What is the CCCS-203b certification exam?

The CCCS-203b is a CrowdStrike Certified Cloud Specialist certification exam that validates expertise in cloud security and the CrowdStrike platform. It covers cloud architecture, threat detection, incident response, and CrowdStrike Falcon's cloud-native capabilities.

What are the prerequisites for taking the CCCS-203b exam?

While CrowdStrike recommends having hands-on experience with cloud platforms and security concepts, there are no strict formal prerequisites. However, candidates should have foundational knowledge of cloud computing, cybersecurity principles, and ideally some experience with the CrowdStrike Falcon platform.

How long is the CCCS-203b exam and how many questions does it contain?

The CCCS-203b exam typically consists of multiple-choice questions and is designed to be completed within a specific timeframe, generally around 90 minutes. The exact number of questions and duration may vary, so candidates should check the official CrowdStrike certification website for the most current details.

What topics are covered on the CCCS-203b exam?

The exam covers cloud security fundamentals, CrowdStrike Falcon platform features, cloud architecture and deployment models, threat detection and response in cloud environments, and compliance considerations. It also includes practical scenarios related to managing security in multi-cloud and hybrid environments.

How should I prepare for the CCCS-203b certification exam?

CrowdStrike offers official training courses, documentation, and study guides to help candidates prepare for the exam. Additionally, gaining hands-on experience with the Falcon platform, reviewing cloud security best practices, and taking practice tests can significantly improve your chances of passing the certification exam.

Free CrowdStrike CCCS-203b Exam Questions

Q1 MultipleChoice

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?

AVulnerability ExPRT.ai severities (Critical), Detection severity (Critical)

BVulnerability ExPRT.ai severities (Critical), Detection severity (Critical), Image misconfigurations

CVulnerability ExPRT.ai severities (Critical), Detection severity (Critical), Detection type (CIS benchmark deviation)
In Falcon Cloud Security, prevention actions are triggered when all configured enforcement criteria within a policy are met. When customizing the GKE 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 both risk-based vulnerability intelligence and compliance deviation severity thresholds 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 C is the correct combination that triggers prevention.

Correct Answer: C

Q2 MultipleChoice

How can unassessed images be a security concern in your cloud environment?

AThey are actively running in your environment but have not been checked for vulnerabilities

BThey are actively running in your environment but do not have the Falcon Container Sensor installed

CThey are in one of your connected image registries but have never been actively running in your environment

DThey are in one of your connected image registries but have not been checked for vulnerabilities
Unassessed images pose a security risk because they exist in connected image registries but have not been evaluated for vulnerabilities. Even if they are not currently running, these images can be deployed at any time, potentially introducing critical vulnerabilities, secrets, or malware into production environments.
Falcon Cloud Security emphasizes proactive image assessment to ensure risks are identified before deployment. Unassessed images represent blind spots where vulnerabilities may go unnoticed until runtime, increasing exposure and response time.
Options describing actively running containers are incorrect because running workloads are typically assessed through runtime sensors. The primary concern with unassessed images is their unknown risk posture prior to use.
Therefore, the correct answer is They are in one of your connected image registries but have not been checked for vulnerabilities.

Correct Answer: D

Q3 MultipleChoice

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.

Correct Answer: A

Q4 MultipleChoice

What criteria can you use to create exclusions for cloud scans?

AAccount

BRegion

CService

DTag
In CrowdStrike Falcon Cloud Security, exclusions for cloud scans are designed to be precise and scalable so that organizations can safely reduce noise without weakening overall security coverage. According to CrowdStrike best practices, tags are the recommended and supported criterion for creating cloud scan exclusions.
Tags are metadata labels applied to cloud resources (such as AWS accounts, instances, or services) and are commonly used for ownership, environment classification (for example, dev, test, or prod), or application grouping. By using tags as exclusion criteria, security teams can dynamically control which resources are excluded from scans without relying on static identifiers. This is especially important in cloud environments where resources are frequently created, modified, or terminated.
Exclusions based on accounts, regions, or services are broader in scope and can unintentionally exclude large portions of the environment, increasing the risk of blind spots. Tag-based exclusions allow CrowdStrike Falcon to maintain least-privilege security principles by excluding only explicitly labeled resources.
Because Falcon continuously evaluates cloud resources, tag-based exclusions automatically apply to newly created assets that inherit the same tag, ensuring consistent policy enforcement. For these reasons, CrowdStrike documentation and operational guidance identify Tag as the correct and most effective criterion for creating cloud scan exclusions.

Correct Answer: D

Q5 MultipleChoice

You want to block privileged containers from being executed in your Kubernetes cluster.

What sensor type should you deploy?

AKubernetes Protection Agent

BKubernetes Sensor

CKubernetes Image Assessment at Runtime

DKubernetes Admission Controller
To block privileged containers before they are executed, CrowdStrike recommends deploying the Kubernetes Admission Controller. This component operates at admission time, intercepting Kubernetes API requests and enforcing security policies before workloads are allowed to run.
Privileged containers represent a significant security risk because they can bypass isolation boundaries and access host resources. The Kubernetes Admission Controller can enforce policies that explicitly deny deployments using privileged flags, hostPath mounts, or other high-risk configurations.
Other options do not provide enforcement. Runtime sensors and agents can detect or alert on risky behavior after execution, but they cannot prevent the workload from starting. Image assessment evaluates image content but does not enforce Kubernetes runtime constraints.
Therefore, to proactively block privileged containers, the correct and CrowdStrike-recommended solution is the Kubernetes Admission Controller.

Correct Answer: D

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