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| Section | Weight | Objectives |
|---|---|---|
| Application Deployment | 20% | - Understand Deployments and how to perform rolling updates - Use Kubernetes primitives to implement common deployment strategies (e.g., blue/green or canary) - Use the Helm package manager to deploy existing packages - Kustomize |
| Application Environment, Configuration and Security | 25% | - ConfigMaps and Secrets - ServiceAccounts - Discover and use resources that extend Kubernetes (CRD, Operators) - SecurityContexts - Understand authentication, authorization and admission control - Understanding and defining resource requirements, limits and quotas |
| Application Observability and Maintenance | 15% | - Implement probes and health checks - Understand API deprecation policies - Use built-in CLI tools to monitor Kubernetes applications - Utilize container logs - Debugging in Kubernetes |
| Services and Networking | 20% | - Use Ingress rules to expose applications - Demonstrate basic understanding of NetworkPolicies - Provide and troubleshoot access to applications via services |
| Application Design and Build | 20% | - 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) - Define, build and modify container images |
あなたはLinux FoundationのCKADの資料を探すのに悩んでいますか。心配しないでください。私たちを見つけるのはあなたのLinux FoundationのCKAD試験に合格する保障からです。数年以来IT認証試験のためのソフトを開発している我々Xhs1991チームは国際的に大好評を博しています。我々はLinux FoundationのCKADのような重要な試験を準備しているあなたに一番全面的で有効なヘルプを提供します。
質問 # 237
Context
Task:
1) Fix any API depreciation issues in the manifest file -/credible-mite/www.yaml so that this application can be deployed on cluster K8s.
2) Deploy the application specified in the updated manifest file -/credible-mite/www.yaml in namespace cobra
正解：
解説：
Solution:
質問 # 238
You are creating a Deployment for a web application that uses a database for its data persistence. You want to scale the deployment horizontally, but you also want to ensure that each pod has access to the same database instance. Explain how you can use a ConfigMap to provide database connection details to each pod.
正解：
解説：
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a ConfigMap:
- Create a ConfigMap that contains the necessary database connection details.
- This includes parameters like host, port, username, password, and database name.
- Example:
2. Mount the ConfigMap: - In your Deployment's 'spec-template-spec-containers' , mount the ConfigMap as a volume. - Example:
3. Access ConfigMap Values: - Within your application's code, use environment variables to access the values from the mounted ConfigMap. - For example, the environment variable 'DB HOST' would be set to the value "database-service" from the ConfigMap. 4. Deploy and Test: - Apply the ConfigMap and Deployment YAML files. - Test the application to confirm that each pod can connect to the same database using the connection details provided by the ConfigMap. 5. Scale the Deployment: - Scale the Deployment horizontally to increase the number of replicas. - Each new pod will automatically inherit the mounted ConfigMap and have access to the same database connection details.
質問 # 239
You must connect to the correct host . Failure to do so may result in a zero score.
[candidate@base] $ ssh ckad00032
The Pod for the Deployment named nosql in the haddock namespace fails to start because its Container runs out of resources.
Update the nosql Deployment so that the Container :
* requests 128Mi of memory
* limits the memory to half the maximum memory constraint set for the haddock namespace See the Explanation below for complete solution.
正解：
解説：
Goal: fix nosql Deployment in haddock so the container stops OOM'ing by setting:
* memory request = 128Mi
* memory limit = half of the namespace's maximum memory constraint
You must do this on the correct host.
0) Connect to the correct host
ssh ckad00032
1) Confirm the failing Deployment / Pods
kubectl -n haddock get deploy nosql
kubectl -n haddock get pods -l app=nosql 2>/dev/null || kubectl -n haddock get pods If pods are crashing, check why (you'll likely see OOMKilled):
kubectl -n haddock describe pod <pod-name>
2) Find the maximum memory constraint set for the haddock namespace
In CKAD labs, this is commonly enforced by a LimitRange (max memory per container). Sometimes it can also be a ResourceQuota.
2A) Check LimitRange (most likely)
kubectl -n haddock get limitrange
kubectl -n haddock get limitrange -o yaml
Extract the max memory value quickly:
MAX_MEM=$(kubectl -n haddock get limitrange -o jsonpath='{.items[0].spec.limits[0].max.memory}') echo "Namespace max memory constraint: $MAX_MEM"
2B) If no LimitRange exists, check ResourceQuota
kubectl -n haddock get resourcequota
kubectl -n haddock describe resourcequota
If quota is used, you're looking for something like limits.memory (but the question wording "maximum memory constraint" usually points to LimitRange max.memory).
3) Compute "half of the max memory constraint"
Run this small snippet to compute HALF in Mi (handles Mi and Gi):
HALF_MEM=$(python3 - <<'PY'
import os, re
q = os.environ.get("MAX_MEM","").strip()
m = re.fullmatch(r"(\d+)(Mi|Gi)", q)
if not m:
raise SystemExit(f"Cannot parse MAX_MEM='{q}'. Expected like 512Mi or 1Gi.") val = int(m.group(1)) unit = m.group(2)
# convert to Mi
mi = val if unit == "Mi" else val * 1024
half_mi = mi // 2
print(f"{half_mi}Mi")
PY
)
echo "Half of max: $HALF_MEM"
Example: if MAX_MEM=512Mi # HALF_MEM=256Mi
Example: if MAX_MEM=1Gi # HALF_MEM=512Mi
4) Update the nosql Deployment (DO NOT delete it)
First, get the container name (Deployment may have a custom container name):
kubectl -n haddock get deploy nosql -o jsonpath='{.spec.template.spec.containers[*].name}{"\n"}' Now set resources (this updates the Deployment in-place):
kubectl -n haddock set resources deploy nosql \
--requests=memory=128Mi \
--limits=memory=$HALF_MEM
5) Ensure the update rolls out successfully
kubectl -n haddock rollout status deploy nosql
6) Verify the pod has the right requests/limits
kubectl -n haddock get deploy nosql -o jsonpath='{.spec.template.spec.containers[0].resources}{"\n"}' kubectl -n haddock get pods Pick the new pod and confirm:
kubectl -n haddock describe pod <new-pod-name> | sed -n '/Requests:/,/Limits:/p' You should see:
* Requests: memory 128Mi
* Limits: memory <HALF_MEM>
If rollout fails (common cause)
If you accidentally set a limit above the namespace max, pods won't start. Check events:
kubectl -n haddock describe deploy nosql
kubectl -n haddock get events --sort-by=.lastTimestamp | tail -n 20
質問 # 240
You are building a microservices application on Kubernetes, where two services, and 'service-b' , need to communicate with each other securely. 'Service-b' needs to expose a secure endpoint that is only accessible by 'service-a'. Describe how you would implement this using Kubernetes resources, including the configuration for the 'service-b' endpoint.
正解：
解説：
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Define a Kubernetes Secret:
- Create a Kubernetes secret to store the certificate and key pair for 'service-W. This secret will be used to secure the communication.
- Example:
2. Configure 'service-b' Deployment: - Define a Deployment for 'service-b' , specifying a container that uses the secret for TLS. - Ensure that the container has the required dependencies and configuration to use TLS. - Example:
3. Define a Kubernetes Service for 'service-b'.' - Create a Service for 'service-b' that exposes the secure endpoint on a specific port (e.g., 8443) and uses the LoadBalancer' type for external access. - Use the 'targetPort' field to specify the container port that 'service-b' is listening on. - Example:
4. Configure 'service-a' Deployment: - Define a Deployment for 'service-a', specifying a container that uses the secret for TLS when connecting to service-W. - Example:
5. Update 'service-a' Container Configuration: - Within the 'service-a' container, ensure the application is configured to use the certificate and key from the mounted volume ('Ivar/tls/') for secure communication with 'service-b'. 6. Verify Secure Communication: - Use 'kubectl get pods' to check the status of both 'service-a' and 'service-W pods. - Test the communication between 'service-a' and 'service-b' by sending requests from the 'service-a' pod to the secure endpoint of 'service-b'. - Verify that the communication is secure and that 'service-a' can successfully access the endpoint. Notes: - You may need to adjust the port numbers and image names in the examples to match your specific setup. - Make sure you have the certificate and key in the correct format and base64 encoded before creating the Secret. - You can also use other methods like a Service Account and Role-Based Access Control (RBAC) to restrict access to the secure endpoint, if needed. - This is a simplified example and additional security measures may be required based on your application's requirements. ,
質問 # 241
You are deploying a resource-intensive application that requires a large amount of memory and CPU. How would you create a ResourceQuota to limit the resources consumed by this application and prevent it from impacting other workloads in the cluster?
正解：
解説：
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
I). Define the ResourceQuota:
- Create a ResourceQuota object named resource-limit' in the namespace where the application is deployed.
- Set the resource limits for the application by specifying the maximum allowed requests for CPU and memory.
- You can also set limits for other resources, such as pods and services.
2. Apply the ResourceQuota: - Apply the ResourceQuota configuration using 'kubectl apply -f resource-limit.yaml' 3. Test the Resource Limits. - Try to create or scale the resource-intensive application beyond the defined limits. - You should receive an error indicating that the ResourceQuota has been exceeded.
質問 # 242
......
現在、試験銀行がシミュレーションテストを提供するような統合システムを持っていることはほとんどありません。 CKAD学習ツールについて学習した後、実際のCKAD試験を刺激することの重要性が徐々に認識されます。この機能により、練習システムがどのように動作するかを簡単に把握し、CKAD試験に関する中核的な知識を得ることができます。さらに、実際の試験環境にいるときは、質問への回答の速度と品質を制御し、エクササイズの良い習慣を身に付けることを学ぶことができます。そのため、CKAD試験に合格できます。
CKAD対応内容: https://www.xhs1991.com/CKAD.html
P.S. Xhs1991がGoogle Driveで共有している無料かつ新しいCKADダンプ：https://drive.google.com/open?id=1WN66Khl8rGOX7Z04bm8rY6ZhQQ1OCLQb