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Linux Foundation KCNA Exam Syllabus Topics:

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

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                          Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q143-Q148):

                          NEW QUESTION # 143
                          In Kubernetes, which abstraction defines a logical set of Pods and a policy by which to access them?

                          Answer: D

                          Explanation:
                          A Service in Kubernetes defines a logical set of Pods and a policy to access them, typically providing stable networking and load balancing.


                          NEW QUESTION # 144
                          Which component of the Kubernetes architecture is responsible for scheduling Pods to nodes and ensuring that they are running as intended?

                          Answer: B

                          Explanation:
                          The kube-scheduler is the component responsible for scheduling Pods to nodes. It takes into account resource availability node affinity, and other factors to ensure optimal resource utilization and application performance.


                          NEW QUESTION # 145
                          What does the livenessProbe in Kubernetes help detect?

                          Answer: D

                          Explanation:
                          The livenessProbe is used to detect whether a running container has become unresponsive or is in a failed state, allowing Kubernetes to automatically restart the container to recover from the failure.


                          NEW QUESTION # 146
                          You are running a microservice-based application in Kubernetes. Each service has its own HPA configured for scaling. How can you ensure that the scaling decisions for different services are coordinated to prevent resource contention?

                          Answer: C,D

                          Explanation:
                          Both resource quotas and a custom controller can help prevent resource contention. Resource quotas limit the resources each service can consume, preventing one service from monopolizing resources- A custom controller can monitor resource usage across all services and make coordinated scaling decisions to avoid over-provisioning and resource exhaustion.


                          NEW QUESTION # 147
                          What does the 'kops' acronym means?

                          Answer: C

                          Explanation:
                          https://github.com/kubernetes/kops


                          NEW QUESTION # 148
                          ......

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