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| Section | Weight | Objectives |
|---|---|---|
| Application Observability and Maintenance | 15% | - Debugging in Kubernetes - Implement probes and health checks - Understand API deprecation policies - Use built-in CLI tools to monitor Kubernetes applications - Utilize container logs |
| 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 |
| Application Design and Build | 20% | - Define, build and modify container images - Understand multi-container Pod design patterns (e.g., sidecar, init and others) - Utilize persistent and ephemeral volumes - Choose and use the right workload resource (Deployment, DaemonSet, CronJob, etc.) |
| Services and Networking | 20% | - Demonstrate basic understanding of NetworkPolicies - Provide and troubleshoot access to applications via services - Use Ingress rules to expose applications |
| Application Environment, Configuration and Security | 25% | - Discover and use resources that extend Kubernetes (CRD, Operators) - ConfigMaps and Secrets - Understanding and defining resource requirements, limits and quotas - SecurityContexts - ServiceAccounts - Understand authentication, authorization and admission control |
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NEW QUESTION # 210
You are deploying a web application with a separate database container. You need to implement a proxy container that handles requests from the web server and forwards them to the database container. The proxy container should also log all incoming requests to a dedicated log file within the Pod.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Define the Pod YAML: Create a Pod YAML file that includes the web server, database, and proxy containers.
2. Configure the Proxy Container: Choose a suitable proxy container image (e.g., Nginx, HAProxy) and configure it to forward requests from port 8080 to the database container on port 5432 3. Implement Logging: Configure the proxy container to log incoming requests to the '/var/log/proxy' directory. You can use the proxy container's built- in logging facilities or install a separate logging agent within the container. 4. Deploy the Pod: Apply the Pod YAML using ' kubectl apply -f my-app-pod_yaml' 5. Verify Functionality: Access the web server container on port 80 and ensure requests are forwarded to the database container Check the log file ' Ivar/log/proxys to verify that requests are being logged. Note: This solution demonstrates using a proxy container to manage communication between different containers within a Pod. You can customize the proxy's configuration based on your specific application's requirements.,
NEW QUESTION # 211
You have a microservices application where you need to route traffic to different versions of a service based on the 'version' header in the incoming request. For example, if the header is set to 'VI' , the request should be routed to the 'VI' version Of the service, and if it's 'v? , it should be routed to the 'v? version. Design and implement an Ambassador pattern in Kubernetes to achieve this dynamic routing.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create Ambassador Service and Deployment:
- Define an Ambassador service and deployment using the Ambassador chart
- The chart can be found at: https:ngithub.com/datawire/ambassador
- IJpdate the chart to include the Ambassador configuration for dynamic routing based on the 'version' header
2. Configure Ambassador for Header-Based Routing: - Update the Ambassador YAML configuration to define a mapping that uses the 'version' header for routing. - This configuration will specify the mapping from the header value to the corresponding service endpoint.
3. Deploy the Ambassador Configuration: - Create a ConfigMap or Secret in Kubernetes to store the Ambassador configuration- - Then, apply this configuration to your Ambassador deployment. 4. Create the Service Versions: - You need to have separate deployments and services for each version of your application. - Each version will have a unique service name to be referenced in the Ambassador configuration.
5. Test the Routing: - Send requests to the Ambassador service with different 'Version' headers. - Observe the traffic being routed correctly to the corresponding version of the service. bash curl -H 'Version: VI" http://ambassador-service-ip:8080/ curl -H 'Version: v2" http://ambassador-service-ip:8080/ This will route requests to the appropriate service version based on the 'Version' header.,
NEW QUESTION # 212
You have a Kubernetes deployment named 'my-app' that runs an application with a specific configuration defined in a ConfigMap named 'my-config'. You need to implement a strategy to automatically update tne deployment wnen tne ConfigMap is changed.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a 'ConfigMap' named 'my-configs with the following contents:
2. Create a 'Deployment' named 'my-app' that mounts the 'my-config' ConfigMap as a volume:
3. Apply the ConfigMap and Deployment bash kubectl apply -f configmap.yaml kubectl apply -f deployment.yaml 4. Update the ConfigMap with new values:
5. Apply the updated ConfigMap: bash kubectl apply -f configmap.yaml - The 'kustomization.yamr file defines the resources (the 'deployment_yamr file) and the patches to apply. - The 'deployment_yamr file contains the base configuration for the deployment. - The patch.yamr tile applies a strategic merge patch to the deployment, configuring rolling updates and automatic updates triggered by new images. - The 'maxSurge' and 'maxunavailable' settings in the 'patch_yaml' define the maximum number of pods that can be added or removed during the update process. - The 'imagePullPolicy: Always' ensures that the new image is pulled from Docker Hub even if it exists in the pod's local cache, triggering the update.
NEW QUESTION # 213
Context
Anytime a team needs to run a container on Kubernetes they will need to define a pod within which to run the container.
Task
Please complete the following:
* Create a YAML formatted pod manifest
/opt/KDPD00101/podl.yml to create a pod named app1 that runs a container named app1cont using image Ifccncf/arg-output with these command line arguments: -lines 56 -F
* Create the pod with the kubect1 command using the YAML file created in the previous step
* When the pod is running display summary data about the pod in JSON format using the kubect1 command and redirect the output to a file named /opt/KDPD00101/out1.json
* All of the files you need to work with have been created, empty, for your convenience
Answer:
Explanation:
Solution:
NEW QUESTION # 214
You are deploying a new microservice called 'payment-service' that requires access to a confidential data volume mounted at /sensitive- data'. This volume is mounted as a Secret in Kubernetes. The 'payment-service' container should only be allowed to access this volume. You need to configure the PodSecurityPolicy to enforce this access restriction.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
I). Create a PodSecurityPoIicy:
- Create a YAML file for your P0dSecurityP01icy.
- Define the 'apiVersion' and 'kind'
- Add a 'metadata' section with a unique name for the policy (e.g., 'payment-service-psp').
- In the 'spec' section:
- Set 'runAsUser' to ' RunAsAny' to allow any user ID.
- Set readOnlyRootFilesystem' to 'talse' to allow modifications within the container.
- Set 'hostNetworR to 'false' to avoid using the host's network.
- Set 'allowPrivilegeEscalatiorU to 'false' to prevent privilege escalation.
- In the 'volumes' sectiom
- Define 'hostPath' as the allowed volume type with the specified path "Isensitive-data'
2. Apply the PodSecurityPolicy: - Use ' kubectl apply -f payment-service-psp.yamr to create the PodSecurityPoIicy in your cluster. 3. Create a ServiceAccount: - Create a new ServiceAccount tor the 'payment-service deployment. - Apply the ServiceAccount YAML file using 'kubectl apply -f payment-service-sa_yamr 4. Bind the PodSecurityPolicy to the ServiceAccount: - Create a RoleBinding to bind the 'payment-service-psp' to the 'payment-service' ServiceAccount - Apply the RoleBinding YAML file using "kubectl apply -f payment-service-rb.yaml'
5. Deploy the Payment Service: - Create the 'payment-service' Deployment configuration. - Specify the 'payment-service' ServiceAccount in the field. - Define the 'volumeMount tor the 'sensitive-data' volume and specify the corresponding 'volume' in the 'volumes' section. - Ensure the volume is mounted as a Secret from the 'default' namespace.
- The PodSecurityPolicy restricts the benavior of pods and their containers. - 'runAslJser' , 'readOnlyRootFilesystem', 'hostNetwork' , and sallowPrivilegeEscalation' define various security constraints for the container. - The 'volumes' section specifies allowed volume types (e.g., 'hostPath') and paths. - The ServiceAccount binds the PodSecurityPolicy to the deployment. - The ROIeBinding assigns the PodSecurityPolicy to the ServiceAccount, effectively enforcing the specified constraints. This configuration ensures that only the payment-service' deployment can access the confidential data volume mounted as a Secret in Kubernetes.
NEW QUESTION # 215
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