CCCS-203B · Question #241
A financial services company is deploying a Kubernetes cluster to manage highly ephemeral workloads that scale up and down rapidly based on demand. The security team needs a solution that provides…
The correct answer is A. Falcon Cloud Workload Protection (CWP) Sensor for Kubernetes. Option A: This is the correct choice because Falcon CWP is specifically designed for Kubernetes environments, providing visibility into containers, real-time threat detection, and runtime protection. It integrates seamlessly with Kubernetes without impacting ephemeral…
Question
A financial services company is deploying a Kubernetes cluster to manage highly ephemeral workloads that scale up and down rapidly based on demand. The security team needs a solution that provides real-time runtime protection without interfering with the container orchestration process. Which CrowdStrike Falcon sensor would be the most appropriate for this use case?
Options
- AFalcon Cloud Workload Protection (CWP) Sensor for Kubernetes
- BFalcon LogScale for Log Analytics
- CFalcon Sensor for Workstations
- DFalcon Sensor for Windows Servers
How the community answered
(41 responses)- A78% (32)
- B7% (3)
- C12% (5)
- D2% (1)
Explanation
Option A: This is the correct choice because Falcon CWP is specifically designed for Kubernetes environments, providing visibility into containers, real-time threat detection, and runtime protection. It integrates seamlessly with Kubernetes without impacting ephemeral workloads. Option B: Falcon LogScale is focused on centralized logging and event analysis. While it helps with incident investigation, it does not provide active runtime protection for Kubernetes workloads. Option C: This sensor is designed for endpoint security on user devices like laptops and desktops. It does not support Kubernetes-specific security needs such as container introspection and runtime threat detection. Option D: While the Windows server sensor is useful for traditional on-prem and cloud-hosted VMs, it is not optimized for containerized workloads in Kubernetes. It lacks deep container visibility and runtime protection features specific to Kubernetes.
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