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| Certification Vendor: | CrowdStrike |
|---|---|
| Exam Name: | CrowdStrike Certified Cloud Specialist Exam |
| Exam Number: | CCCS-203b |
| Passing Score: | 80% or 700/1000 |
| Exam Format: | Fill-in-the-blank, Build a tree, Multiple choice (single/multiple answer), Simulation, Hot area |
| Certificate Validity Period: | 2 years |
| Exam Price: | $250 USD |
| Exam Duration: | 90 minutes |
| Available Languages: | English |
| Real Exam Qty: | 58-60 |
| Recommended Training: | CrowdStrike Certified Cloud Specialist Training |
| Exam Registration: | Pearson VUE Registration |
| Sample Questions: | CrowdStrike CCCS-203b Sample Questions |
| Exam Way: | Online proctored or onsite at Pearson VUE test centers |
| Pre Condition: | Basic knowledge of cloud platforms (AWS/Azure/GCP) and familiarity with CrowdStrike Falcon platform recommended; no mandatory prerequisites |
| Official Syllabus URL: | https://www.crowdstrike.com/services/training-certification/ |
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| 主題 | 簡介 |
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| 主題 1 |
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| 主題 2 |
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| 主題 3 |
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問題 #37
Which of the following best practices should you follow when creating custom IOM rules in CrowdStrike Falcon to prevent accidental disruptions in operations?
答案：B
解題說明：
Option A: This is incorrect because while Regex can be powerful, overly broad patterns may result in false positives or system disruptions. It is better to create specific rules tailored to precise indicators.
Option B: This is incorrect because logging is crucial for monitoring the effectiveness of IOM rules and troubleshooting issues. Disabling logs would make it difficult to audit the rule's impact and effectiveness.
Option C: This is incorrect because applying a rule universally can lead to unintended consequences, especially if critical systems or services rely on the flagged entity. You should define exclusions for known benign use cases.
Option D: This is correct because testing in Detection-only mode allows you to monitor the rule's effectiveness and ensure it does not cause unintended disruptions before enabling the "Block" action. This approach minimizes risks associated with false positives.
問題 #38
Which Falcon sensor is best suited for securing a hybrid cloud environment with both containerized and non-containerized workloads?
答案：C
解題說明：
Option A: Falcon Horizon is designed for cloud security posture management (CSPM) and not for runtime protection of workloads. While it helps identify misconfigurations and compliance issues, it does not directly secure containerized or non-containerized workloads.
Option B: While the Falcon Kubernetes Sensor provides excellent runtime protection for containerized workloads in Kubernetes environments, it does not extend its capabilities to non- containerized workloads, making it insufficient for hybrid environments.
Option C: Falcon Container Sensor is optimized for securing containerized workloads, including runtime protection and integration with CI/CD pipelines. Additionally, it can coexist with Falcon Linux Sensor to provide coverage for hybrid environments, making it the best choice in this scenario.
Option D: The Falcon Linux Sensor is ideal for securing traditional Linux workloads but does not provide the specific runtime container protection and orchestration-level insights needed for Kubernetes-based environments.
問題 #39
Your company operates a hybrid cloud environment spanning AWS, Azure, and Google Cloud.
The security team wants to implement a pre-runtime protection strategy to prevent containerized applications from running vulnerable or malicious images. The organization requires a solution that integrates seamlessly across cloud providers while enforcing strict security policies before deployment. Which image assessment method would be the most appropriate for this use case?
答案：A
解題說明：
Option A: Network-based intrusion detection systems (NIDS) monitor network traffic for malicious activity but do not assess container images for vulnerabilities before deployment. They are useful for runtime threat detection, not pre-runtime protection.
Option B: Sandboxing isolates applications to observe their behavior and detect potential threats.
However, this method is typically used for testing unknown executables rather than scanning container images in a registry before deployment. It does not provide proactive pre-runtime assessment.
Option C: Registry scanning is the most effective method for assessing container images before they are deployed. It integrates with container registries (e.g., Amazon ECR, Azure Container Registry, Google Artifact Registry) to scan images for vulnerabilities, misconfigurations, and malware before they are pulled into a runtime environment. This pre-runtime approach ensures security compliance across multiple cloud platforms.
Option D: Host-based scanning is focused on identifying threats already present on a running system. While useful for runtime protection, it does not prevent vulnerable images from being deployed in the first place, making it an inadequate choice for pre-runtime security.
問題 #40
You are tasked with creating a scheduled report for Indicators of Attack (IOAs) and Indicators of Maliciousness (IOMs) in the CrowdStrike platform.
Which step is crucial to ensure the report provides actionable insights for your security team?
答案：C
解題說明：
Option A: An annual report frequency is insufficient for real-time threat mitigation. Security teams require more frequent updates, such as daily or weekly, to respond effectively to emerging threats.
Option B: While executives need summaries, sharing reports exclusively with them prevents the security team from accessing actionable insights necessary for day-to-day threat response.
Option C: Configuring filters ensures that the report highlights relevant and actionable threats.
Excluding benign detections reduces noise and allows the security team to focus on critical IOAs and IOMs, improving response efficiency. Mismanaging filters can overwhelm the team with unnecessary data or omit key threats.
Option D: Limiting the report to IOAs ignores IOMs, which are critical for understanding malicious patterns. Both indicators are essential for a comprehensive threat landscape view.
問題 #41
A security engineer is troubleshooting a Kubernetes sensor deployment for runtime protection.
The sensor fails to start, and the following error is observed in the logs: 1. Failed to pull image
"security-sensor:latest": ImagePullBackOff
What is the most likely cause of this issue, and how should it be resolved?
答案：D
解題說明：
Option A: Insufficient memory can cause container crashes (OOMKilled), but it does not lead to an ImagePullBackOff error.
Option B: While an unsupported Kubernetes version might cause compatibility issues, it is not a direct cause of an image pull failure. Downgrading is not a general solution to this issue.
Option C: The "ImagePullBackOff" error occurs when Kubernetes repeatedly fails to pull an image from a container registry. Common causes include:
?The image does not exist or has been deleted.
?The image tag is incorrect or mismatched.
?Registry authentication is required, and the credentials are missing or incorrect.
?Network issues prevent the image from being pulled.
?Resolving this requires verifying the image existence, ensuring the node has the correct registry credentials, and confirming that the registry is accessible.
Option D: While sensors often require elevated privileges, lack of privileges would not prevent image pulling--it would cause runtime permission errors instead.
問題 #42
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