Practice Free CCCS-203b Exam Online Questions
What is the primary purpose of the Kubernetes and Container Sensor in CrowdStrike Falcon?
- A . To manage Kubernetes cluster configurations directly from the Falcon console.
- B . To automatically scale Kubernetes clusters based on threat levels.
- C . To replace the Kubernetes control plane with a secure alternative provided by CrowdStrike.
- D . To monitor and secure containerized applications by detecting runtime threats within Kubernetes clusters.
D
Explanation:
Option A: The Kubernetes and Container Sensor does not manage cluster configurations. Kubernetes configuration management is handled using tools like kubectl or third-party configuration managers such as Helm or ArgoCD.
Option B: The Kubernetes and Container Sensor does not have the capability to scale Kubernetes clusters. Kubernetes autoscaling is handled by the cluster’s Horizontal Pod Autoscaler or similar tools. This answer reflects a misunderstanding of the sensor’s purpose and Kubernetes scaling mechanisms.
Option C: CrowdStrike does not replace the Kubernetes control plane. Instead, it integrates with existing Kubernetes environments to provide security. Replacing the control plane would interfere with Kubernetes’ core functionality and is outside the scope of CrowdStrike’s offerings.
Option D: The Kubernetes and Container Sensor in CrowdStrike Falcon is specifically designed to provide runtime security for containerized applications. It integrates with Kubernetes to monitor containers for malicious activity, ensure compliance, and detect runtime threats. This feature ensures the security of dynamic containerized environments, which are more challenging to monitor with traditional
endpoint security tools.
What is the most effective way to use CrowdStrike Cloud Infrastructure Entitlement Manager (CIEM) to identify privileged accounts that lack multi-factor authentication (MFA)?
- A . Manually review IAM policies and verify MFA settings for each account.
- B . Use CIEM’s Identity Analyzer to detect privileged accounts without MFA by analyzing policy and configuration data.
- C . Disable all accounts that have administrative privileges immediately.
- D . Require all users to reset their passwords and enable MFA immediately.
B
Explanation:
Option A: This method is highly inefficient and prone to errors, especially in environments with numerous accounts. CIEM automates this process, saving time and reducing human error.
Option B: CIEM’s Identity Analyzer provides an automated approach to identify privileged accounts lacking MFA. It scans cloud configuration data and IAM policies, cross-referencing them with MFA settings. This method ensures accurate detection without manual intervention, enabling quick remediation of potential security risks.
Option C: Disabling privileged accounts without prior analysis can disrupt critical business operations. CIEM allows for precise identification of accounts that pose risks due to missing MFA, ensuring targeted remediation.
Option D: Forcing a blanket password reset and MFA enablement disrupts user workflows and may not address privileged accounts specifically. CIEM ensures a focused approach by targeting accounts that are privileged and lack MFA.
A security analyst is reviewing a CrowdStrike Falcon Cloud Security detection report. The report flags a container running in a Kubernetes cluster as exhibiting suspicious behavior.
The following behaviors were detected:
• Execution of curl commands to an external unknown IP
• Multiple failed SSH connection attempts from within the container
• A new user account was created within the container
• A process spawned from /dev/shm
Based on these findings, what is the most likely conclusion, and what should the security team do next?
- A . The container is experiencing a misconfiguration issue with outbound networking. Restart the pod and reapply network policies.
- B . The detection is a false positive caused by an automated update process. Mark the findings as benign and take no action.
- C . The container is likely compromised, and an attacker may be attempting lateral movement. Investigate and isolate the container immediately.
- D . The issue is likely due to the use of a non-root container user. Modify the container to run as root and retry the operation.
C
Explanation:
Option A: Networking misconfigurations can cause access issues but do not explain suspicious behaviors like unauthorized user creation or execution from unusual locations.
Option B: While automated updates can sometimes trigger alerts, failed SSH attempts and execution from /dev/shm are strong red flags. Marking this as benign without deeper investigation is dangerous.
Option C: The observed behaviors (curl to unknown IP, failed SSH attempts, user creation, execution from shared memory /dev/shm) are strong indicators of compromise. This suggests an attacker may have gained initial access and is trying to expand their foothold. Immediate isolation and forensic analysis are critical steps.
Option D: Running as root increases attack surface and is a bad security practice. The issue is not caused by a non-root user but by suspicious behavior within the container.
While setting up a scheduled report for IOAs and IOMs in CrowdStrike, which configuration ensures that the report delivers maximum operational value for threat analysis?
- A . Set the report to use only default template settings without modifications.
- B . Group all IOAs and IOMs under a single severity category for simplicity.
- C . Disable email notifications to avoid distracting stakeholders.
- D . Use dynamic time range filters to include the most recent data.
D
Explanation:
Option A: Default templates may not align with specific organizational needs. Customizing the report ensures relevance to the organization’s security requirements and operational goals.
Option B: Grouping all indicators under a single category reduces the ability to prioritize threats effectively. Severity-based categorization helps security teams allocate resources to the most critical issues.
Option C: Email notifications ensure that stakeholders receive the report promptly. Disabling them risks delays in accessing critical information, which could impact threat response.
Option D: Dynamic time range filters ensure the report reflects the latest IOAs and IOMs, enabling timely threat analysis and response. This approach is crucial for identifying trends and addressing new threats proactively. Static or outdated data may lead to missed opportunities for mitigation.
Which Falcon sensor installation should you use for a Kubernetes endpoint that is hosting container workloads when you have access to the kernel?
- A . Falcon Operator Container Image
- B . Falcon Container Sensor for Linux
- C . Falcon Sensor for Linux
- D . Falcon Sensor for Linux deployed as a DaemonSet
D
Explanation:
When protecting a Kubernetes endpoint that hosts container workloads with access to the Linux kernel, CrowdStrike recommends deploying the Falcon 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.
The Falcon Container Sensor for Linux is used when kernel access is not available (for example, in managed or restricted environments). The Falcon Operator Container Image simplifies 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 is Falcon Sensor for Linux deployed as a DaemonSet.
What is the most efficient way to detect rogue containers and identify drift in containerized workloads in a cloud environment?
- A . Utilizing Falcon Discover to perform agentless scanning for rogue containers.
- B . Using Falcon Horizon to audit Kubernetes configurations.
- C . Configuring Falcon CWP to monitor container lifecycle and detect drift.
- D . Deploying manual container inspection scripts to identify runtime anomalies.
C
Explanation:
Option A: Falcon Discover provides visibility into assets and cloud workloads, but it does not offer runtime monitoring or drift detection capabilities. It is useful for inventory purposes, not runtime protection.
Option B: Falcon Horizon focuses on misconfiguration detection and compliance for Kubernetes and other cloud platforms. While it can identify misconfigurations that might lead to rogue containers, it does not monitor runtime behaviors or detect drift.
Option C: Falcon Cloud Workload Protection (CWP) is specifically designed to monitor containerized workloads in real time, detect rogue containers, and identify drift from expected configurations. Drift detection ensures that workloads adhere to defined security baselines, while runtime protection addresses
rogue or unauthorized containers. This approach is automated and efficient.
Option D: Manual inspection scripts are labor-intensive and not scalable for dynamic containerized environments. They lack the automation and real-time capabilities provided by Falcon CWP.
A security team at a multinational corporation detects suspicious activity on multiple cloud workloads protected by CrowdStrike Falcon Cloud Security. The team needs to properly report and escalate the incident for further investigation.
What is the best course of action to take immediately?
- A . Use Falcon Real Time Response (RTR) to immediately delete all files suspected of being malicious.
- B . Shut down all affected cloud workloads immediately, even before conducting a forensic analysis.
- C . Delete all security logs related to the incident to prevent attackers from covering their tracks.
- D . Generate a CrowdStrike Incident Report and escalate it through the organization’s Security
Operations Center (SOC).
D
Explanation:
Option A: Falcon RTR is a powerful tool for incident response, but immediate file deletion without forensic validation can lead to loss of evidence and potential operational impact. Security teams should analyze files before taking action.
Option B: While isolating affected workloads may be necessary, immediately shutting them down could erase critical forensic evidence. The best practice is to investigate the issue while maintaining logs and memory captures for further analysis.
Option C: Deleting logs is a critical mistake. Security logs provide vital information for incident investigation, root cause analysis, and compliance reporting. Logs should be preserved and analyzed, not erased.
Option D: Proper incident response requires documenting the event in an incident report and escalating it through the Security Operations Center (SOC). CrowdStrike Falcon provides detailed logging, detections, and forensic tools that should be used to investigate before taking additional remediation actions.
What is the potential impact if CrowdStrike IP addresses are not added to your container registry allowlist for image assessment?
- A . CrowdStrike will switch to a default public IP to bypass the restriction.
- B . Image assessment will fail, but other CrowdStrike services will continue to function.
- C . Image assessment will continue without any issues due to fallback IP detection.
- D . Image assessment will proceed with reduced capabilities.
B
Explanation:
Option A: This is incorrect because CrowdStrike does not use fallback public IPs to bypass restrictions.
The exact IP addresses provided in the CrowdStrike Console must be allowlisted.
Option B: This is correct because failing to allowlist CrowdStrike IP addresses specifically affects the image assessment functionality. Other CrowdStrike services that do not rely on the registry allowlist may continue to operate normally.
Option C: This is incorrect because CrowdStrike does not have a fallback mechanism for IP detection in this context. The specified IP addresses must be explicitly allowlisted to enable image assessment.
Option D: This is incorrect because image assessment requires direct communication with the container registry. Without allowlisted IP addresses, the assessment will fail entirely, not operate with reduced capabilities.
Which of the following scenarios would indicate a risky Azure Service Principal as identified by a Cloud Infrastructure Entitlement Manager (CIEM)?
- A . A Service Principal with "Contributor" role used exclusively for deploying infrastructure.
- B . A Service Principal with an expired credential and no associated roles.
- C . A Service Principal with "Reader" role assigned to an isolated development environment.
- D . A Service Principal with "Owner" role and no restrictions on its scope, accessible by an unused application.
D
Explanation:
Option A: The "Contributor" role has elevated permissions, but if the Service Principal is actively used for its intended purpose and scoped appropriately, it is not inherently risky.
Option B: An expired credential and no roles assigned effectively nullify any risk associated with the Service Principal. It would not be flagged as risky by CIEM.
Option C: The "Reader" role is read-only and does not allow modification of resources, making it a low-risk assignment. It is scoped to an isolated environment, further reducing risk.
Option D: An unused application with "Owner" role poses significant risk because it has unrestricted permissions across the subscription. If compromised, this Service Principal could enable attackers to gain full control over the environment.
What is the most effective method to assess the runtime state of containers in a Kubernetes environment without deploying a Falcon sensor?
- A . Use third-party threat detection solutions like Aqua Security or Sysdig
- B . Query the Kubernetes API server using tools like kubectl
- C . Enable runtime monitoring in Docker by default
- D . Install a Falcon sensor on the Kubernetes cluster nodes
B
Explanation:
Option A: Third-party solutions often require additional agents or sensors, which contradicts the question’s premise. Moreover, using these tools typically involves additional configuration and integration steps.
Option B: The Kubernetes API server provides detailed insights into the current state of pods and containers in a cluster. By querying the API with tools like kubectl, administrators can list running containers, view their status, and identify runtime configurations without deploying additional agents. This method leverages existing infrastructure for visibility.
Option C: Docker’s built-in runtime monitoring is limited in scope and does not integrate with Kubernetes orchestration layers. Additionally, it is not enabled by default in most environments, making it unsuitable for cloud-scale Kubernetes clusters.
Option D: While installing a Falcon sensor on cluster nodes offers enhanced security monitoring and runtime protection, the question specifies identifying running containers without deploying a Falcon sensor, making this option incorrect.
