Free Practice Questions for CrowdStrike CCCS-203b Exam

The secure and recommended approach to validate whether firewall restrictions are causing CSPM failures is toconfirm that CrowdStrike’s documented IP addresses are allowlisted. Falcon Cloud Security relies on outbound API connectivity to cloud providers, and blocked traffic can disrupt asset inventory collection and IOM detection even if registration succeeds.

CrowdStrike publishes required IP ranges and endpoints for each cloud region. Verifying firewall rules against this documentation is alow-risk, best-practice troubleshooting stepthat preserves security controls while validating connectivity assumptions.

Opening firewalls broadly is insecure and unnecessary, and dismissing firewall-related causes without verification can delay resolution. Therefore, the correct answer isCheck that you have allowlisted the IP addresses provided in the public-facing CrowdStrike documentation.

Visibility intoAWS IAM controls, includingrestricted use of AWS CloudShell (CIS IAM 1.20), is provided throughCrowdStrike Falcon Cloud Security posture managementusingIndicators of Misconfiguration (IOMs). These checks continuously evaluate cloud resources againstindustry-standard benchmarks, including theCIS Foundations Benchmarks for AWS, Azure, and Google Cloud.

CrowdStrike maintainsprebuilt, managed IOM policiesthat are automatically updated to reflect the latest CIS guidance. Leveraging existing IOM policies ensures immediate coverage without the operational risk or overhead of creating and maintaining custom rules. These policies assess IAM configurations, permissions usage, service access controls, and policy enforcement related to CloudShell usage.

IOAs are designed for runtime behavioral detections and are not suitable for posture or configuration validation. Creating custom IOMs is unnecessary for CIS-aligned controls because CrowdStrike already provides validated, benchmark-mapped policies maintained by CrowdStrike security research.

Therefore,leveraging existing IOM policiesis the correct and recommended approach to maintaincontinuous, benchmark-aligned visibilityacross multi-cloud environments.

When investigating widespread Indicators of Misconfiguration (IOMs) such as Azure MFA not being enforced, CrowdStrike Falcon Cloud Security provides deeper investigative context through Event Search and Asset Graph. These two capabilities work together to move beyond a high-level finding count and into actionable insight.

Event Search allows analysts to query cloud control plane activity and identity-related events to understand how authentication policies are configured, modified, or bypassed over time. This helps determine whether MFA gaps are due to legacy configurations, recent changes, or specific identities or services.

Asset Graph provides a visual and relational view of cloud identities, subscriptions, roles, and permissions. It enables analysts to see which users, service principals, or resources are affected by missing MFA enforcement and how they are connected across the environment.

The other options do not provide the same depth of investigation. Identity & Cloud Group is primarily used for scoping visibility, while CloudTrail logging is AWS-specific and not applicable to Azure MFA findings. Therefore, the correct answer is Event search & Asset graph.

A valid and recommended reason for adding base images into Falcon Cloud Security is toreduce duplicate findings when a base image is used multiple times. Base images are commonly shared across many application images, meaning vulnerabilities, secrets, or detections present in the base layer can appear repeatedly across derived images.

By onboarding base images directly into Falcon Cloud Security, the platform can more efficiently track and correlate vulnerabilities at their source. This allows security teams to remediate issues once at the base image level rather than addressing the same findings across every downstream image. As a result, vulnerability management becomes more accurate, scalable, and operationally efficient.

The other options are incorrect and potentially dangerous assumptions. Base image CVEscan absolutely be exploitedby adversaries, and base image vulnerabilities are not inherently less risky than other CVEs. In many cases, unpatched base images are a primary attack vector in containerized environments.

CrowdStrike’s container image strategy emphasizes reducing noise, improving prioritization, and enabling faster remediation. Adding base images supports these goals by minimizing duplicate alerts and providing clearer insight into risk inheritance across image hierarchies. Therefore, the correct answer isReduce duplicates when a base image is used multiple times.

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.

CrowdStrike recommends enablingDrift Preventionwhen container workloads have beendesigned to be immutable. Immutable infrastructure is a core cloud-native principle where containers are not modified after deployment. Any change to a running container—such as installing packages or modifying files—indicates potential misconfiguration or malicious activity.

Drift Prevention enforces this principle by blocking or alerting on runtime changes that deviate from the original container image. This makes it highly effective for production environments where containers should run exactly as built and deployed.

In development or testing environments, containers often change dynamically, making Drift Prevention impractical due to excessive false positives. Similarly, containers that must download or install packages at startup inherently require runtime modification and are not suitable candidates for Drift Prevention.

Enabling Drift Prevention at the wrong time can disrupt legitimate workloads. Therefore, CrowdStrike guidance clearly states that Drift Prevention should be enabledonly after workloads are intentionally designed to be immutable, making optionCthe correct answer.

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.

A commoncloud-conscious attacker techniqueused to remain hidden in a compromised environment isdisabling CloudTrail logging. AWS CloudTrail records API activity across an account, providing critical visibility into actions taken by users, roles, and services. By disabling or tampering with CloudTrail, attackers significantly reduce the likelihood of detection.

CrowdStrike Falcon Cloud Security classifies this behavior as a high-risk indicator because it directly impacts monitoring, forensics, and incident response. Without CloudTrail logs, security teams lose audit trails that are essential for identifying malicious actions such as privilege escalation, data exfiltration, or persistence mechanisms.

Other options represent misconfigurations or changes that may increase exposure but do not directly suppress visibility. For example, modifying storage networking or security groups increases attack surface, while adding certificates may support persistence—but none are as directly linked to stealth as disabling logging.

Therefore,CloudTrail logging disabledis the correct answer and a well-documented cloud attack tactic used to evade detection.

InCrowdStrike Falcon Cloud Security, preventing a container process from altering its expected behavior is achieved throughcontainer drift preventionenforced by theFalcon Linux sensorat runtime.

Container drift occurs when a running container deviates from its original image state, such as when new binaries are written, files are modified, or unexpected processes execute. Drift is a strong indicator of compromise, misconfiguration, or malicious activity.

By enablingcontainer drift prevention on the Linux sensor, Falcon enforcesruntime immutability, ensuring that containers only execute binaries and processes that were present at image build time. Any unauthorized modifications or executions are either detected or actively blocked, depending on policy configuration.

Creating a custom IOA is not the most effective approach because IOAs are reactive and behavior-based rather than enforcing immutability. The Kubernetes Admission Controller operates at deployment time, not runtime, and cannot prevent post-deployment process changes. Image Assessment policies only affect image deployment decisions and do not control runtime behavior.

Therefore,Option Ais correct because container drift prevention is specifically designed toprotect runtime container integrity, ensuring containers behave exactly as expected throughout their lifecycle.