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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Cluster Hardening | 15% | - Component updates & vulnerability mitigation - Service account security - API access restriction - RBAC configuration |
| Topic 2: Cluster Setup | 15% | - Secure Ingress configuration - Binary verification - Network security policies - CIS benchmark compliance - Node metadata protection |
| Topic 3: Monitoring, Logging and Runtime Security | 20% | - Incident investigation - Container immutability - Audit log configuration - Behavioral analytics - Threat detection (Falco) |
| Topic 4: System Hardening | 10% | - Network access control - Minimize OS attack surface - Least privilege IAM - Kernel hardening (AppArmor, seccomp) |
| Topic 5: Minimize Microservice Vulnerabilities | 20% | - Isolation & multi-tenancy - OPA/Gatekeeper implementation - Pod Security Standards - Security contexts - Secret management |
| Topic 6: Supply Chain Security | 20% | - Image security & scanning - SBOM & CI/CD security - Permitted registries - Static analysis tools - Signed artifacts & verification |
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NEW QUESTION # 61
You are deploying a critical application Within your Kubernetes cluster. The application requires access to sensitive data stored in a secret. You want to implement a policy that ensures only authorized pods can access the secret How can you restrict access to the secret to authorized pods?
Answer:
Explanation:
Solution (Step by Step) :
1. Create a Role and RoIeBinding:
- Define a Role that grants access to the specific secret
- Create a RoleBinding that associates the Role with a ServiceAccount that will be used by authorized pods.
2. Example Implementation:
-
3. Granting Access to a Specific Secret: - If you need to restrict access to a specific secret, add a resourceNameS field to the Role definition. 4. Fine-Grained Access Control: - To control access even more granularly, you can define custom RBAC resources using CRDs and custom validation logic.
NEW QUESTION # 62
You are tasked with securing a Kubernetes cluster that runs a critical application using 'gcr.io/google-samples/hello-app:vl' image. You need to ensure that all deployed containers for this application adhere to strict security policies and prevent any unauthorized modifications.
How would you implement a solution that utilizes KubeLinter to enforce these security policies and prevent unauthorized modifications to the deployed containers?
Provide a step-by-step solution outlining the specific KubeLinter configurations, rules, and integration methods for achieving this security objective.
Answer:
Explanation:
Solution (Step by Step) :
1. Install KubeLinter:
- Install KubeLinter using 'pip install kube-linter'
2. Configure KubeLinter:
- Create a .kube-linter.yamr configuration file in the root directory of your project. This configuration file defines the security policies and rules you want to enforce.
3. Integrate KubeLinter with your CI/CD pipeline: - Use a tool like GitLab Cl, Jenkins, or CircleCl to integrate KubeLinter into your CI/CD pipeline. This ensures that KubeLinter runs automatically whenever a new version of your application is built and deployed.
4. Run KubeLinter: - Run the KubeLinter command: 'kube-linter --config=.kube-linter.yaml --verbose' 5. Interpret and resolve KubeLinter results: - Review the results ot the KubeLinter scan and address any reported violations. This involves modifying the 'deployment-yaml file and container configuration to adhere to the defined security policies. - 'container-image-whitelist rule: This rule enforces whitelisting of container images to ensure only authorized images are deployed. It verifies that all deployed containers use the specified 'gcr.io/google-samples/hello-app:vl' image. 'pod-security-policy' rule: This rule entorces strict Pod Security Policies for all Pods. It ensures containers have appropriate security contexts, including 'fsGroup' and 'runAslJser' settings, to prevent unauthorized access and privilege escalation. - 'privilege-escalation' rule: This rule prevents containers from running with elevated privileges, reducing the risk of potential attacks. - 'host-network' rule: This rule ensures that containers don't access the host network, restricting potential network-based attacks. - 'host-ports' rule: This rule prevents containers from exposing ports on the host network, further limiting the attack surface. By implementing these KubeLinter rules and integrating them into your CI/CD pipeline, you can enforce strong security policies, prevent unauthorized container image modifications, and enhance the security of your Kubernetes cluster.
NEW QUESTION # 63
You have a Kubernetes cluster running a critical application with multiple deployments. You need to ensure that only authorized users can access the application's configuration files stored in ConfigMaps.
Answer:
Explanation:
Solution (Step by Step) :
1. Create a ROE for ConngMap Access:
- Create a Role YAML file named 'configmap-reader.yaml' to grant read-only access to ConfigMaps:
2. Create a RoIeBinding to Assign the Role: - Create a RoleBinding YAML file named 'configmap-reader-binding.yaml' to bind the 'configmap-reader' role to a specific user or group:
3. Apply the Role and RoleBinding: - Apply the YAML files using kubectl apply -f configmap-reader.yaml configmap-reader-binding.yaml 4. Create a ConfigMap: - Create a ConfigMap named 'app-config' that contains sensitive configuration information:
5. Verify Access Restrictions: - Log in as the 'authorized-user and try accessing the 'app-config' ConfigMap using 'kubectl get configmap app-config' _ You should be able to view the ContigMap data. - Log in as a different user who does not have the 'configmap-reader' role assigned. Try accessing the 'app-config' ConfigMap. You should not be able to access it.
NEW QUESTION # 64
You can switch the cluster/configuration context using the following command:
[desk@cli] $ kubectl config use-context test-account
Task: Enable audit logs in the cluster.
To do so, enable the log backend, and ensure that:
1. logs are stored at /var/log/Kubernetes/logs.txt
2. log files are retained for 5 days
3. at maximum, a number of 10 old audit log files are retained
A basic policy is provided at /etc/Kubernetes/logpolicy/audit-policy.yaml. It only specifies what not to log.
Note: The base policy is located on the cluster's master node.
Edit and extend the basic policy to log:
1. Nodes changes at RequestResponse level
2. The request body of persistentvolumes changes in the namespace frontend
3. ConfigMap and Secret changes in all namespaces at the Metadata level Also, add a catch-all rule to log all other requests at the Metadata level Note: Don't forget to apply the modified policy.
Answer:
Explanation:
$ vim /etc/kubernetes/log-policy/audit-policy.yaml
- level: RequestResponse
userGroups: ["system:nodes"]
- level: Request
resources:
- group: "" # core API group
resources: ["persistentvolumes"]
namespaces: ["frontend"]
- level: Metadata
resources:
- group: ""
resources: ["configmaps", "secrets"]
- level: Metadata
$ vim /etc/kubernetes/manifests/kube-apiserver.yaml
Add these
- --audit-policy-file=/etc/kubernetes/log-policy/audit-policy.yaml
- --audit-log-path=/var/log/kubernetes/logs.txt
- --audit-log-maxage=5
- --audit-log-maxbackup=10
Explanation
[desk@cli] $ ssh master1
[master1@cli] $ vim /etc/kubernetes/log-policy/audit-policy.yaml
apiVersion: audit.k8s.io/v1 # This is required.
kind: Policy
# Don't generate audit events for all requests in RequestReceived stage.
omitStages:
- "RequestReceived"
rules:
# Don't log watch requests by the "system:kube-proxy" on endpoints or services
- level: None
users: ["system:kube-proxy"]
verbs: ["watch"]
resources:
- group: "" # core API group
resources: ["endpoints", "services"]
# Don't log authenticated requests to certain non-resource URL paths.
- level: None
userGroups: ["system:authenticated"]
nonResourceURLs:
- "/api*" # Wildcard matching.
- "/version"
# Add your changes below
- level: RequestResponse
userGroups: ["system:nodes"] # Block for nodes
- level: Request
resources:
- group: "" # core API group
resources: ["persistentvolumes"] # Block for persistentvolumes
namespaces: ["frontend"] # Block for persistentvolumes of frontend ns
- level: Metadata
resources:
- group: "" # core API group
resources: ["configmaps", "secrets"] # Block for configmaps & secrets
- level: Metadata # Block for everything else
[master1@cli] $ vim /etc/kubernetes/manifests/kube-apiserver.yaml
apiVersion: v1
kind: Pod
metadata:
annotations:
kubeadm.kubernetes.io/kube-apiserver.advertise-address.endpoint: 10.0.0.5:6443 labels:
component: kube-apiserver
tier: control-plane
name: kube-apiserver
namespace: kube-system
spec:
containers:
- command:
- kube-apiserver
- --advertise-address=10.0.0.5
- --allow-privileged=true
- --authorization-mode=Node,RBAC
- --audit-policy-file=/etc/kubernetes/log-policy/audit-policy.yaml #Add this
- --audit-log-path=/var/log/kubernetes/logs.txt #Add this
- --audit-log-maxage=5 #Add this
- --audit-log-maxbackup=10 #Add this
...
output truncated
Note: log volume & policy volume is already mounted in vim /etc/kubernetes/manifests/kube-apiserver.yaml so no need to mount it. Reference: https://kubernetes.io/docs/tasks/debug-application-cluster/audit/ Note: log volume & policy volume is already mounted in vim /etc/kubernetes/manifests/kube-apiserver.yaml so no need to mount it. Reference: https://kubernetes.io/docs/tasks/debug-application-cluster/audit/
NEW QUESTION # 65
Secrets stored in the etcd is not secure at rest, you can use the etcdctl command utility to find the secret value for e.g:-
Answer: A
Explanation:
Output
Using the Encryption Configuration, Create the manifest, which secures the resource secrets using the provider AES-CBC and identity, to encrypt the secret-data at rest and ensure all secrets are encrypted with the new configuration.
NEW QUESTION # 66
......
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