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KCSA Exam Demo - 100% Pass Quiz Linux Foundation - First-grade KCSA - Linux Foundation Kubernetes and Cloud Native Security Associate Questions

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Linux Foundation Kubernetes and Cloud Native Security Associate Sample Questions (Q38-Q43):

NEW QUESTION # 38
Which of the following statements correctly describes a container breakout?

A. A container breakout is the process of escaping the container and gaining access to the Pod's network traffic.
B. A container breakout is the process of escaping a container when it reaches its resource limits.
C. A container breakout is the process of escaping the container and gaining access to the host operating system.
D. A container breakout is the process of escaping the container and gaining access to the cloud provider's infrastructure.

Answer: C

Explanation:
* Container breakoutrefers to an attacker escaping container isolation and reaching thehost OS.
* Once the host is compromised, the attacker can accessother containers, Kubernetes nodes, or escalate further.
* Exact extract (Kubernetes Security Docs):
* "If an attacker gains access to a container, they may attempt a container breakout to gain access to the host system."
* Other options clarified:
* A: Network access inside a Pod # breakout.
* B: Resource exhaustion is aDoS, not a breakout.
* C: Cloud infrastructure compromise is possibleafterhost compromise, but not the definition of breakout.
References:
Kubernetes Security Concepts: https://kubernetes.io/docs/concepts/security/ CNCF Security Whitepaper (Threats section):https://github.com/cncf/tag-security

NEW QUESTION # 39
When should soft multitenancy be used over hard multitenancy?

A. When the priority is enabling fine-grained control over tenant resources.
B. When the priority is enabling strict security boundaries between tenants.
C. When the priority is enabling complete isolation between tenants.
D. When the priority is enabling resource sharing and efficiency between tenants.

Answer: D

Explanation:
* Soft multitenancy(Namespaces, RBAC, Network Policies) # assumes some level of trust between tenants, focuses onresource sharing and efficiency.
* Hard multitenancy(separate clusters or strong virtualization) # strict isolation, used when tenants are untrusted.
* Exact extract (CNCF TAG Security Multi-Tenancy Whitepaper):
* "Soft multi-tenancy refers to multiple workloads running in the same cluster with some trust assumptions. It provides resource sharing and operational efficiency. Hard multi- tenancy requires stronger isolation guarantees, typically separate clusters." References:
CNCF Security TAG - Multi-Tenancy Whitepaper:https://github.com/cncf/tag-security/tree/main/multi- tenancy

NEW QUESTION # 40
A Kubernetes cluster tenant can launch privileged Pods in contravention of therestricted Pod Security Standardmandated for cluster tenants and enforced by the built-inPodSecurity admission controller.
The tenant has full CRUD permissions on the namespace object and the namespaced resources. How did the tenant achieve this?

A. By using higher-level access credentials obtained reading secrets from another namespace.
B. By deleting the PodSecurity admission controller deployment running in their namespace.
C. By tampering with the namespace labels.
D. The scope of the tenant role means privilege escalation is impossible.

Answer: C

Explanation:
* ThePodSecurity admission controllerenforces Pod Security Standards (Baseline, Restricted, Privileged)based on namespace labels.
* If a tenant has full CRUD on the namespace object, they canmodify the namespace labelsto remove or weaken the restriction (e.g., setting pod-security.kubernetes.io/enforce=privileged).
* This allows privileged Pods to be admitted despite the security policy.
* Incorrect options:
* (A) is false - namespace-level access allows tampering.
* (C) is invalid - PodSecurity admission is not namespace-deployed, it's a cluster-wide admission controller.
* (D) is unrelated - Secrets from other namespaces wouldn't directly bypass PodSecurity enforcement.
References:
Kubernetes Documentation - Pod Security Admission
CNCF Security Whitepaper - Admission control and namespace-level policy enforcement weaknesses.

NEW QUESTION # 41
An attacker has successfully overwhelmed the Kubernetes API server in a cluster with a single control plane node by flooding it with requests.
How would implementing a high-availability mode with multiple control plane nodes mitigate this attack?

A. By distributing the workload across multiple API servers, reducing the load on each server.
B. By implementing network segmentation to isolate the API server from the rest of the cluster, preventing the attack from spreading.
C. By implementing rate limiting and throttling mechanisms on the API server to restrict the number of requests allowed.
D. By increasing the resources allocated to the API server, allowing it to handle a higher volume of requests.

Answer: A

Explanation:
* Inhigh-availability clusters, multiple API server instances run behind a load balancer.
* Thisdistributes client requests across multiple API servers, preventing a single API server from being overwhelmed.
* Exact extract (Kubernetes Docs - High Availability Clusters):
* "A highly available control plane runs multiple instances of kube-apiserver, typically fronted by a load balancer, so that if one instance fails or is overloaded, others continue serving requests."
* Other options clarified:
* A: Network segmentation does not directly mitigate API server DoS.
* C: Adding resources helps, but doesn't solve single-point-of-failure.
* D: Rate limiting is a valid mitigation but not provided by HA alone.
References:
Kubernetes Docs - Building High-Availability Clusters: https://kubernetes.io/docs/setup/production- environment/tools/kubeadm/high-availability/

NEW QUESTION # 42
In order to reduce the attack surface of the Scheduler, which default parameter should be set to false?

A. --scheduler-name
B. --secure-kubeconfig
C. --bind-address
D. --profiling

Answer: D

Explanation:
* Thekube-schedulerexposes aprofiling/debugging endpointwhen --profiling=true (default).
* This can unnecessarily increase the attack surface.
* Best practice: set --profiling=false in production.
* Exact extract (Kubernetes Docs - kube-scheduler flags):
* "--profiling (default true): Enable profiling via web interface host:port/debug/pprof/."
* Why others are wrong:
* --scheduler-name: just identifies the scheduler, not a security risk.
* --secure-kubeconfig: not a valid flag.
* --bind-address: changing it limits exposure but is not the default risk parameter for profiling.
References:
Kubernetes Docs - kube-scheduler options: https://kubernetes.io/docs/reference/command-line-tools- reference/kube-scheduler/

NEW QUESTION # 43
......

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