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Linux Foundation Kubernetes and Cloud Native Security Associate Sample Questions (Q34-Q39):
NEW QUESTION # 34
Which step would give an attacker a foothold in a cluster butno long-term persistence?
- A. Starting a process in a running container.
- B. Modify file on host filesystem.
- C. Create restarting container on host using Docker.
- D. Modify Kubernetes objects stored within etcd.
Answer: A
Explanation:
* Starting a process in a running containerprovides an attacker withtemporary execution (foothold) inside the cluster, but once the container is stopped or restarted, that malicious process is lost. This means the attacker has nolong-term persistence.
* Incorrect options:
* (A) Modifying objects inetcdgrants persistent access since cluster state is stored in etcd.
* (B) Modifying files on thehost filesystemcan create persistence across reboots or container restarts.
* (D) Creating a restarting container directly on the host via Docker bypasses Kubernetes but persists across pod restarts if Docker restarts it.
References:
CNCF Security Whitepaper - Threat Modeling section: Describes howephemeral processes inside containersprovide attackers short-term control but not durable persistence.
Kubernetes Documentation - Cluster Threat Model emphasizes ephemeral vs. persistent attacker footholds.
NEW QUESTION # 35
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 cloud provider's infrastructure.
- 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 Pod's network traffic.
- D. A container breakout is the process of escaping the container and gaining access to the host operating system.
Answer: D
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 # 36
In a Kubernetes cluster, what are the security risks associated with using ConfigMaps for storing secrets?
- A. Storing secrets in ConfigMaps can expose sensitive information as they are stored in plaintext and can be accessed by unauthorized users.
- B. Storing secrets in ConfigMaps does not allow for fine-grained access control via RBAC.
- C. Using ConfigMaps for storing secrets might make applications incompatible with the Kubernetes cluster.
- D. ConfigMaps store sensitive information in etcd encoded in base64 format automatically, which does not ensure confidentiality of data.
Answer: A
Explanation:
* ConfigMaps are explicitly not for confidential data.
* Exact extract (ConfigMap concept):"A ConfigMap is an API object used to store non- confidential data in key-value pairs."
* Exact extract (ConfigMap concept):"ConfigMaps are not intended to hold confidential data. Use a Secret for confidential data."
* Why this is risky:data placed into a ConfigMap is stored as regular (plaintext) string values in the API and etcd (unless you deliberately use binaryData for base64 content you supply). That means if someone has read access to the namespace or to etcd/APIServer storage, they can view the values.
* Secrets vs ConfigMaps (to clarify distractor D):
* Exact extract (Secret concept):"By default, secret data is stored as unencrypted base64- encoded strings.You canenable encryption at restto protect Secrets stored in etcd."
* This base64 behavior applies toSecrets, not to ConfigMap data. Thus optionDis incorrect for ConfigMaps.
* About RBAC (to clarify distractor A):Kubernetesdoessupport fine-grained RBAC forboth ConfigMaps and Secrets; the issue isn't lack of RBAC but that ConfigMaps arenotdesigned for confidential material.
* About compatibility (to clarify distractor C):Using ConfigMaps for secrets doesn't make apps
"incompatible"; it's simplyinsecureand against guidance.
References:
Kubernetes Docs -ConfigMaps: https://kubernetes.io/docs/concepts/configuration/configmap/ Kubernetes Docs -Secrets: https://kubernetes.io/docs/concepts/configuration/secret/ Kubernetes Docs -Encrypting Secret Data at Rest: https://kubernetes.io/docs/tasks/administer-cluster
/encrypt-data/
Note: The citations above are from the official Kubernetes documentation and reflect the stated guidance that ConfigMaps are fornon-confidentialdata, while Secrets (with encryption at rest enabled) are forconfidential data, and that the 4C's map todefense in depth.
NEW QUESTION # 37
What is the main reason an organization would use a Cloud Workload Protection Platform (CWPP) solution?
- A. To optimize resource utilization and scalability of containerized workloads.
- B. To manage networking between containerized workloads in the Kubernetes cluster.
- C. To protect containerized workloads from known vulnerabilities and malware threats.
- D. To automate the deployment and management of containerized workloads.
Answer: C
Explanation:
* CWPP (Cloud Workload Protection Platform):As defined by Gartner and adopted across cloud security practices, CWPPs are designed tosecure workloads(VMs, containers, serverless functions) in hybrid and cloud environments.
* They providevulnerability scanning, runtime protection, compliance checks, and malware detection.
* Exact extract (Gartner CWPP definition):"Cloud workload protection platforms protect workloads regardless of location, including physical machines, VMs, containers, and serverless workloads. They provide vulnerability management, system integrity protection, intrusion detection and prevention, and malware protection." References:
Gartner: Cloud Workload Protection Platforms Market Guide (summary): https://www.gartner.com/reviews
/market/cloud-workload-protection-platforms
CNCF Security Whitepaper:https://github.com/cncf/tag-security
NEW QUESTION # 38
Which other controllers are part of the kube-controller-manager inside the Kubernetes cluster?
- A. Namespace controller, ConfigMap controller, and Secret controller
- B. Replication controller, Endpoints controller, Namespace controller, and ServiceAccounts controller
- C. Job controller, CronJob controller, and DaemonSet controller
- D. Pod, Service, and Ingress 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 # 39
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