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| Section | Weight | Objectives |
|---|---|---|
| Services and Networking | 20% | - Use Ingress rules to expose applications - Demonstrate basic understanding of NetworkPolicies - Provide and troubleshoot access to applications via services |
| Application Environment, Configuration and Security | 25% | - Understanding and defining resource requirements, limits and quotas - ServiceAccounts - Discover and use resources that extend Kubernetes (CRD, Operators) - ConfigMaps and Secrets - SecurityContexts - Understand authentication, authorization and admission control |
| Application Design and Build | 20% | - Choose and use the right workload resource (Deployment, DaemonSet, CronJob, etc.) - Utilize persistent and ephemeral volumes - Define, build and modify container images - Understand multi-container Pod design patterns (e.g., sidecar, init and others) |
| Application Observability and Maintenance | 15% | - Implement probes and health checks - Use built-in CLI tools to monitor Kubernetes applications - Understand API deprecation policies - Debugging in Kubernetes - Utilize container logs |
| Application Deployment | 20% | - Use the Helm package manager to deploy existing packages - Kustomize - Understand Deployments and how to perform rolling updates - Use Kubernetes primitives to implement common deployment strategies (e.g., blue/green or canary) |
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NEW QUESTION # 227
You have a Deployment named 'my-app-deployment' that runs 3 replicas of a Spring Boot application. This application needs to access a PostgreSQL database hosted on your Kubernetes cluster. You need to create a Custom Resource Definition (CRD) to define a new resource called 'Database' to represent the PostgreSQL database instances within your cluster. This CRD should include fields for specifying the database name, username, password, and the host where the database is deployed. Further, you need to configure the 'my- app-deployment' to use the 'Database' resource to connect to the PostgreSQL instance dynamically.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Define the CRD:
- Create a YAML file named 'database.crd.yaml' to define the "Database' resource:
2. the CRD: - Apply tre 'database.cre.yaml' using 'kubectl "ply -f database.crd.ya'mr 3. Create A Database Instance: - 'eate YAML file 'd:tabaseyarnl' to define a database instance
4. Apply the Database Instance: - Apply the 'database.yaml' using 'kubectl apply -f database.yamr 5. IJpdate the Deployment - Update the Amy-app-deployment.yaml' to use the 'Database' resource:
6. Apply the Updated Deployment: - Apply the updated 'my-app-deployment.yamr using 'kubectl apply -f my-app-deployment.yamr 7. Verify the Configuration: - Use 'kubectl get databases to check the database instance. - Use 'kubectl describe pod -l app=my-app' to verify that the pods are using the values from the 'Database' resource tor connecting to the PostgreSQL database. This approach demonstrates how to utilize CRDs to define custom resources in Kubernetes and how to connect applications dynamically to these resources. The CRO ensures proper definition of the database resource, while the deployment utilizes the 'fieldRef mechanism to access and retrieve database connection details directly from the CRD, enabling dynamic configuration and simplification of application setup.,
NEW QUESTION # 228 
Task:
Update the Deployment app-1 in the frontend namespace to use the existing ServiceAccount app.
Answer:
Explanation:
See the solution below.
Explanation
Solution:
Text Description automatically generated
NEW QUESTION # 229
Exhibit:
Context
You sometimes need to observe a pod's logs, and write those logs to a file for further analysis.
Task
Please complete the following;
* Deploy the counter pod to the cluster using the provided YAMLspec file at /opt/KDOB00201/counter.yaml
* Retrieve all currently available application logs from the running pod and store them in the file /opt/KDOB0020l/log_Output.txt, which has already been created
Answer: B
NEW QUESTION # 230 
Task:
A Dockerfile has been prepared at -/human-stork/build/Dockerfile
1) Using the prepared Dockerfile, build a container image with the name macque and lag 3.0. You may install and use the tool of your choice.
2) Using the tool of your choice export the built container image in OC-format and store it at -/human stork
/macque 3.0 tar
Answer:
Explanation:
See the solution below.
Explanation:
Solution:
NEW QUESTION # 231
You nave a Deployment running a web application tnat uses secrets to store sensitive information like database credentials. To improve security, you want to use a secret injection mechanism to provide the secret to the pod without exposing it in the deployment YAML.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a Secret:
- Create a secret containing the sensitive information:
2. Configure Deployment to Use Secret: - Update the Deployment YAML to mount the secret into the container:
3. Apply the Configuration: - Apply tne Secret and Deployment configuration: bash kubectl apply -f my-secret.yaml kubectl apply -f my-web-app-deployment.yaml 4. Verify Secret Injection: - Access the secret information from within the container using environment variables: - For example, '$DATABASE_USERNAME and '$DATABASE PASSWORD'.
NEW QUESTION # 232
......
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