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| Section | Weight | Objectives |
|---|---|---|
| Application Deployment | 20% | - Use Kubernetes primitives to implement common deployment strategies (e.g., blue/green or canary) - Kustomize - Understand Deployments and how to perform rolling updates - Use the Helm package manager to deploy existing packages |
| Application Observability and Maintenance | 15% | - Understand API deprecation policies - Implement probes and health checks - Utilize container logs - Use built-in CLI tools to monitor Kubernetes applications - Debugging in Kubernetes |
| Application Environment, Configuration and Security | 25% | - Discover and use resources that extend Kubernetes (CRD, Operators) - SecurityContexts - ServiceAccounts - ConfigMaps and Secrets - Understand authentication, authorization and admission control - Understanding and defining resource requirements, limits and quotas |
| Services and Networking | 20% | - Provide and troubleshoot access to applications via services - Demonstrate basic understanding of NetworkPolicies - Use Ingress rules to expose applications |
| 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) - Define, build and modify container images - Utilize persistent and ephemeral volumes |
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NEW QUESTION # 61
You are building a Kubernetes application that involves a microservice architecture with multiple pods for each service. One of your services requires a sidecar container to handle logging and monitoring. How would you design the pod structure and define the relationships between the application container and the sidecar container?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Define Pod Specification:
- Create a pod definition file (e.g., 'pod.yaml').
- Include the 'apiVersion', 'kind', 'metadata' (name, labels), and 'spec' sections.
2. Define Application Container:
- Within the 'spec.containerS section, define the primary application container:
- 'name': Provide a descriptive name for the application container (e.g., 'app').
- Simage: Specify the Docker image for the application.
- 'ports': Define any ports that the application exposes.
- 'resources': (Optional) Specify resource requests and limits for the application container.
3. Define Sidecar Container.
- Add another container definition within the 'spec-containers' section for the sidecar:
- 'name': Provide a name for the sidecar container (e.g., Slogger').
- 'image': Specify the Docker image for the sidecar container (e.g., "busybox'
- 'command': Define the command to run within the sidecar. This might involve using a logging agent, monitoring tool, or any other custom script.
- 'volumeMountss: (Optional) If the sidecar needs access to shared data, mount volumes here.
4. Define Shared Volumes (Optional):
- If necessary, create a 'spec-volumes' section to define any shared volumes that both containers can access. This might include:
- 'emptyDir': For temporary data that only exists within the pod.
- 'persistentVolumeClaim': To use a persistent volume claim for shared data that persists beyond pod restarts.
5. Configure Container Relationships:
- Ensure that the 'name' of the application container and sidecar container is the same as the 'name' used in the 'volumeMounts' section.
Example YAML:
- The pod named 'my-app-pod' includes two containers: 'app' (the primary application) and 'logger' (the sidecar). - The 'loggers container uses a 'command' to simulate logging activity. - Both containers can access the 'logs' volume, which is an empty directory. Important Note: - The sidecar container should ideally be configured to interact with the application container. This might involve using shared volumes, environment variables, or inter-process communication mecnanisms to facilitate data exchange or Signal passing. - Remember to adapt the example to your specific application requirements, choosing the appropriate container images, commands, and volumes.]
NEW QUESTION # 62
You are developing a new feature for your application that requires a new microservice to be deployed. This microservice interacts With a database, and you want to ensure the database connection is handled securely and efficiently. Design a deployment strategy for the new microservice that integrates with the database and implements security best practices.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Use a Deployment:
- Deploy your new 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 Database Credentials: - Store database credentials in a Kubernetes Secret, which is encrypted at rest. This ensures that the credentials are not exposed in plain text in your deployments.
3. Configure Database Connection Details: - Define environment variables Within your Deployment to pass database connection details (like host, port, username, and password) to the container- 4. Use ConfigMaps for Configuration: - Utilize ConfigMaps to manage database connection settings (like connection strings or configuration files) that are common across multiple pods. This makes it easier to update configuration details without modifying your deployments directly.
5. Implement Database Connection Pooling. - Use a database connection pool to manage connections efficiently, reducing the overhead of establishing and closing connections frequently. 6. Consider Using Database-as-a-Service (DBaaS): - If your application is running in a cloud environment, consider leveraging a DBaaS service like Amazon RDS, Google Cloud SQL, or Azure SQL Database. DBaaS services provide managed database infrastructure, simplifying database management, scaling, and security. T Implement Database Security Practices: - Configure database security measures like access control lists (ACLs), encryption at rest, and audit logging to ensure data security
NEW QUESTION # 63
You have a Kustomization file that defines a Deployment with two replicas. You want to configure the deployment to use a different image tag based on the environment it is deployed to- For example, in the 'dev' environment, the image tag should be 'example/nginx:dev' , while in the 'prod' environment, it should be 'example:nginx:prod'. Describe how to achieve this using Kustomize.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a base Kustomization file:
resources :
- deployment. yaml
2. Create a deployment-yaml file:
3. Create environment-specific overlays: - For dev environment
- For prod environment:
4. Create a patch.yaml file:
5. Apply Kustomize: - For dev environment: bash Kustomize dev I oubect1 apply -f - - For prod environment: bash Kustomize prod I oubect1 apply -f - - The base customization file defines the resources that are included in the deployment. - The environment-specific overlays patch the base resources With the appropriate image tag. - The patchesStrategicMerge' field applies the patch.yaml tile to the deployment. - The '{{.environment}Y placeholder in the patch file is replaced with the actual environment name when Kustomize is applied. This approach allows you to easily manage and deploy your applications to different environments with specific configuration settings.
NEW QUESTION # 64
You must connect to the correct host . Failure to do so may result in a zero score.
[candidate@base] $ ssh ckad00029
Task
Modify the existing Deployment named store-deployment, running in namespace grubworm, so that its containers
* run with user ID 10000 and
* have the NET_BIND_SERVICE capability added
The store-deployment 's manifest file Click to copy
/home/candidate/daring-moccasin/store-deplovment.vaml
Answer:
Explanation:
See the Explanation below for complete solution.
Explanation:
ssh ckad00029
You must modify the existing Deployment store-deployment in namespace grubworm so that its containers:
* run as user ID 10000
* have Linux capability NET_BIND_SERVICE added
And you're told to use the manifest file at:
/home/candidate/daring-moccasin/store-deplovment.vaml (note: the filename looks misspelled; follow it exactly on the host)
1) Inspect the current Deployment and locate the manifest file
kubectl -n grubworm get deploy store-deployment
ls -l /home/candidate/daring-moccasin/
Open the manifest:
sed -n '1,200p' "/home/candidate/daring-moccasin/store-deplovment.vaml"
2) Edit the manifest to add SecurityContext
Edit the file:
vi "/home/candidate/daring-moccasin/store-deplovment.vaml"
2.1 Set Pod-level runAsUser = 10000
Under:
spec.template.spec add:
securityContext:
runAsUser: 10000
2.2 Add NET_BIND_SERVICE capability at container-level
Under the container spec (for each container in containers:), add:
securityContext:
capabilities:
add: ["NET_BIND_SERVICE"]
A complete example of what it should look like (mind indentation):
apiVersion: apps/v1
kind: Deployment
metadata:
name: store-deployment
namespace: grubworm
spec:
template:
spec:
securityContext:
runAsUser: 10000
containers:
- name: store
image: someimage
securityContext:
capabilities:
add: ["NET_BIND_SERVICE"]
Important notes:
* runAsUser can be set at Pod level (applies to all containers) or per-container. Pod-level is cleanest if all containers should run as 10000.
* Capabilities must be set per-container (that's where Kubernetes supports it).
Save and exit.
3) Apply the updated manifest
kubectl apply -f "/home/candidate/daring-moccasin/store-deplovment.vaml"
4) Ensure the Deployment rolls out
kubectl -n grubworm rollout status deploy store-deployment
5) Verify the settings are in effect
Check the rendered pod template:
kubectl -n grubworm get deploy store-deployment -o jsonpath='{.spec.template.spec.securityContext}{"\n"}' kubectl -n grubworm get deploy store-deployment -o jsonpath='{.spec.template.spec.containers[0].
securityContext}{"\n"}'
Verify on a running pod:
kubectl -n grubworm get pods
kubectl -n grubworm describe pod <pod-name> | sed -n '/Security Context:/,/Containers:/p' kubectl -n grubworm describe pod <pod-name> | sed -n '/Containers:/,/Conditions:/p' If there are multiple containers Repeat the container-level securityContext.capabilities.add block for each container under spec.template.spec.
containers.
NEW QUESTION # 65
You have a Deployment that runs a web application. The application requires a specific version ot a library that is not available in the default container image. How would you use an Init Container to install this library before starting the main application container?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create an Init Container:
- Add an 'initContainerS section to the Deployment's 'spec-template-spec' configuration.
- Define an Init Container with a suitable name (e.g., 'library-installer').
- Specify the image for the Init Container This image should contain the necessary tools and commands to install the required library.
- Replace 'your-library-installer-image:latest with the actual image you want to use.
2. Configure the Main Container: - In the main application container, ensure that the environment variable 'PATH' includes the installation directory of the library installed by the Init Container. - This allows the application to find and use the newly installed library. 3. Apply the Changes: - Apply the updated Deployment configuration using 'kubectl apply -t my-web-app-deployment.yamr. 4. Verify the Installation: - Once the Pods are deployed, you can check the logs of the main application container to confirm that the library is installed and available for use.
NEW QUESTION # 66
......
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