CCCS-203b Exam Dumps - CrowdStrike Certified Cloud Specialist

To notify your team when anew executable is downloaded and executed inside a running container, you must use aruntime-focused triggerin Falcon Fusion. The correct selection isContainer detection > Container runtime detection.

Container runtime detections monitor live container behavior, including process execution, file writes, network activity, and binary downloads. When an executable is introduced and run at runtime, this represents potential malicious activity or policy violation that cannot be detected during image assessment.

Image Assessmenttriggers apply only to pre-runtime image scanning and cannot detect runtime execution.Container drift detectionfocuses on changes to container state relative to the original image but does not specifically target execution-based detections.

CrowdStrike Falcon Cloud Security documentation clearly distinguishes runtime detections as the correct signal source for SOAR automation involving live container behavior. Therefore, the correct trigger configuration isContainer detection > Container runtime detection.

When protecting a Kubernetes endpoint that hosts container workloadswith access to the Linux kernel, CrowdStrike recommends deploying theFalcon Sensor for Linux as a DaemonSet.

This deployment model installs the full Falcon Linux sensor on each Kubernetes worker node using a DaemonSet, ensuring one sensor runs per node. Because the sensor has kernel-level access, it provides deep visibility into system calls, process execution, network activity, and container behavior—delivering robust runtime protection.

TheFalcon Container Sensor for Linuxis used when kernel access is not available (for example, in managed or restricted environments). TheFalcon Operator Container Imagesimplifies lifecycle management but is not itself the sensor. Deploying the standard Falcon Sensor for Linux outside a DaemonSet would not scale correctly in Kubernetes.

Therefore, for Kubernetes environments with kernel access, the correct and CrowdStrike-recommended installation isFalcon Sensor for Linux deployed as a DaemonSet.

InCrowdStrike Falcon Cloud Security, IOAs are categorized usingMITRE ATT&CK-aligned tacticsto help analysts quickly identify attacker objectives. When investigating how a threat actor may havemaintained accessto cloud resources after an initial breach, the appropriate tactic to focus on isPersistence.

Persistence IOAs represent techniques such as creating backdoor IAM roles, modifying access policies, adding API keys, enabling long-lived credentials, or altering cloud configurations to survive reboots or credential rotation. Filtering the IOA dashboard byPersistenceisolates these behaviors, enabling faster root-cause analysis and remediation.

Other filters serve different investigative purposes. Execution focuses on initial code execution, Privilege Escalation highlights elevation of permissions, and Ransomware identifies encryption-related activity. None of these specifically address long-term access maintenance.

Therefore, filtering byPersistenceis the correct and most effective way to identify IOAs related to maintaining access within cloud environments.

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.

InFalcon Cloud Security Network Events, port states reflect how network connections are established and handled at runtime. The platform uses standardized connection state terminology to help analysts understand traffic behavior and intent.

The three valid port states are:

Connect: Indicates an outbound connection attempt initiated by a process or container.

Accept: Represents an inbound connection that was accepted by a listening process.

Listen: Shows that a process is actively listening on a port for incoming connections.

These states provide crucial context for detecting suspicious behavior such as unauthorized listeners, unexpected inbound access, or abnormal outbound communications. Other options include terms not used by Falcon to define port state semantics within Network Events.

Therefore,Connect, Accept, and Listenis the correct answer.

When CrowdStrike Falcon detects cloud credentials—such as AWS access keys—stored in cleartext within a container image, the finding is classified as aSecretdetection. Secrets include sensitive data such as API keys, access tokens, passwords, and cryptographic material embedded in container images, configuration files, or source code.

Falcon Cloud Security performs deep inspection of container images during image assessment to identify hard-coded secrets before those images are deployed into runtime environments. Storing AWS credentials in cleartext represents a critical security risk because attackers who gain access to the image can easily extract and misuse those credentials to access cloud resources.

Whilemisconfigurationsfocus on insecure cloud settings andsuspicious filesrelate to potentially malicious artifacts, secret detections are specifically intended to highlight exposed sensitive information. TheExposed credentialoption may sound similar, but within CrowdStrike’s detection taxonomy for container and image security, these findings are categorized underSecretdetections.

Investigating Secret detections allows security teams to quickly identify where credentials are embedded, rotate compromised keys, and remediate the issue by using secure alternatives such as cloud-native secrets managers or environment-based injection mechanisms. Therefore, the correct detection type to search for isSecret.

When configuring a new image registry connection for aprivately hosted container registryin CrowdStrike Falcon Cloud Security, the required and most critical action is toverify the token and secretused for authentication. Private registries require explicit credentials so Falcon can securely access and assess container images for vulnerabilities, malware, and misconfigurations.

CrowdStrike supports multiple private registry types (such as private Docker registries or cloud-native registries with restricted access). In all cases, Falcon relies on valid authentication credentials—typically a token, username/password, or service account secret—to pull image metadata and layers. If these credentials are incorrect, expired, or misconfigured, image assessment will fail even if the registry connection appears configured.

Other options may be relevant in specific environments but are not universally required at creation time. Registry URLs are validated during setup, and allowlisting IP addresses may be necessary only if strict network controls are in place. Secret expiration checks are a maintenance concern, not a mandatory creation step.

Therefore, the required action when creating a private registry connection is toverify the token and secret.

To automate response actions when a vulnerability is discovered in a container image, CrowdStrike Falcon Fusion uses the triggerKubernetes and containers > Image assessment > Vulnerabilities. This trigger activates when Falcon identifies vulnerabilities during container image scanning and assessment.

Image assessment vulnerabilities occurpre-runtime, making this trigger ideal for shift-left security automation. Actions such as sending notifications, opening tickets, tagging images, or blocking deployments via policy enforcement can be automatically initiated before vulnerable images reach production.

TheContainer detectionstrigger applies to runtime events, not image vulnerabilities.Vulnerabilities user actiontriggers depend on manual interaction and are not suitable for automated detection-driven workflows.

By using the image assessment vulnerability trigger, organizations can integrate Falcon Cloud Security findings directly into CI/CD pipelines and remediation workflows, ensuring faster response and reduced risk exposure.

Therefore, the correct Fusion workflow trigger isKubernetes and containers > Image assessment > Vulnerabilities.