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| Section | Weight | Objectives |
|---|---|---|
| Application Observability and Maintenance | 15% | - Monitor applications using CLI tools - Implement probes and health checks - Debug applications in Kubernetes - Work with container logs - Understand API deprecations |
| Application Environment, Configuration and Security | 25% | - Understand authentication, authorization and admission control - Apply application security settings - Create and consume Secrets - Configure resource requirements, limits and quotas - Work with ConfigMaps - Use custom resources and extensions - Use ServiceAccounts |
| Application Design and Build | 20% | - Define, build and modify container images - Choose and use appropriate workload resources - Utilize persistent and ephemeral volumes - Understand multi-container Pod design patterns |
| Application Deployment | 20% | - Use Helm package manager - Work with Kustomize - Manage Deployments, rolling updates and rollbacks - Implement deployment strategies |
| Services and Networking | 20% | - Expose applications via Services - Understand and apply NetworkPolicies - Troubleshoot network access - Use Ingress rules |
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NEW QUESTION # 26
You have a Kubernetes cluster with a Deployment named 'my-app' that runs a web application. You want to restrict access to this application to only specific users within your organization. How would you use Service Accounts and RBAC to implement this?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1 . Create a Service Account:
- Create a new Service Account specifically for your application:
- Apply this YAML file using 'kubectl apply -f my-app-sa.yaml'. 2. Create a Role: - Define a Role that grants specific permissions to the Service Account. For example, you might want to grant read access to the Deployment's secrets:
- Apply this YAML file using 'kubectl apply -f my-app-reader.yaml' 3. Bind the Role to the Service Account: - Create a RoleBinding that associates the 'my-app-reader' Role with the 'my-app-sa' Service Account:
- Apply this YAML file using 'kubectl apply -f my-app-sa-binding.yaml' 4. Update the Deployment: - Update the 'my-app' Deployment to use the new Service Account:
- Apply the updated Deployment configuration using 'kubectl apply -f my-app.yaml'. 5. Verify: - Ensure that pods within the 'my-app' Deployment are running with the correct Service Account. You can use 'kubectl get pods -l app=my-app -o wide' to inspect the pod details. 6. Restricting Access to Specific Users: - To restrict access to the application to specific users within your organization, you would need to: - Configure a more granular Role to grant specific access levels (e.g., read-only, edit, etc.). - Use a Kubernetes authentication provider (such as OAuth2 or OpenID Connect) to authenticate and authorize users. - Bind the Role to the user's identity, ensuring they have the appropriate permissions. Important Note: This example provides a basic setup for RBAC with Service Accounts. In real-world scenarios, you might need to configure more complex RBAC rules to address your specific security requirements and user access control policies.]
NEW QUESTION # 27
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 # 28
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 # 29
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 # 30
Context
You are asked to allow a Pod to communicate with two other Pods but nothing else.
You must connect to the correct host . Failure to do so may result
in a zero score.
!
[candidate@base] $ ssh ckad000
18
charming-macaw namespace to use a NetworkPolicy allowing the Pod to send and receive traffic only to and from the Pods front and db.
All required NetworkPolicies have already been created.
You must not create, modify or delete any NetworkPolicy while working on this task. You may only use existing NetworkPolicies .
Answer:
Explanation:
See the Explanation below for complete solution.
Explanation:
ssh ckad00018
You cannot create/modify/delete any NetworkPolicy.
So the only way to make the existing policies "take effect" is to ensure the right Pods have the labels
/selectors those policies expect.
The task: in namespace charming-macaw, configure things so the target Pod can send + receive traffic ONLY to/from Pods front and db.
1) Inspect what NetworkPolicies already exist (don't change them)
kubectl -n charming-macaw get netpol
kubectl -n charming-macaw get netpol -o wide
Dump them to see the selectors they use:
kubectl -n charming-macaw get netpol -o yaml
You are looking for policies that:
* select the restricted pod via spec.podSelector
* and allow ingress/egress only with selectors that match front and db
* often there's also a "default deny" policy.
2) Identify the Pods and their current labels
kubectl -n charming-macaw get pods -o wide
kubectl -n charming-macaw get pods --show-labels
Specifically inspect labels for front and db:
kubectl -n charming-macaw get pod front --show-labels
kubectl -n charming-macaw get pod db --show-labels
(If they're Deployments instead of single Pods, do:)
kubectl -n charming-macaw get deploy --show-labels
kubectl -n charming-macaw get pods -l app=front --show-labels
kubectl -n charming-macaw get pods -l app=db --show-labels
3) Figure out which pod is "the Pod" to restrict
Usually there's a third pod (e.g., backend, api, app) besides front and db.
List pods again and identify the "other" one:
kubectl -n charming-macaw get pods
Let's assume the pod to restrict is called app (replace as needed):
TARGET=<pod-to-restrict>
4) Match the existing NetworkPolicy selectors by labeling pods (allowed) Because you can't edit NetworkPolicies, you must make labels on Pods (or their controllers) match the policies' selectors.
4.1 Determine the label required on the TARGET pod
From the YAML, find the policy that selects the restricted pod, e.g.:
spec:
podSelector:
matchLabels:
role: restricted
Extract podSelector from each policy quickly:
kubectl -n charming-macaw get netpol -o jsonpath='{range .items[*]}{.metadata.name}{" => "}{.spec.
podSelector}{"\n"}{end}'
Pick the selector that is meant for the restricted pod, then apply it to the TARGET pod (example:
role=restricted):
kubectl -n charming-macaw label pod $TARGET role=restricted --overwrite Best practice (if the pod is managed by a Deployment): label the Deployment template instead, so it persists.
Find the owner:
kubectl -n charming-macaw get pod $TARGET -o jsonpath='{.metadata.ownerReferences[0].kind}{" "}{.
metadata.ownerReferences[0].name}{"\n"}'
If it's a ReplicaSet, find its Deployment:
RS=$(kubectl -n charming-macaw get pod $TARGET -o jsonpath='{.metadata.ownerReferences[0].name}') kubectl -n charming-macaw get rs $RS -o jsonpath='{.metadata.ownerReferences[0].kind}{" "}{.metadata.
ownerReferences[0].name}{"\n"}'
Then label the Deployment (example):
kubectl -n charming-macaw label deploy <DEPLOYMENT_NAME> role=restricted --overwrite
4.2 Ensure front and db match what the allow-rules reference
Look inside the allow policy ingress.from / egress.to. You might see something like:
from:
- podSelector:
matchLabels:
name: front
- podSelector:
matchLabels:
name: db
So you must ensure:
* front pod has name=front
* db pod has name=db
Apply labels (examples-use what the policy expects):
kubectl -n charming-macaw label pod front name=front --overwrite
kubectl -n charming-macaw label pod db name=db --overwrite
Again, if they're Deployments, label the Deployment instead:
kubectl -n charming-macaw label deploy front name=front --overwrite
kubectl -n charming-macaw label deploy db name=db --overwrite
5) Verify the NetworkPolicies now "select" the right pods
Check which labels each pod has now:
kubectl -n charming-macaw get pods --show-labels
Confirm the restricted pod matches the NetPol podSelector:
kubectl -n charming-macaw get netpol <POLICY_NAME> -o jsonpath='{.spec.podSelector}{"\n"}' kubectl -n charming-macaw get pod $TARGET --show-labels
6) Functional verification (quick network tests)
Exec into the restricted pod and try to reach:
* front # allowed
* db # allowed
* anything else # blocked
If busybox has wget:
kubectl -n charming-macaw exec -it $TARGET -- sh -c 'wget
-qO- http://front 2
>/dev/null || true'
kubectl -n charming-macaw exec -it $TARGET -- sh -c 'wget
-qO- http://db 2
>/dev/null || true'
Test something that should be blocked (example: kubernetes service DNS name):
kubectl -n charming-macaw exec -it $TARGET -- sh -c 'wget -qO- https://kubernetes.default.svc 2>/dev/null
|| echo "blocked"'
Also test inbound (from front to target, and from db to target) if the target listens on a port; otherwise inbound testing may be limited.
What you're doing conceptually
* Existing NetPols are already correct.
* Your job is to make pod labels match the NetPol selectors so:
* default deny applies to the target
* allow rules apply only between target # front and target # db
NEW QUESTION # 31
......
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