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What is one purpose of the CrowdStrike Kubernetes Admission Controller?

AForwards Kubernetes event logs to CrowdStrike NG SIEM

BProvides security visibility into EKS, AKS, and self-managed clusters

CMonitors and enforces security policies in any containerized environment
The CrowdStrike Kubernetes Admission Controller is a pre-runtime security control designed to enforce security policies before workloads are allowed to run in a Kubernetes environment. Its primary purpose is to monitor and enforce security policies in any containerized environment by intercepting Kubernetes API requests at admission time.
When a deployment, pod, or container is submitted to the Kubernetes API server, the Admission Controller evaluates the request against Falcon Cloud Security policies. These policies can include rules related to image risk posture, vulnerabilities, malware presence, secrets, or compliance violations. If an image violates defined policies, the Admission Controller can block the deployment, preventing insecure or non-compliant workloads from entering the cluster.
This capability is critical for implementing a shift-left security model, ensuring that threats are stopped before runtime, rather than detected after execution. While Falcon also provides runtime protection and visibility across managed Kubernetes platforms such as EKS and AKS, those capabilities are not the primary function of the Admission Controller itself.
The Admission Controller does not forward Kubernetes logs to SIEM platforms; instead, it acts as an enforcement gate. Therefore, the correct answer is Monitors and enforces security policies in any containerized environment.

Question 2

You have 26 public-facing container images with an ExPRT rating of High and an Easily Accessible Exploited Status. Your internal process for patching vulnerable containers requires weeks per image.

How should you prioritize which vulnerabilities to fix first?

APatch the vulnerabilities with the oldest CVE ID first

BPrioritize remediation based off of CVSS scores

CTake the business offline until all images are patched

DFilter by container running status
When remediation capacity is limited, CrowdStrike Falcon Cloud Security emphasizes risk-based prioritization focused on actual exposure rather than theoretical severity alone.
Filtering vulnerabilities by container running status allows teams to identify which vulnerable images are actively running and exposed, particularly those that are public-facing. Remediating vulnerabilities in running containers first reduces real-world risk immediately, while dormant or unused images can be addressed later.
CVSS scores and CVE age do not account for exploit accessibility or operational exposure. Taking the business offline is impractical and unnecessary when targeted remediation can significantly reduce risk.
Therefore, the correct and CrowdStrike-aligned approach is to filter by container running status, making Option D the correct answer.

Question 3

There is a valid sensor update policy for all Linux hosts that is set to n-2. Some of the hosts have not updated their sensor version.

What is the reason for this situation?

ADaemonSet was used for deployment

BOne-click sensor deployment has not been enabled

CNone of the hosts have been restarted
According to CrowdStrike Falcon documentation regarding Falcon Cloud Security (FCS) and Container Security, the method used to deploy sensors significantly impacts how updates are managed. When Linux hosts are part of a Kubernetes cluster and the Falcon sensor is deployed as a DaemonSet, the standard 'Sensor Update Policy' configured in the Falcon Console does not automatically trigger a version change in the same way it does for a standard Windows or Linux workstation.
In a DaemonSet deployment, the sensor version is typically tied to the specific container image tag or the version defined in the Helm chart or YAML manifest used during deployment. If the manifest specifies a static version or if the orchestration layer (Kubernetes) is not instructed to pull a newer image and rollout a restart of the DaemonSet pods, the hosts will remain on their current version regardless of the 'n-2' policy set in the console.
Furthermore, CrowdStrike documentation notes that for Linux Sensor Update Policies, the 'n-2' setting dictates which version is assigned to the host, but the mechanism of delivery must be supported. In containerized environments, the 'Auto-update' feature is often bypassed by the immutable nature of the deployment. To resolve this, the administrator must update the DaemonSet configuration to point to the newer sensor image, allowing Kubernetes to perform a rolling update across the nodes.

Question 4

In which environment condition does CrowdStrike recommend starting with Phase 1: Initial deployment rather than moving directly to Phase 2: Interim protection?

AHosts in multiple clouds

BPre-existing HIPS suites

CHighly ephemeral workloads

DNo internet connectivity
CrowdStrike recommends starting with Phase 1: Initial deployment when an environment already has pre-existing Host Intrusion Prevention Systems (HIPS) or similar legacy security controls in place. This guidance is based on the need to carefully evaluate compatibility, performance impact, and policy overlap before enabling more advanced protections.
Phase 1 focuses on sensor deployment, baseline visibility, and detection-only monitoring. This approach allows security teams to observe system behavior, identify potential conflicts, and fine-tune policies without immediately enforcing blocking or prevention actions. When legacy HIPS solutions are already active, enabling stronger protections too quickly can lead to false positives, application disruptions, or system instability.
Phase 2: Interim protection is better suited for environments that are cloud-native, highly ephemeral, or already aligned with modern endpoint security practices. However, environments with existing HIPS suites require a more cautious rollout to avoid overlapping controls and duplicated enforcement.
CrowdStrike's phased deployment model ensures a smooth transition by prioritizing stability and operational awareness. Therefore, when pre-existing HIPS suites are present, CrowdStrike documentation and deployment best practices clearly recommend beginning with Phase 1: Initial deployment before progressing to stronger enforcement phases.

Question 5

You are a cloud security analyst concerned about adversaries obtaining admin privileges in your cloud environments.

Which Cloud Identity Analyzer category should you look at first?

ADefense Evasion

BExecution

CPersistence

DPrivilege Escalation
If the primary concern is adversaries obtaining administrator or elevated privileges, the first Cloud Identity Analyzer category to review is Privilege Escalation. This category focuses on techniques and misconfigurations that allow attackers to gain higher-level permissions than initially granted.
Privilege escalation in cloud environments often involves overly permissive IAM roles, abuse of service principals, misconfigured trust relationships, or exploitation of identity federation mechanisms. CrowdStrike Cloud Identity Analyzer maps these behaviors to established attack frameworks and highlights identities that could be abused to gain admin-level access.
Other categories address different stages of the attack lifecycle. Execution focuses on running malicious actions, Persistence on maintaining access, and Defense Evasion on hiding activity. While all are important, privilege escalation represents the most direct path to full environment compromise.
Therefore, the correct starting point is Privilege Escalation.

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