud Native Application Delivery	- CI/CD and deployment strategies 1. Release strategies (blue/green, canary) 2. GitOps concepts
Topic 3: Cloud Native Observability	- Monitoring and logging 1. Metrics, logs, and tracing concepts 2. Observability tools overview
Topic 4: Container Orchestration	- Container lifecycle and scheduling 1. Container runtimes 2. Workload management concepts
Topic 5: Cloud Native Architecture	- Microservices and distributed systems 1. Scalability and resilience patterns 2. Service discovery and API gateways
Topic 6: Cloud Security and Governance	- Security fundamentals in cloud native systems 1. Basic Kubernetes security principles 2. Identity and access concepts

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Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q27-Q32):

NEW QUESTION # 27
Which Kubernetes-native deployment strategy supports zero-downtime updates of a workload?

A. BlueGreen
B. RollingUpdate
C. Recreate
D. Canary

Answer: B

Explanation:
D (RollingUpdate) is correct. In Kubernetes, the Deployment resource's default update strategy is RollingUpdate, which replaces Pods gradually rather than all at once. This supports zero-downtime updates when the workload is properly configured (sufficient replicas, correct readiness probes, and appropriate maxUnavailable / maxSurge settings). As new Pods come up and become Ready, old Pods are terminated in a controlled way, keeping the service available throughout the rollout.
RollingUpdate's "zero downtime" is achieved by maintaining capacity while transitioning between versions.
For example, with multiple replicas, Kubernetes can create new Pods, wait for readiness, then scale down old Pods, ensuring traffic continues to flow to healthy instances. Readiness probes are critical: they prevent traffic from being routed to a Pod until it's actually ready to serve.
Why other options are not the Kubernetes-native "strategy" answer here:
* Recreate (B) explicitly stops old Pods before starting new ones, causing downtime for most services.
* Canary (A) and BlueGreen (C) are real deployment patterns, but in "Kubernetes-native deployment strategy" terms, the built-in Deployment strategies are RollingUpdate and Recreate. Canary
/BlueGreen typically require additional tooling/controllers (service mesh, ingress controller features, or progressive delivery operators) to manage traffic shifting between versions.
So, for a Kubernetes-native strategy that supports zero-downtime updates, the correct and verified choice is RollingUpdate (D).
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NEW QUESTION # 28
Which of the following options include resources cleaned by the Kubernetes garbage collection mechanism?

A. Stale or expired CertificateSigningRequests (CSRs) and old deployments.
B. Nodes deleted by a cloud controller manager and obsolete logs from the kubelet.
C. Unused container and container images, and obsolete logs from the kubelet.
D. Terminated pods, completed jobs, and objects without owner references.

Answer: D

Explanation:
Kubernetes garbage collection cleans up terminated pods, completed jobs, and objects that no longer have owner references to free cluster resources automatically.

NEW QUESTION # 29
Explain the difference between a Kubernetes Deployment and a ReplicaSet. When would you use each of these resources?

A. Deployment and ReplicaSet are interchangeable, and both manage the lifecycle of Pods with the same template.
B. ReplicaSet is a low-level resource that manages the lifecycle of Deployments, while Deployment is a high-level resource that manages a set of Pods with the same template-
C. Deployment is a low-level resource that manages the lifecycle of ReplicaSets, while ReplicaSet is a high-level resource that manages a set of Pods with the same template.
D. Deployment is a high-level resource that manages the lifecycle of ReplicaSets, while ReplicaSet is a low-level resource that manages a set of Pods with the same template.
E. ReplicaSet is a high-level resource that manages the lifecycle of Deployments, while Deployment is a low-level resource that manages a set of Pods with the same template.

Answer: D

Explanation:
A Deployment is a high-level resource that manages the lifecycle of ReplicaSets. It defines the desired number of replicas, the pod template, and handles updates and rollbacks. A ReplicaSet is a low-level resource that manages a set of Pods with the same template. It ensures that the desired number of Pods are running based on the defined selector and ensures that pods are replaced when needed. You would use a Deployment for managing updates, rollbacks, and scaling of your applicatiom You would use a ReplicaSet if you only need to manage a set of Pods with the same template and don't require the features provided by a Deployment.

NEW QUESTION # 30
You are building a distributed system with microservices deployed in a Kubernetes cluster. Each microservice has its own database. How would you manage the consistency and reliability of data across these microservices?

A. Use a shared database for all microservices
B. Implement a distributed database system
C. Use a combination of event sourcing and CQRS (Command Query Responsibility Segregation)
D. Use a message broker to ensure data synchronization
E. Implement a distributed transaction manager

Answer: B,C,D,E

Explanation:
Managing data consistency and reliability in a distributed system with microservices is a complex challenge- There are various approaches to achieve this, including: Distributed Database System: Using a distributed database system like Cassandra or MongoDB allows for data replication and fault tolerance across different nodes. This ensures data availability and consistency. Message Broker A message broker can facilitate data synchronization between microservices- Messages are used to communicate data changes and ensure that all services are aware of the latest state. Distributed Transaction Manager: A distributed transaction manager ensures that multiple transactions across different microservices are completed as a single atomic operation. This helps maintain data consistency and integrity. Event Sourcing and CQRS: Event sourcing involves storing a sequence of events that represent changes to the system. CQRS (Command Query Responsibility Segregation) separates commands (which modify data) from queries (which retrieve data). This approach can help manage data consistency and provide a more robust architecture. The best approach depends on the specific requirements of your application, such as data consistency levels, performance needs, and scalability requirements.

NEW QUESTION # 31
Which of the following best describes the way kubernetes Role-based access control (RBAC) works?

A. Kubernetes RBAC states which users can perform which actions against which re-source
B. Kubernetes RBAC is responsible for authenticating subjects such as users and groups
C. Kubernetes RBAC lists which operations on which resources are denied to users
D. Kubernetes does not do RBAC

Answer: A

Explanation:
https://kubernetes.io/docs/reference/access-authn-authz/rbac/

NEW QUESTION # 32
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