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| Section | Weight | Objectives |
|---|---|---|
| Application Deployment | 20% | - Manage Deployments, rolling updates and rollbacks - Work with Kustomize - Implement deployment strategies - Use Helm package manager |
| Services and Networking | 20% | - Understand and apply NetworkPolicies - Use Ingress rules - Troubleshoot network access - Expose applications via Services |
| Application Observability and Maintenance | 15% | - Implement probes and health checks - Work with container logs - Understand API deprecations - Debug applications in Kubernetes - Monitor applications using CLI tools |
| Application Environment, Configuration and Security | 25% | - Use custom resources and extensions - Configure resource requirements, limits and quotas - Create and consume Secrets - Apply application security settings - Understand authentication, authorization and admission control - Work with ConfigMaps - Use ServiceAccounts |
| 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 |
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NEW QUESTION # 210
You are running a web application with two replicas. You need to ensure that there is always at least one replica available while updating the application. You also need to have a maximum of two replicas during the update. How would you configure a rolling update strategy for your Deployment?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Llpdate the Deployment YAMLI
- Define 'strategy.type' to 'Rollingupdate' to trigger a rolling update when the deployment is updated.
- Update the 'replicas' to 2 to start with.
- Set 'maxi-Jnavailable' to to ensure at least one pod remains running during the update.
- Set 'maxSurge' to to allow for a maximum of two replicas during the update.
2. Create or Llpdate the Deployment - Apply the updated YAML file using 'kubectl apply -f my-app-deploymentyamr - If the deployment already exists, Kubernetes will update it with the new configuration- 3. Trigger the Update: - Update the image of your application to a newer version. - You can trigger the update by pushing a new image to your container registry. 4. Monitor the Update: - Use 'kubectl get pods -l app=my-apps to monitor the pod updates during the rolling update process. - Observe the pods being updated one at a time, ensuring that there's always at least one replica available. 5. Check for Successful Update: - Once the update is complete, use 'kubectl describe deployment my-app' to verify that the 'updatedReplicas' field matches the 'replicas field.
NEW QUESTION # 211
You have a microservice that is deployed in a Kubernetes cluster, and you want to monitor its performance and health using Prometheus and Grafan a. How can you configure Prometneus to scrape metrics from your microservice and create dashboards in Grafana?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Enable Metrics in Your Microservice:
- Ensure your microservice exposes metrics through an HTTP endpoint using a library like Prometheus Client (for Java), Go metrics, or StatsD.
- Define metrics such as request count, latency, error rate, and other relevant performance indicators.
2. Deploy Prometheus:
- Deploy Prometheus using a 'Deployment and a 'Service'
- Configure Prometheus to scrape metrics trom the microservice by adding its endpoint to the 'scrape_configs' in the 'prometheus.yaml' file.
3. Create a Service for Prometheus to Access the Microservice: - Create a 'Service' of type 'ClusterlP' that exposes the microservice's metrics endpoint (usually port 9100). - Ensure Prometheus can reacn this service. 4. Deploy Grafana: - Deploy Gratana using a 'Deployment' and a 'Service' - Configure Grafana to connect to Prometheus as a data source. 5. Create Dashboards in Grafana: - Use Grafana's dashboard builder to create custom dashboards that visualize the metrics collected by Prometheus. - Add panels to display graphs, charts, and tables that show the performance and health ot your microservice. 6. Configure Alerts in Grafana: - Configure alerts in Grafana based on specific metrics and thresholds. - Set up notifications to alert you when critical issues arise with the microservice. Note: This approach provides comprehensive monitoring for your microservice. Prometheus scrapes metrics from the microservice, stores them in its time series database, and Grafana visualizes these metrics and provides alerts for potential issues. Example Prometheus Scrape Configuration:
Example Grafana Dashboard: - Create a dashboard with panels that show the following metrics: - Request count per minute - Average request latency - Error rate - CPU and memory usage of the microservice container - Set up alerts to notify you it: - The request count exceeds a certain threshold - The average latency exceeds a certain threshold - The error rate exceeds a certain threshold - The CPU or memory usage exceeds a certain threshold,
NEW QUESTION # 212
You have a Kubernetes cluster With several deployments using secrets for sensitive information. You need to implement a mechanism to ensure that these secrets are rotated regularly to enhance security. Explain how you can achieve this using Kubernetes native features, and provide a detailed example demonstrating the process of secret rotation for a deployment called "myapp" which utilizes a secret named "myapp-secret".
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a Secret Rotation Job:
- Define a CronJob:
- This job will be scheduled to run periodically to trigger the secret rotation process.
- In the CronJob definition, specify the desired schedule (e.g., daily, weekly, monthly) using a cron expression.
2. Update Deployment to Use New Secret: - Modify the Deployment Configuration: - Update the Deployment YAML tile of "myapp" to utilize the newly generated secret. - Replace the old secret name with the new secret name.
3. Apply the Changes: - Run the Update Commands: - Apply the CronJ0b definition using kubectl apply -f myapp-secret-rotator.yamr - Apply the updated Deployment configuration using 'kubectl apply -f myapp-deployment.yamr. 4. Verification: - Monitor tne CronJob and Deployment: - Use ' kubectl get cronjobs myapp-secret-rotator' to confirm the CronJob is running and triggering the rotation. - Monitor the 'myapp' Deployment to ensure the pods are utilizing the newly generated secret using 'kubectl get pods -l app=myapp' - Observe the output of the Deployment to verifry the rotation is successful. Key Points: - Secret Rotation Logic: The CronJob runs a script that deletes the old secret ( ' myapp-secret) and creates a new secret with updated credentials. - Deployment Update: The Deployment is updated to use tne new secret, ensuring tne application uses the latest credentials. - Automated Process: This approach automates the secret rotation process, eliminating manual intervention and enhancing security. This example demonstrates how to implement automated secret rotation for deployments using Kubernetes. You can modify the script in the CronJob and the deployment configuration to suit your specific environment and credential management needs. ,
NEW QUESTION # 213 
Context
A web application requires a specific version of redis to be used as a cache.
Task
Create a pod with the following characteristics, and leave it running when complete:
* The pod must run in the web namespace.
The namespace has already been created
* The name of the pod should be cache
* Use the Ifccncf/redis image with the 3.2 tag
* Expose port 6379
Answer:
Explanation:
See the solution below.
Explanation
Solution:
NEW QUESTION # 214
You are running a critical application on Kubernetes, and your security team has mandated the use of Pod Security Policies (PSPs) to enhance the security posture of your cluster. You have a Deployment that uses a privileged container for certain tasks. However, PSPs restrict the use of privileged containers. Describe how you can address this challenge while adhering to the security requirements imposed by PSPs.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Identify the Privileged Container Tasks: Analyze your Deployment and identify the specific tasks performed by the privileged container. These tasks might involve accessing host resources like devices, manipulating network settings, or interacting with the host kernel directly.
2. Explore Alternative Solutions: Instead of relying on privileged containers, consider alternative approaches to achieve the desired functionality:
- Host Network: If the task requires direct network access, consider using the 'hostNetwork' feature. This grants the container access to the host's network stack but doesn't require privileged mode.
- HostPath Volumes: If the task involves accessing host files or directories, mount them into the container using 'hostPath' volumes.
- SecurityContext: Explore the 'securityContext' options for containers. Options like 'capabilities' can grant limited access to specific host resources.
- Dedicated Service Account: Assign a dedicated Service Account to the Deployment with limited permissions, ensuring the container can only access the required resources.
3. Implement PSP with Allowlist:
- Create a PSP that defines a restricted set of security rules. This PSP should allow:
- The specific tasks that require privileged operations.
- Other essential security measures like restricting host network access, SELinux, and AppArmor configurations.
- Apply the PSP to the namespace where your Deployment is running.
4. Update Deployment: Modify your Deployment configuration to utilize the alternative solutions identified in step 2.
- Replace the privileged container with a non-privileged container.
- Utilize 'hostNetwork', 'hostPatW volumes, or 'securityContext' options as needed.
- Ensure the Deployment is properly configured to use the dedicated Service Account.
5. Test and Validate: Verify that the modified Deployment functions as expected and that the chosen alternative solutions meet the original requirements. Additionally, ensure that the PSP is enforcing the desired security policies.
Example:
Original Deployment (with privileged container):
Modified Deployment (using host network):
PSP with allowlist:
Note: This example illustrates one approach to address the challenge. The specific solution will depend on the nature of the privileged container tasks and the security requirements enforced by your PSP. It's essential to thoroughly understand your application's needs and implement the appropriate security measures to ensure both security and functionality. ,
NEW QUESTION # 215
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