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Linux Foundation KCSA Exam Syllabus Topics:
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Linux Foundation Kubernetes and Cloud Native Security Associate Sample Questions (Q49-Q54):
NEW QUESTION # 49
Which other controllers are part of the kube-controller-manager inside the Kubernetes cluster?
- A. Pod, Service, and Ingress controller
- B. Replication controller, Endpoints controller, Namespace controller, and ServiceAccounts controller
- C. Namespace controller, ConfigMap controller, and Secret controller
- D. Job controller, CronJob controller, and DaemonSet controller
Answer: B
Explanation:
* kube-controller-managerruns a set of controllers that regulate the cluster's state.
* Exact extract (Kubernetes Docs):"The kube-controller-manager runs controllers that are core to Kubernetes. Examples of controllers are: Node controller, Replication controller, Endpoints controller, Namespace controller, and ServiceAccounts controller."
* Why D is correct:All listed are actual controllers within kube-controller-manager.
* Why others are wrong:
* A:Job and CronJob controllers are managed by kube-controller-manager, but DaemonSet controller is managed by the kube-scheduler/deployment logic.
* B:Pod, Service, Ingress controllers are not part of kube-controller-manager.
* C:ConfigMap and Secret do not have dedicated controllers.
References:
Kubernetes Docs - kube-controller-manager: https://kubernetes.io/docs/reference/command-line-tools- reference/kube-controller-manager/
NEW QUESTION # 50
In a cluster that contains Nodes withmultiple container runtimesinstalled, how can a Pod be configured to be created on a specific runtime?
- A. By setting the container runtime as an environment variable in the Pod.
- B. By specifying the container runtime in the Pod's YAML file.
- C. By using a command-line flag when creating the Pod.
- D. By modifying the Docker daemon configuration.
Answer: B
Explanation:
* Kubernetes supportsmultiple container runtimeson a node via theRuntimeClassresource.
* To select a runtime, you specify the runtimeClassName field in thePod's YAML manifest. Example:
* apiVersion: v1
* kind: Pod
* metadata:
* name: example
* spec:
* runtimeClassName: gvisor
* containers:
* - name: app
* image: nginx
* Incorrect options:
* (A) You cannot specify container runtime through a kubectl command-line flag.
* (B) Modifying the Docker daemon config does not direct Kubernetes Pods to a runtime.
* (C) Environment variables inside a Pod spec do not control container runtimes.
References:
Kubernetes Documentation - RuntimeClass
CNCF Security Whitepaper - Workload isolation via different runtimes (e.g., gVisor, Kata) for enhanced security.
NEW QUESTION # 51
What mechanism can I use to block unsigned images from running in my cluster?
- A. Configuring Container Runtime Interface (CRI) to enforce image signing and validation.
- B. Using PodSecurityPolicy (PSP) to enforce image signing and validation.
- C. Using Pod Security Standards (PSS) to enforce validation of signatures.
- D. Enabling Admission Controllers to validate image signatures.
Answer: D
Explanation:
* KubernetesAdmission Controllers(particularlyValidatingAdmissionWebhooks) can be used to enforce policies that validate image signatures.
* This is commonly implemented withtools like Sigstore/cosign, Kyverno, or OPA Gatekeeper.
* PodSecurityPolicy (PSP):deprecated and never supported image signature validation.
* Pod Security Standards (PSS):only apply to pod security fields (privilege, users, host access), not image signatures.
* CRI:while runtimes (containerd, CRI-O) may integrate with signature verification tools, enforcement in Kubernetes is generally done viaAdmission Controllersat the API layer.
Exact extract (Admission Controllers docs):
* "Admission webhooks can be used to enforce custom policies on the objects being admitted." (e.g., validating signatures).
References:
Kubernetes Docs - Admission Controllers: https://kubernetes.io/docs/reference/access-authn-authz
/admission-controllers/
Sigstore Project (cosign): https://sigstore.dev/
Kyverno ImageVerify Policy: https://kyverno.io/policies/pod-security/require-image-verification/
NEW QUESTION # 52
What is Grafana?
- A. A cloud-native distributed tracing system for monitoring microservices architectures.
- B. A container orchestration platform for managing and scaling applications.
- C. A platform for monitoring and visualizing time-series data.
- D. A cloud-native security tool for scanning and detecting vulnerabilities in Kubernetes clusters.
Answer: C
Explanation:
* Grafana:An open-source analytics and visualization platform widely used with Prometheus, Loki, etc.
* Exact extract (Grafana Docs):"Grafana is the open-source analytics and monitoring solution for every database. It allows you to query, visualize, alert on, and understand your metrics no matter where they are stored."
* A is wrong:That describesJaeger(distributed tracing).
* B is wrong:That'sKubernetesitself.
* D is wrong:That'sTrivy/Aqua/Prismatype tools.
References:
Grafana Docs: https://grafana.com/docs/grafana/latest/
NEW QUESTION # 53
What kind of organization would need to be compliant with PCI DSS?
- A. Merchants that process credit card payments.
- B. Retail stores that only accept cash payments.
- C. Government agencies that collect personally identifiable information.
- D. Non-profit organizations that handle sensitive customer data.
Answer: A
Explanation:
* PCI DSS (Payment Card Industry Data Security Standard):applies to any entity thatstores, processes, or transmits cardholder data.
* Exact extract (PCI DSS official summary):
* "PCI DSS applies to all entities that store, process or transmit cardholder data (CHD) and
/or sensitive authentication data (SAD)."
* Therefore,merchants who process credit card paymentsmust comply.
* Why others are wrong:
* A: No card payments, so no PCI scope.
* B: This falls underFISMA / NIST 800-53, not PCI DSS.
* C: Non-profits may handle sensitive data, but PCI only applies if they processcredit cards.
References:
PCI Security Standards Council - PCI DSS Summary: https://www.pcisecuritystandards.org/pci_security/
NEW QUESTION # 54
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