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CrowdStrike CCCS-203b Exam Syllabus Topics:

TopicDetails
Topic 1
  • Findings and Detection Analysis: This domain covers evaluating security controls to identify IOMs, vulnerabilities, suspicious activity, and persistence mechanisms, auditing user permissions, comparing configurations to benchmarks, and discovering unmanaged public-facing assets.
Topic 2
  • Runtime Protection: This domain focuses on selecting appropriate Falcon sensors for Kubernetes environments, troubleshooting deployments, and identifying misconfigurations, unassessed images, IOAs, rogue containers, drift, and network connections.
Topic 3
  • Remediating and Reporting Issues: This domain addresses identifying remediation steps for findings, using scheduled reports for cloud security, and utilizing Falcon Fusion SOAR workflows for automated notifications.

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CCCS-203b Valid Exam Syllabus & Question CCCS-203b Explanations

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CrowdStrike Certified Cloud Specialist Sample Questions (Q174-Q179):

NEW QUESTION # 174
What capability does the Kubernetes Admission Controller provide within CrowdStrike Falcon Cloud Security?

Answer: B


NEW QUESTION # 175
You suspect that there is malware in one of your container images.
What can you investigate to confirm this?

Answer: C

Explanation:
To confirm whether malware exists within a container image, CrowdStrike Falcon Cloud Security directs investigators to reviewImage detection findings. These findings are generated during container image assessments, where Falcon performs deep inspection of image layers, binaries, and embedded artifacts.
Image detection findings include indicators of known malware, suspicious executables, malicious scripts, and other threats identified through CrowdStrike's threat intelligence and detection engines. Because container images are often reused across environments, identifying malware at the image level is critical to preventing widespread propagation.
Other options do not directly confirm malware within an image.Drift indicatorsrelate to changes in a running container compared to its original image, not malware embedded in the image itself.Container alertsare typically runtime detections triggered by behavior during execution.Container misconfigurationsfocus on insecure settings rather than malicious code.
By reviewing image detection findings, security teams can identify infected images early, remediate by rebuilding clean images, and prevent deployment through policy enforcement mechanisms such as the Kubernetes Admission Controller. Therefore, the correct investigation path for suspected malware in a container image isImage detection findings.


NEW QUESTION # 176
During an image security scan, a container image assessment report reveals that an API key and database credentials are embedded in the Docker image's environment variables. Which of the following represents the best approach to resolving this issue before deployment?

Answer: C

Explanation:
Option A: Encrypting secrets inside the image does not solve the problem effectively because the decryption key must still be accessible, potentially leading to key exposure.
Option B: Using --no-cache can prevent secrets from persisting in intermediate layers during image builds, but it does not remove the fundamental problem of hardcoded secrets within the final image.
Option C: File permission changes only limit access inside the container but do not prevent secrets from being extracted from the image itself once it is pulled from a registry.
Option D: Hardcoded secrets in container images pose a major security risk. The best approach is to remove them and use a secrets management solution like AWS Secrets Manager, HashiCorp Vault, or Kubernetes Secrets to inject them at runtime securely.


NEW QUESTION # 177
A security engineer is conducting an asset discovery assessment using CrowdStrike Falcon Cloud Security and finds several public-facing cloud resources that are not listed in the organization's asset inventory.
Which of the following is the most appropriate action to take first?

Answer: C

Explanation:
Option A: Immediately deleting assets without investigation can cause disruptions if they are in use by critical services. Verification is essential before taking action.
Option B: Unmanaged public-facing assets pose a significant security risk. The best practice is to identify ownership, assess their legitimacy, and either enforce security policies or decommission them if unnecessary. Shadow IT, forgotten deployments, or misconfigured assets can all lead to breaches.
Option C: Network segmentation can limit exposure, but it does not address the root cause--why these assets exist and whether they are necessary or unauthorized.
Option D: Restricting outbound traffic may reduce risk, but it does not address the issue of unmanaged public exposure. Attackers could still exploit misconfigurations or known vulnerabilities on these assets.


NEW QUESTION # 178
A technology company is running a Kubernetes-based microservices architecture deployed across both on-premises data centers and multiple cloud environments, including AWS and Google Cloud. The security team wants a unified solution that provides runtime protection, threat detection, and container visibility across their hybrid cloud infrastructure.
Which CrowdStrike Falcon?sensor should they deploy?

Answer: A

Explanation:
Option A: Falcon CWP is designed to secure containerized workloads across hybrid cloud environments, providing real-time threat detection, runtime protection, and visibility into Kubernetes clusters regardless of where they are deployed. It supports multi-cloud and on- premises deployments, making it the best fit for this scenario.
Option B: This sensor is tailored for Mac endpoint security and does not provide Kubernetes runtime protection. It is intended for user devices rather than containerized environments.
Option C: This tool is useful for post-incident forensic investigations but does not provide proactive runtime protection. It is not intended for continuous security monitoring in Kubernetes environments.
Option D: Mobile security sensors are designed for iOS and Android devices, focusing on mobile endpoint security rather than cloud-native workloads. They do not offer runtime protection for Kubernetes environments.


NEW QUESTION # 179
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