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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Application Environment, Configuration and Security | 25% | - Understand authentication, authorization and admission control - Create and consume Secrets - Use ServiceAccounts - Apply application security settings - Configure resource requirements, limits and quotas - Use custom resources and extensions - Work with ConfigMaps |
| Topic 2: Application Observability and Maintenance | 15% | - Monitor applications using CLI tools - Understand API deprecations - Debug applications in Kubernetes - Implement probes and health checks - Work with container logs |
| Topic 3: Services and Networking | 20% | - Troubleshoot network access - Understand and apply NetworkPolicies - Expose applications via Services - Use Ingress rules |
| Topic 4: Application Design and Build | 20% | - Understand multi-container Pod design patterns - Choose and use appropriate workload resources - Utilize persistent and ephemeral volumes - Define, build and modify container images |
| Topic 5: Application Deployment | 20% | - Manage Deployments, rolling updates and rollbacks - Use Helm package manager - Work with Kustomize - Implement deployment strategies |
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NEW QUESTION # 105
Context
Task:
Modify the existing Deployment named broker-deployment running in namespace quetzal so that its containers.
1) Run with user ID 30000 and
2) Privilege escalation is forbidden
The broker-deployment is manifest file can be found at:
Answer:
Explanation:
Solution:
NEW QUESTION # 106
Exhibit:
Context
You are tasked to create a ConfigMap and consume the ConfigMap in a pod using a volume mount.
Task
Please complete the following:
* Create a ConfigMap named another-config containing the key/value pair: key4/value3
* start a pod named nginx-configmap containing a single container using the
nginx image, and mount the key you just created into the pod under directory /also/a/path
Answer: A
NEW QUESTION # 107
You are running a microservice-based application on Kubernetes- You want to deploy a new version of one of your microservices, but you need to ensure a smootn rollout without causing downtime. Explain tne steps involved in implementing a blue-green deployment strategy for this microservice.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a Blue Deployment:
- Create a new Deployment With the updated image of the microservice.
- Configure this Deployment with a new label (e.g., 'app=my-service-blue'
- Use a 'service with a 'selectors that matches the 'app=my-servjce-blue' label to route tramc to tne blue deployment.
2 Create a Green Deployment:
- Create a second Deployment with the previous version of the microservice.
- Configure this Deployment with the old label (e.g., 'app=my-service-green')_
3. Configure a Service:
- Create a 'service' that initially targets only the green Deployment Capp=my-service-greeru)_
4. Initial Rollout (Optional):
- You can choose to perform an initial rollout of the blue Deployment with a low weight to test the new version. This allows you to gradually increase traffic to the blue Deployment.
5. Switch Traffic to Blue:
- Once you are confident with the new version, update the 'service' to target the blue Deployment Capp=my-service-blue') and remove the green Deployment.
6. Cleanup:
- You can delete the green Deployment as it's no longer needed.
7. Continuous Integration/Continuous Delivery (CIICD):
- Integrate your deployment process with CI/CD tools to automate blue-green deployments for future releases.,
NEW QUESTION # 108
You have a Kustomization file that uses a resource patch to modify the deployment of an Nginx service. The patch uses the field to set the CPLJ request for the container to 500m. However, you've noticed that this patch is no longer working as expected. You've been informed that the field has been deprecated and replaced with a new field structure in newer Kubernetes API versions. Explain how to update the Kustomization file to accommodate this change, ensuring compatibility with both older and newer Kubernetes versions.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Identify tne New Field Structure: Research the updated field structure for container resource definitions in the newer Kubernetes API version. The new structure likely utilizes nested resource fields for each container, like instead of a flat structure.
2. Update the Kustomization Patch: Modify the resource patch in your Kustomization file to use the updated field structure. If the newer field structure is 'spec-template-spec-containers[l.resources.requests.cpu' , update your patch accordingly. This could involve changing the patch's path or using a different patch strategy, such as a strategic merge patch.
3. Consider Conditional Patches: If you need to support both older and newer Kubernetes versions, utilize conditional patches in your Kustomization file. This allows you to apply different patcnes based on the Kubernetes API version detected. You can use Kustomize's 'patchJson6902' strategy With a conditional statement to apply the correct patch depending on the API version.
4. Test the Updated Kustomization: Deploy your Kustomization to a cluster running both older and newer Kubernetes versions. Validate that the CPU requests are correctly applied to the Nginx deployment containers in each version. Verify that the patcnes are being applied appropriately based on the detected Kubernetes API version. 5. Document Changes: Ensure that the updated Kustomization file and any conditional logic are well-documented to prevent future confusion or errors when deploying to different Kubernetes environments. By following these steps, you can successfully update your Kustomization file to accommodate the deprecated field structure and ensure compatibility with different Kubernetes API versions. This will allow you to manage and configure your deployments effectively, even as Kubernetes evolves.
NEW QUESTION # 109
You are building a microservices architecture for a web application. One of your services handles user authentication. To ensure the service remains available even if one of the pods fails, you need to implement a high-availability solution. Design a deployment strategy for the authentication service that utilizes Kubernetes features to achieve high availability and fault tolerance.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Deploy as a StatefuISet:
- Use a StatefuISet to deploy your authentication service. StatefuISets maintain persistent storage and unique identities for each pod, ensuring that data is preserved and the service can recover from failures without losing state.
2. I-Ise Persistent Volumes: - Provision persistent volumes for each pod in the StatefulSet to store sensitive data like user credentials or session information. This ensures that the data persists even if a pod iS restarted or replaced. 3. Configure a Service with Load Balancing: - Create a Service that uses a load balancer (like a Kubernetes Ingress or external load balancer) to distribute traffic across the replicas of your authentication service. This ensures that requests are evenly distributed, even if some pods are down.
4. Implement Health Checks: - Set up liveness and readiness probes for the authentication service. Liveness probes ensure that unhealthy pods are restarted, while readiness probes ensure that only nealtny pods receive traffic. 5. Enable TLS/SSL: - Secure your authentication service with TLS/SSL to protect sensitive user data during communication. You can use certificates issued by a certificate authority (CA) or self-signed certificates for development environments. 6. Consider a Distributed Cache: - For improved performance and scalability, consider using a distributed cache like Redis or Memcached to store frequently accessed data, such as user authentication tokens. This can reduce the load on the authentication service and improve user response times.
NEW QUESTION # 110
......
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