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| Section | Weight | Objectives |
|---|---|---|
| Application Observability and Maintenance | 15% | - Use built-in CLI tools to monitor Kubernetes applications - Debugging in Kubernetes - Implement probes and health checks - Utilize container logs - Understand API deprecation policies |
| Application Deployment | 20% | - Use Kubernetes primitives to implement common deployment strategies (e.g., blue/green or canary) - Use the Helm package manager to deploy existing packages - Kustomize - Understand Deployments and how to perform rolling updates |
| Services and Networking | 20% | - Use Ingress rules to expose applications - Provide and troubleshoot access to applications via services - Demonstrate basic understanding of NetworkPolicies |
| Application Environment, Configuration and Security | 25% | - SecurityContexts - Understanding and defining resource requirements, limits and quotas - ConfigMaps and Secrets - Understand authentication, authorization and admission control - ServiceAccounts - Discover and use resources that extend Kubernetes (CRD, Operators) |
| Application Design and Build | 20% | - Choose and use the right workload resource (Deployment, DaemonSet, CronJob, etc.) - Understand multi-container Pod design patterns (e.g., sidecar, init and others) - Utilize persistent and ephemeral volumes - Define, build and modify container images |
To pass the CKAD exam, you must put in a lot of time studying, practicing, and working hard. You will need real Linux Foundation CKAD Questions and the necessary understanding of the exam's format to pass the CKAD test. Without preparing with actual Linux Foundation Certified Kubernetes Application Developer Exam (CKAD) questions, applicants find it difficult to get the knowledge essential to pass the Linux Foundation certification exam in a short time.
NEW QUESTION # 221 
Task
You have rolled out a new pod to your infrastructure and now you need to allow it to communicate with the web and storage pods but nothing else. Given the running pod kdsn00201 -newpod edit it to use a network policy that will allow it to send and receive traffic only to and from the web and storage pods.
Answer:
Explanation:
See the solution below.
Explanation
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
name: internal-policy
namespace: default
spec:
podSelector:
matchLabels:
name: internal
policyTypes:
- Egress
- Ingress
ingress:
- {}
egress:
- to:
- podSelector:
matchLabels:
name: mysql
ports:
- protocol: TCP
port: 3306
- to:
- podSelector:
matchLabels:
name: payroll
ports:
- protocol: TCP
port: 8080
- ports:
- port: 53
protocol: UDP
- port: 53
protocol: TCP
NEW QUESTION # 222
You are building a microservice that relies on a third-party API for its functionality_ To ensure the reliability and performance of your microservice, you need to implement a robust strategy tor handling API calls. Design a deployment strategy that addresses potential issues with the third-pany API and ensures the stability of your microservice.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
I). Use a Deployment:
- Deploy your microservice using a Deployment. Deployments provide a robust mechanism for managing and scaling your microservices, making it easy to update and manage your application.
2. Secure API Credentials: - Store API credentials (like API keys or tokens) securely using a Kubernetes Secret. This prevents credentials from being exposed in plain text within your deployments.
3. Implement Retry Mechanisms: - Add retry logic to your code to handle transient errors (like network hiccups or temporary service outages) during API calls. This helps ensure that your microservice can recover from temporary issues and continue functioning. 4. Utilize Rate Limiting: - Implement rate limiting to prevent your microservice from ovenvhelming the third-party API. This helps protect both your microservice and the API from performance degradation- 5. Use a Circuit Breaker Pattern: - Integrate a circuit breaker pattern into your API call handling. This pattern helps prevent cascading failures by automatically stopping requests to the third-party API it it is experiencing prolonged outages or errors- 6. Consider a Proxy or Gateway: - Implement a proxy or gateway layer between your microservice and the third-party API. This layer can help with request routing, load balancing, security, and performance optimization. 7. Monitor API Calls: - Implement monitoring and logging to track API call performance and identify potential issues. This allows you to proactively identify and address problems before they impact your microservice's reliability 8. Utilize Caching: - Consider caching API responses to reduce the load on the third-party API and improve the response time of your microservice. 9. Implement Fallbacks: - Have fallback mechanisms in place if the third-party API is unavailable. This could involve returning default data or using alternative data sources to provide a degraded but functional experience. 10. Consider Using a Service Mesh: - For complex microservice architectures, consider implementing a service mesh like Istio. Service meshes provide features like traffic management, security, observability, and resilience, which can be very beneficial for managing interactions with third-party APIs.,
NEW QUESTION # 223
Refer to Exhibit.
Task:
Create a Deployment named expose in the existing ckad00014 namespace running 6 replicas of a Pod.
Specify a single container using the ifccncf/nginx: 1.13.7 image Add an environment variable named NGINX_PORT with the value 8001 to the container then expose port 8001
Answer:
Explanation:
Solution:
NEW QUESTION # 224 
Context
A project that you are working on has a requirement for persistent data to be available.
Task
To facilitate this, perform the following tasks:
* Create a file on node sk8s-node-0 at /opt/KDSP00101/data/index.html with the content Acct=Finance
* Create a PersistentVolume named task-pv-volume using hostPath and allocate 1Gi to it, specifying that the volume is at /opt/KDSP00101/data on the cluster's node. The configuration should specify the access mode of ReadWriteOnce . It should define the StorageClass name exam for the PersistentVolume , which will be used to bind PersistentVolumeClaim requests to this PersistenetVolume.
* Create a PefsissentVolumeClaim named task-pv-claim that requests a volume of at least 100Mi and specifies an access mode of ReadWriteOnce
* Create a pod that uses the PersistentVolmeClaim as a volume with a label app: my-storage-app mounting the resulting volume to a mountPath /usr/share/nginx/html inside the pod
Answer:
Explanation:
See the solution below.
Explanation:
Solution:
NEW QUESTION # 225
Exhibit:
Task
A deployment is falling on the cluster due to an incorrect image being specified. Locate the deployment, and fix the problem.
Answer: A
NEW QUESTION # 226
......
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