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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Application Design and Build | 20% | - Utilize persistent and ephemeral volumes - Understand multi-container Pod design patterns - Choose and use appropriate workload resources - Define, build and modify container images |
| Topic 2: Application Environment, Configuration and Security | 25% | - Use ServiceAccounts - Create and consume Secrets - Understand authentication, authorization and admission control - Apply application security settings - Use custom resources and extensions - Work with ConfigMaps - Configure resource requirements, limits and quotas |
| Topic 3: Application Observability and Maintenance | 15% | - Work with container logs - Understand API deprecations - Debug applications in Kubernetes - Monitor applications using CLI tools - Implement probes and health checks |
| Topic 4: Application Deployment | 20% | - Work with Kustomize - Manage Deployments, rolling updates and rollbacks - Use Helm package manager - Implement deployment strategies |
| Topic 5: Services and Networking | 20% | - Expose applications via Services - Troubleshoot network access - Understand and apply NetworkPolicies - Use Ingress rules |
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NEW QUESTION # 95
You are developing a microservice that communicates with a message broker to process asynchronous events. You want to implement a robust and reliable communication pattern using Kubemetes. How can you set up a Kubernetes deployment for this scenario?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Deploy the Message Broker:
- Deploy the message broker of your choice (e.g., RabbitMQ, Kafka, etc.) using a 'Deployment and a 'Service'
- Configure the broker with the necessary settings, such as authentication, security, and message queues.
2 Create a Microservice Deployment
- Create a ' Deployments for your microservice.
- Define a container that runs your microservice application and includes the necessary dependencies tor interacting with the message broker
3. Use a ConfigMap for Broker Credentials:
- Create a 'ConfigMap' to store sensitive information like the brokers connection string, username, and password.
- Mount this 'ConfigMap' as a volume into the microservice container.
4. Configure Communication with the Broker: - Configure your microservice to connect to the message broker using the credentials from the mounted 'configMap' - Set up a consumer to receive messages from the appropriate queue and a producer to send messages to the required queue. 5. Utilize a Service for Broker Connectivity: - Create a 'Service' of type 'ClusterlP' that exposes the message broker within the Kubernetes cluster. - Ensure that the microservice container can access the broker through this service. 6. Consider a Sidecar Container: - Optionally, you can use a sidecar container to manage communication with the broker. - The sidecar container can act as a proxy or middleware, handling connections, authentication, and other tasks related to message broker communication. 7. Implement Robust Communication: - Implement retries and backoff mechanisms in your code to handle temporary network failures or broker outages. - Consider using a dedicated message broker client library that provides features like message acknowledgement, transaction support, and fault tolerance. Note: This approach ensures reliable communication between the microservice and the message broker. The use of a 'ConfigMap' for credentials, a dedicated service for broker connectivity, and the optional sidecar container contribute to a robust and scalable solution for asynchronous event processing.
NEW QUESTION # 96
You are deploying a new application named 'streaming-services that requires 7 replicas. You want to implement a rolling update strategy that allows for a maximum of two pods to be unavailable at any given time. However, you need to ensure that the update process is triggered automatically whenever a new image is pusned to the Docker Hub repository 'streaming/streaming-service:latest'.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
I). Update the Deployment YAMI-:
- Update the 'replicas' to 7.
- Define 'maxunavailable: 2" and 'maxSurge: (Y in the 'strategy.rollingUpdate' section.
- Configure a 'strategy.types to 'Rollingl_lpdates to trigger a rolling update when the deployment is updated.
- Add a 'spec-template.spec.imagePullPolicy: Always' to ensure that the new image is pulled even if it exists in the pod's local cache.
2. Create the Deployment: - Apply the updated YAML file using 'kubectl apply -f streaming-service-deployment-yamr 3. Verify the Deployment - Check the status of the deployment using 'kubectl get deployments streaming-service-deployment to confirm the rollout and updated replica count. 4. Trigger the Automatic Update: - Push a new image to the 'streaming/streaming-service:latest' Docker Hub repository. 5. Monitor the Deployment - Use 'kubectl get pods -l app=streaming-service' to monitor the pod updates during the rolling update process. You will observe that two pods are terminated at a time, while two new with the updated image are created. 6. Check for Successful Update: - Once the deployment is complete, use 'kubectl describe deployment streaming-service-deployment' to see that the 'updatedReplicas' field matches the 'replicas' field, indicating a successful update.
NEW QUESTION # 97
You are designing a container image for a Java application that utilizes a specific version of Maven. Explain how you would include this Maven version Within tne Docketflle to ensure consistent builds across different environments.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Select Base Image:
- Choose a base image that provides the necessary Java runtime environment (like OpenJDK) and a suitable operating system (e.g., Debian, Ubuntu).
- Example:
dockerflle
FROM openjdk: 11 -jre-slim-buster
2. Install Maven (Specific Version):
- Utilize the instruction to download and install the required Maven version using 'wget' and commands.
- Example:
dockefflle
RUN wget -nv https://apache.org/dyn/closer.lua/maven/maven-3/3.8.6/binaries/apache-maven-3.8.6-bin.tar.gz \
&& tar -xzf apache-maven-3.8.6-bin.tar.gz -C lusr/local \
&& In -s /usr/local/apache-maven-3.8.6/bin/mvn /usr/bin/mvn \
&& rm apache-maven-3.8.6-bin.tar.gz
3. Copy Application Code:
- Copy your Java application code and its 'pom.xmr file to the Docker image-
- Example:
dockerfile
COPY
4. Build Java Application:
- Utilize the 'RUN' instruction to build your Java application using the 'mvn' command.
- Example:
dockeffile
RUN mvn clean package
5. Define Entrypoint (Optional):
- If your application requires specific entrypoint commands, define them in your Docker-file.
- Example:
dockefflle
ENTRYPOINT ["java", "-jar", "target/your-app.jar"]
6. Build and Deploy:
- Build tne Docker image using 'docker build'
- Deploy the image to Kubernetes.
- This ensures that the specific Maven version is used when building your application.
NEW QUESTION # 98 
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:
See the solution below.
Explanation
Solution:
Text Description automatically generated
Text Description automatically generated
NEW QUESTION # 99 
Set Configuration Context:
[student@node-1] $ | kubectl
Config use-context k8s
Context
A pod is running on the cluster but it is not responding.
Task
The desired behavior is to have Kubemetes restart the pod when an endpoint returns an HTTP 500 on the
/healthz endpoint. The service, probe-pod, should never send traffic to the pod while it is failing. Please complete the following:
* The application has an endpoint, /started, that will indicate if it can accept traffic by returning an HTTP 200.
If the endpoint returns an HTTP 500, the application has not yet finished initialization.
* The application has another endpoint /healthz that will indicate if the application is still working as expected by returning an HTTP 200. If the endpoint returns an HTTP 500 the application is no longer responsive.
* Configure the probe-pod pod provided to use these endpoints
* The probes should use port 8080
Answer:
Explanation:
See the solution below.
Explanation:
Solution:
To have Kubernetes automatically restart a pod when an endpoint returns an HTTP 500 on the /healthz endpoint, you will need to configure liveness and readiness probes on the pod.
First, you will need to create a livenessProbe and a readinessProbe in the pod's definition yaml file. The livenessProbe will check the /healthz endpoint, and if it returns an HTTP 500, the pod will be restarted. The readinessProbe will check the /started endpoint, and if it returns an HTTP 500, the pod will not receive traffic.
Here's an example of how you can configure the liveness and readiness probes in the pod definition yaml file:
apiVersion: v1
kind: Pod
metadata:
name: probe-pod
spec:
containers:
- name: probe-pod
image: <image-name>
ports:
- containerPort: 8080
livenessProbe:
httpGet:
path: /healthz
port: 8080
initialDelaySeconds: 15
periodSeconds: 10
failureThreshold: 3
readinessProbe:
httpGet:
path: /started
port: 8080
initialDelaySeconds: 15
periodSeconds: 10
failureThreshold: 3
The httpGet specifies the endpoint to check and the port to use. The initialDelaySeconds is the amount of time the pod will wait before starting the probe. periodSeconds is the amount of time between each probe check, and the failureThreshold is the number of failed probes before the pod is considered unresponsive.
You can use kubectl to create the pod by running the following command:
kubectl apply -f <filename>.yaml
Once the pod is created, Kubernetes will start monitoring it using the configured liveness and readiness probes. If the /healthz endpoint returns an HTTP 500, the pod will be restarted. If the /started endpoint returns an HTTP 500, the pod will not receive traffic.
Please note that if the failure threshold is set to 3, it means that if the probe fails 3 times consecutively it will be considered as a failure.
The above configuration assumes that the application is running on port 8080 and the endpoints are available on the same port.
NEW QUESTION # 100
......
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