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Linux Foundation KCNA Exam Syllabus Topics:

Section	Weight	Objectives
Cloud Native Application Delivery	8%	- Delivery Models 1. GitOps principles 2. CI/CD pipelines - Deployment Strategies 1. Application lifecycle management 2. Rolling updates, canary releases
Cloud Native Architecture	16%	- Ecosystem & Landscape 1. Serverless, service mesh concepts 2. CNCF projects overview - Cloud Native Principles 1. Microservices design 2. 12-factor applications
Cloud Native Observability	8%	- Logging & Tracing 1. Centralized logging 2. Distributed tracing basics - Monitoring & Metrics 1. Tools and standards 2. Core observability signals
Container Orchestration	22%	- Orchestration Principles 1. Runtime environments 2. Why orchestration matters - Networking & Storage 1. Cluster networking model 2. Persistent storage concepts - Security & Troubleshooting 1. Security fundamentals 2. Basic troubleshooting methods
Kubernetes Fundamentals	46%	- Kubernetes Core Concepts 1. Cluster architecture and components 2. Pods, Controllers, Services 3. API resources and objects - Containerization Basics 1. Images and registries 2. Containers vs VMs - Scheduling and Administration 1. Basic kubectl operations 2. Scheduler concepts

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Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q120-Q125):

NEW QUESTION # 120
You are running a web application in a Kubernetes cluster, and you want to ensure that your application always has at least one healthy pod available for serving traffic. Which Kubernetes
concept best addresses this requirement?

A. Readiness Probes
B. Service Mesh
C. Liveness Probes
D. Pod Disruption Budgets
E. ReplicaSets

Answer: D

Explanation:
Pod Disruption Budgets (PDB) are a Kubernetes feature that helps maintain the availability of your application by limiting the number of pods that can be deleted at any given time. This ensures that at least a minimum number of healthy pods remain running, even during updates or maintenance.

NEW QUESTION # 121
Which Prometheus metric represents a single value that can go up and down?

A. Gauge
B. Summary
C. Histogram
D. Counter

Answer: A

NEW QUESTION # 122
Which of the following are not the metrics for Site Reliability Engineering?

A. Service Level Indicators 'SLI'
B. Service Level Definition 'SLD'
C. Service Level Agreements 'SLA'
D. Service Level Objectives 'SLO'

Answer: B

Explanation:
SLI defined quantitative measure of some aspect of the level of service that is provided.
SLOs are key to making data-driven decisions about reliability, they're at the core of SRE practic-es.
SLAs an explicit or implicit contract with your users that includes consequences of meeting (or missing) the SLOs they contain.

NEW QUESTION # 123
Which of the following is not the required field to describe Kubernetes objects?

A. spec
B. Kind
C. apiVersion
D. Container
E. metadata

Answer: D

NEW QUESTION # 124
Your application requires a specific storage class for its persistent dat
a. How do you configure this storage class within your deployment YAML?

A. None of the above
B. Specify the storage class name within the field of the deployment.
C. Create a separate PersistentVolumeClaim (PVC) with the desired storage class and reference the PVC in the deployment's name' field.
D. Specify the storage class name directly within the 'spec.template.spec.containers[0].volumeMounts[0].name' field of the deployment.
E. Specify the storage class name within the 'spec.template.spec.containers[01.volumeMounts[0].storageClassName' field of the deployment.

Answer: C

Explanation:
The correct approach is to create a separate PersistentVolumeClaim (PVC) that specifies the desired storage class and reference the PVC in the deployments 'spec_template.spec_containers[0]_volumeMounts[0]_name' field. This ensures the PVC is automatically bound to a PV with the correct storage class. Specifying the storage class name directly within the deployment or the volumeMounts section is not the standard practice for defining storage requirements.

NEW QUESTION # 125
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