Pass the CrowdStrike Certified Cloud Specialist CCCS-203b Questions and answers with Dumpstech

When using theFalcon Kubernetes Admission Controller, CrowdStrike allows administrators to precisely scope which Kubernetes assets are evaluated againstIndicators of Misconfiguration (IOMs)andImage Assessment policiesby usingboth namespaces and pod or service labels.

Namespaces provide a logical boundary within Kubernetes clusters, often representing environments such as dev, staging, or production. Labels add further granularity by identifying workloads based on application, team ownership, or deployment tier. By combining namespaces and labels, security teams can enforce policies with fine-grained control while minimizing unintended enforcement.

Using only namespaces or only labels limits flexibility and may lead to over- or under-enforcement. CrowdStrike documentation supports the combined approach as a best practice for scalable and precise policy enforcement in Kubernetes environments.

Therefore, the correct answer isNamespaces and Pod or Service labels.

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.

When creating animage groupin CrowdStrike Falcon Cloud Security, valid attributes must align with how container images are uniquely identified and organized. The supported attributes includerepository and image tags, which together allow precise grouping of related images.

Therepositorydefines the image namespace or project within a registry, whileimage tagsrepresent versions or variants such as latest, prod, or semantic versions. Using these attributes enables security teams to target policies and assessments consistently across image versions without relying on static names.

Options involvingimage nameare incorrect because Falcon does not use a standalone image name field for grouping. Image identity is derived from registry, repository, and tag combinations. Registry can be used in some grouping contexts, but for image groups specifically, repository and tag are the valid selectable attributes.

Therefore, the correct answer isRepository and Image tags.

Drift indicators in the Containers dashboard are used to identify containers performing activity that deviates from their original image configuration. Drift occurs when files, binaries, or processes appear in a running container that were not present in the image at build time.

CrowdStrike Falcon Cloud Security tracks this behavior to help identify compromised containers, unauthorized changes, or violations of immutability principles. Drift indicators are especially valuable in production environments where containers are expected to remain unchanged after deployment.

Alerts and container detections may signal malicious behavior, but drift indicators specifically highlight unexpected changes relative to the image baseline. Therefore, the correct answer is Drift indicators.

Cloud Groups in CrowdStrike Falcon Cloud Security are designed to logically segment cloud resources so users can focus only on what is relevant to their role or responsibility. The primary way cloud groups reduce noise is bynarrowing a user’s scope of analysis through filtered cloud resources.

By grouping resources based on criteria such as account, region, service, or tags, Cloud Groups ensure that analysts and responders only see findings related to the resources they own or manage. This minimizes alert fatigue, reduces unnecessary exposure to unrelated findings, and improves investigation efficiency.

Cloud Groups do not assign permissions directly; permissions are managed through Falcon RBAC roles. They also do not primarily function as exclusion mechanisms—although exclusions may be applied, their core purpose is scoping and contextualization.

CrowdStrike best practices emphasize Cloud Groups as a way to align security visibility with organizational structure, enabling teams to operate more efficiently and responsibly. Therefore, the correct answer isNarrow a user’s scope of analysis by filtering cloud resources.

CrowdStrike Falcon Cloud Security supportsscheduled reportingas the preferred mechanism for automatically distributing security findings to stakeholders who may not have direct access to the Falcon console. When container vulnerabilities need to be reviewed on aweekly basis, the correct and most operationally efficient approach is tocreate a scheduled report covering the last 7 days.

Scheduled reports can be configured to run automatically and delivered via email to designated recipients, including users without Falcon console access. This makes them ideal for cross-functional teams, auditors, or management who require regular visibility into container risk without interactive access.

UsingAdvanced Event Searchrequires console access and manual execution, which does not meet the requirement for automatic distribution. Dashboards also require console access and cannot be securely shared externally. A 24-hour report would not align with the stated weekly review cadence and could result in incomplete visibility.

CrowdStrike documentation and best practices recommend scheduled reports for recurring compliance, vulnerability, and risk reporting use cases. Therefore, the correct solution is tocreate a scheduled report to list vulnerable container data from the last 7 days.

If the primary concern is adversaries obtainingadministrator or elevated privileges, the first Cloud Identity Analyzer category to review isPrivilege 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.Executionfocuses on running malicious actions,Persistenceon maintaining access, andDefense Evasionon hiding activity. While all are important, privilege escalation represents the most direct path to full environment compromise.

Therefore, the correct starting point isPrivilege Escalation.

The CrowdStrike Kubernetes Admission Controller is apre-runtime security controldesigned to enforce security policiesbefore workloads are allowed to runin a Kubernetes environment. Its primary purpose is tomonitor and enforce security policies in any containerized environmentby 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 ashift-left security model, ensuring that threats are stoppedbefore 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 isMonitors and enforces security policies in any containerized environment.

The most efficient and CrowdStrike-recommended way to stop seeing vulnerabilities for older images is to use the“Stop assessing images older than (number) of days”setting in Image Assessment configuration.

This setting prevents Falcon Cloud Security from continuing to assess images beyond a defined age threshold—90 days in this case. By stopping assessment at the source, Falcon reduces noise, conserves assessment capacity, and focuses findings on images that are actively used or likely to be deployed.

Other approaches are inefficient or risky. Fusion workflows and manual hiding add operational overhead and do not stop assessments from occurring. Deleting images from registries may disrupt workflows and is outside Falcon’s control.

CrowdStrike best practices favorassessment-scoping controlsover post-processing suppression. Therefore, the correct answer isUse the Stop assessing images older than (number) of days setting.

Falcon Cloud Security categorizes IOAs usingMITRE ATT&CK tactics and techniques, enriched withcloud-provider contextto accurately represent cloud-native attack behavior.

To identifyDefense Evasion via Impair Defenses: Disable or Modify Toolsactivity specifically withinAzure, analysts must filter IOAs usingMITRE Tactic and Techniquewhile also scoping the environment to thecloud provider. This ensures visibility into attacker behaviors such as disabling logging, modifying security services, or impairing monitoring controls at the cloud-provider level.

Filtering by attack type alone lacks the structured MITRE mapping required for accurate investigative workflows. Service-level filters are insufficient because impairment of defenses in cloud environments often impacts provider-managed services rather than individual workloads.

Therefore,MITRE Tactic and Technique – Cloud provideris the correct and most precise filter to identify Azure-specific defense evasion IOAs.