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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Application Environment, Configuration and Security | 25% | - SecurityContexts - ServiceAccounts - Understanding and defining resource requirements, limits and quotas - ConfigMaps and Secrets - Discover and use resources that extend Kubernetes (CRD, Operators) - Understand authentication, authorization and admission control |
| Topic 2: Services and Networking | 20% | - Use Ingress rules to expose applications - Provide and troubleshoot access to applications via services - Demonstrate basic understanding of NetworkPolicies |
| Topic 3: Application Deployment | 20% | - Understand Deployments and how to perform rolling updates - Kustomize - Use the Helm package manager to deploy existing packages - Use Kubernetes primitives to implement common deployment strategies (e.g., blue/green or canary) |
| Topic 4: Application Design and Build | 20% | - Define, build and modify container images - Choose and use the right workload resource (Deployment, DaemonSet, CronJob, etc.) - Utilize persistent and ephemeral volumes - Understand multi-container Pod design patterns (e.g., sidecar, init and others) |
| Topic 5: Application Observability and Maintenance | 15% | - Implement probes and health checks - Utilize container logs - Debugging in Kubernetes - Use built-in CLI tools to monitor Kubernetes applications - Understand API deprecation policies |
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NEW QUESTION # 145
You're building a microservice architecture that uses a load balancer to distribute traffic across multiple instances of a service. You want to implement a health check mechanism that ensures only healthy instances receive traffic. Design a solution using Kubernetes Liveness probes and a service With a health check configuration.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Define a Liveness Probe in the Deployment:
- Replace 'my-service-image:latest' with your service image. - Replace '8080' with the port your service listens on. - Adjust the probe settings as needed. 2. Create a Service with Health Check Configuration:
- 'healthCheckNodePort' is optional, but can be used for external health checks against the service. 3. Apply the YAML Files: - Apply the Deployment and Service using 'kubectl apply -f deployment_yamr and ' kubectl apply -f service.yaml'. 4. Verify the Health Checks: - Check the service logs for liveness probe results. - If a pod becomes unhealthy, it should be restarted by the liveness probe. - You can also use 'kubectl get pods -I app=my-service' to check the pod status. 5. Advanced Configuration: - Use 'exec' or 'httpGet' probes for more complex health check requirements. - Configure the 'failureThreshold' and "successThreshold' to adjust the probe's sensitivity. - Add a 'readinessProbe' to the Deployment for readiness checks that determine when a pod is ready to receive traffic. ,
NEW QUESTION # 146
You are running a web application within a Kubernetes cluster. The application consists of two pods, each with a resource request of 1CPU core and I GiB of memory. However, you've noticed that the application experiences performance issues during peak traffic hours. To mitigate these issues, you decide to implement resource quotas tor the namespace where the application runs. You want to ensure that the application pods receive adequate resources while preventing other applications from consuming excessive resources. Design and implement a resource quota for the namespace that sets limits for CPU and memory resources.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Define the Resource Quota:
- Create a YAML file (e.g., resource-quota.yaml') containing the following resource quota configuration:
2. Apply the Resource Quota: - Apply the resource quota to the 'web-app' namespace using the following command: bash kubectl apply -f resource-quota-yaml 3. Verify the Resource Quota: - Check the status of the resource quota using the following command: bash kubectl get resourcequotas -n web-app You should see the 'web-app-quota' listed with its defined limits and requests. 4. Monitor Resource Usage: - Use the 'kubectl describe resourcequota web-app-quota -n web-apps command to monitor the current resource usage within the 'web-apps namespace- This will show you the consumed resources against the defined limits. 5. Adjust the Resource Quota: - If the resource quota is too restrictive or not restrictive enough, you can adjust the values in the 'requests' and 'limits' fields in the 'resource. quota.yaml file and reapply the resource quota using 'kubectl apply'. - The resource quota limits the total amount of resources (CPU and memory) that can be consumed by all pods in the 'web-app' namespace. - The requests' field specifies the total amount of resources that pods in the namespace can request. - The 'limits' field sets a hard limit on the total amount of resources that pods can use, preventing them from exceeding these limits. - This ensures that the web application has access to the required resources while preventing other applications in the namespace from consuming all available resources. ,
NEW QUESTION # 147
You are running a web application within a Kubernetes cluster. The application consists of two pods, each with a resource request of 1CPU core and I GiB of memory. However, you've noticed that the application experiences performance issues during peak traffic hours. To mitigate these issues, you decide to implement resource quotas tor the namespace where the application runs. You want to ensure that the application pods receive adequate resources while preventing other applications from consuming excessive resources. Design and implement a resource quota for the namespace that sets limits for CPU and memory resources.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Define the Resource Quota:
- Create a YAML file (e.g., resource-quota.yaml') containing the following resource quota configuration:
2. Apply the Resource Quota: - Apply the resource quota to the 'web-app' namespace using the following command: bash kubectl apply -f resource-quota-yaml 3. Verify the Resource Quota: - Check the status of the resource quota using the following command: bash kubectl get resourcequotas -n web-app You should see the 'web-app-quota' listed with its defined limits and requests. 4. Monitor Resource Usage: - Use the 'kubectl describe resourcequota web-app-quota -n web-apps command to monitor the current resource usage within the 'web-apps namespace- This will show you the consumed resources against the defined limits. 5. Adjust the Resource Quota: - If the resource quota is too restrictive or not restrictive enough, you can adjust the values in the 'requests' and 'limits' fields in the 'resource. quota.yaml file and reapply the resource quota using 'kubectl apply'. - The resource quota limits the total amount of resources (CPU and memory) that can be consumed by all pods in the 'web-app' namespace. - The requests' field specifies the total amount of resources that pods in the namespace can request. - The 'limits' field sets a hard limit on the total amount of resources that pods can use, preventing them from exceeding these limits. - This ensures that the web application has access to the required resources while preventing other applications in the namespace from consuming all available resources. ,
NEW QUESTION # 148
You are tasked with designing a multi-container Pod that runs a web application, a database, and a cache server. The application needs to initialize the database before the web server starts. How would you implement this using Kubernetes init containers? Provide a comprehensive YAML configuration for the Pod.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Define Init Container:
- Create an init container named 'db-initializer' with the following:
- Image: Specify the image containing the script to initialize the database (e.g., 'mydatabase/initializer.latest
- Command: Define the command to execute the initialization script.
- VolumeMounts: Mount any necessary volumes from the main container to the init container.
2. Main Container:
- Create a main container named 'webserver' with the following:
- Image: Specify the web server image (e_g_, 'nginx:latest)_
- Pons: Define any ports exposed by the web server.
- VolumeMounts: Mount any necessary volumes (e.g., data volumes).
3. Define Volumes:
- Define any volumes used by the containers (e.g., 'persistentVolumeClaim' for persistent storage).
4. Pod Specification:
- Create a Pod specification with the following:
- Containers: Include both the 'db-initializer' and 'webserver' containers.
- RestartPolicy: Set to 'Always' to ensure that the Pod restarts if a container fails.
- ImagePullSecrets: Add any necessary image pull secrets.
- The initContainers' section specifies the initialization steps to be executed before the main container starts. - The 'db-initializer' container runs the 'database-initializer-sm script to initialize the database. - The 'volumeMounts' ensure that both the 'db-initializer' and 'webserver containers have access to the same database volume. - The ' persistentVolumeClaim' provides a persistent storage for the database data. Remember: - Replace 'mydatabase/initializer:latest and 'nginx:latest' with your actual container images. - Modify the 'database-initializer.sh' script based on your specific database initialization requirements. - Customize the volumes and volume mounts according to your application's needs.]
NEW QUESTION # 149 
Task:
1) Create a secret named app-secret in the default namespace containing the following single key-value pair:
Key3: value1
2) Create a Pod named ngnix secret in the default namespace.Specify a single container using the nginx:stable image.
Add an environment variable named BEST_VARIABLE consuming the value of the secret key3.
Answer:
Explanation:
See the solution below.
Explanation
Solution:
Text Description automatically generated
Text Description automatically generated
NEW QUESTION # 150
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