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| Section | Weight | Objectives |
|---|---|---|
| Cloud Attack Path Analysis | 20% | - Identity-based attack vectors - Misconfiguration identification - Compliance and governance risks - Runtime threat detection |
| Cloud Visibility and Monitoring | 20% | - Dashboard interpretation - Log analysis and correlation - Cloud asset inventory - Event monitoring and alerting |
| CrowdStrike Falcon Platform for Cloud | 25% | - Cloud workload protection (CWP) features - Falcon Cloud Security module overview - Sensor deployment and configuration - Container security within Falcon - Falcon Horizon for cloud posture management |
| Remediation and Response | 15% | - Automated remediation workflows - Policy enforcement - Remediation recommendations - Incident response integration |
| Cloud Native Security Concepts | 20% | - Cloud infrastructure entitlements - Kubernetes security concepts - Cloud workload protection fundamentals - Container security basics |
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NEW QUESTION # 122
What Falcon Sensor could be used to provide security for an AWS EKS cluster running on Amazon Linux 2- based EC2 instances, including container-level visibility?
Answer: B
Explanation:
To secure an AWS Elastic Kubernetes Service (EKS) cluster running on Amazon Linux 2-based EC2 instanceswith container-level visibility, CrowdStrike Falcon documentation identifies theFalcon Container Sensor for Linuxas the correct solution. This sensor is part of Falcon Cloud Security and is purpose-built to protect Kubernetes and containerized workloads.
The Falcon Container Sensor for Linux is deployed as a container (commonly as a DaemonSet) on each Kubernetes worker node. It integrates with the underlying Linux kernel to observe container runtime activity while maintaining Kubernetes awareness. This allows CrowdStrike to deliver deep visibility into container processes, file system activity, network connections, and inter-container behavior-capabilities that are not available with host-only sensors.
TheFalcon Sensor for Linuxprotects the EC2 host operating system but does not provide container-aware telemetry or Kubernetes context. TheFalcon Kubernetes Admission Controlleris a pre-runtime control used to enforce image and deployment policies at admission time, not to provide runtime detection.Image Assessment at Runtimeis a feature for evaluating container images and is not a deployable sensor.
Because the requirement explicitly includesruntime protection and container-level visibility within EKS, the Falcon Container Sensor for Linux is the only option that fully satisfies these needs according to CrowdStrike Falcon Cloud Security architecture and documentation.
NEW QUESTION # 123
A security administrator is reviewing their cloud environment's configurations to ensure compliance with the CIS (Center for Internet Security) Benchmarks.
Which of the following actions is most appropriate for identifying compliance gaps with CIS Benchmarks?
Answer: D
Explanation:
Option A: This is the correct answer because automated tools are specifically designed to assess cloud configurations against CIS Benchmarks, providing actionable insights into compliance gaps. These tools are regularly updated to reflect the latest industry benchmarks and significantly reduce human error compared to manual methods.
Option B: This is incorrect because enabling all permissions creates significant security risks, such as privilege escalation and unauthorized access, and violates the principle of least privilege.
It directly contradicts compliance requirements.
Option C: This is incorrect because logging and monitoring are often mandatory components of compliance frameworks like CIS. Disabling them would lead to non-compliance and hinder incident response efforts.
Option D: While manual auditing can be effective, it is time-consuming, prone to human error, and not scalable for dynamic cloud environments. It is better suited as a secondary measure rather than the primary approach.
NEW QUESTION # 124
Which of the following is an example of automated remediation within CrowdStrike's cloud security ecosystem?
Answer: C
Explanation:
Option A: Manual actions do not qualify as automated remediation. Automated remediation would involve dynamic blocking without manual intervention.
Option B: While useful for insights, this is a reporting function and not an automated remediation action. Automated remediation focuses on immediate response to incidents.
Option C: Automated remediation involves taking immediate action, such as isolating a compromised virtual machine, based on predefined triggers. This minimizes the risk of further spread or damage.
Option D: Sending notifications is an alerting function, not remediation. Remediation involves actions that directly address and mitigate the threat.
NEW QUESTION # 125
You want to customize the GKE autopilot policy by updating the detection severity (Critical) and the detection type (CIS benchmark deviation) along with Vulnerability ExPRT.ai severities (Critical).
Which combination will trigger the prevention?
Answer: B
Explanation:
InFalcon Cloud Security, prevention actions are triggered whenall configured enforcement criteriawithin a policy are met. When customizing theGKE Autopilot policy, enforcement requires alignment across vulnerability intelligence, detection severity, and compliance context.
By setting:
* Vulnerability ExPRT.ai severity = Critical
* Detection severity = Critical
* Detection type = CIS benchmark deviation
you ensure that bothrisk-based vulnerability intelligenceandcompliance deviation severitythresholds are satisfied. This combination confirms that the issue is not only severe but also represents a critical deviation from an accepted security benchmark, justifying prevention.
Omitting the detection type or replacing it with image misconfiguration alone does not meet the enforcement logic required for policy-triggered prevention.
Therefore,Option Cis the correct combination that triggers prevention.
NEW QUESTION # 126
Which of the following is a requirement for enabling the Kubernetes Admission Controller for the CrowdStrike Kubernetes and Container Sensor?
Answer: B
Explanation:
Option A: The Kubernetes Admission Controller requires appropriate RBAC permissions to function correctly. These permissions allow it to validate and enforce policies by intercepting and potentially modifying API requests to the Kubernetes API server. Without the correct RBAC configuration, the Admission Controller cannot enforce security controls or policies effectively.
Option B: While annotations might be used for other configuration purposes, they are not a requirement for enabling the Admission Controller.
Option C: This is incorrect because Admission Controllers are not CRDs. They are built-in or webhook-based components of Kubernetes.
Option D: This is incorrect as Admission Controllers operate at the API level and have no dependency on the host operating system kernel.
NEW QUESTION # 127
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