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| Section | Weight | Objectives |
|---|---|---|
| Remediation and Response | 15% | - Incident response integration - Automated remediation workflows - Remediation recommendations - Policy enforcement |
| CrowdStrike Falcon Platform for Cloud | 25% | - Cloud workload protection (CWP) features - Container security within Falcon - Falcon Horizon for cloud posture management - Sensor deployment and configuration - Falcon Cloud Security module overview |
| Cloud Visibility and Monitoring | 20% | - Dashboard interpretation - Log analysis and correlation - Cloud asset inventory - Event monitoring and alerting |
| Cloud Native Security Concepts | 20% | - Kubernetes security concepts - Container security basics - Cloud workload protection fundamentals - Cloud infrastructure entitlements |
| Cloud Attack Path Analysis | 20% | - Identity-based attack vectors - Runtime threat detection - Misconfiguration identification - Compliance and governance risks |
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NEW QUESTION # 72
What is the best approach to handle the output of the Falcon CWPP Image Scanning Script to ensure vulnerabilities are addressed effectively?
Answer: A
Explanation:
Option A: Filtering critical vulnerabilities ensures that the most significant issues are addressed promptly while allowing the pipeline to continue for lower-priority issues. This approach balances security and productivity effectively.
Option B: Disabling logging hinders visibility into vulnerabilities. Security concerns about logs can be mitigated through secure storage and access control rather than disabling logging altogether.
Option C: Ignoring the script output negates the value of integrating the Image Scanning Script into the pipeline. Automated handling ensures vulnerabilities are addressed consistently and promptly.
Option D: Automatically failing the pipeline for all vulnerabilities, including low and informational ones, can disrupt development unnecessarily. The severity of vulnerabilities should be considered before deciding on pipeline actions.
NEW QUESTION # 73
You are setting up a Falcon Fusion SOAR workflow to notify your team when any new executable is downloaded to a container and run. You are using a Kubernetes and containers trigger.
Which trigger subcategory and type should you select for this purpose?
Answer: D
Explanation:
To notify your team when anew executable is downloaded and executed inside a running container, you must use aruntime-focused triggerin Falcon Fusion. The correct selection isContainer detection > Container runtime detection.
Container runtime detections monitor live container behavior, including process execution, file writes, network activity, and binary downloads. When an executable is introduced and run at runtime, this represents potential malicious activity or policy violation that cannot be detected during image assessment.
Image Assessmenttriggers apply only to pre-runtime image scanning and cannot detect runtime execution.
Container drift detectionfocuses on changes to container state relative to the original image but does not specifically target execution-based detections.
CrowdStrike Falcon Cloud Security documentation clearly distinguishes runtime detections as the correct signal source for SOAR automation involving live container behavior. Therefore, the correct trigger configuration isContainer detection > Container runtime detection.
NEW QUESTION # 74
The security team wants to exclude a specific container image from being assessed by Falcon's image assessment policy.
Which of the following steps should they take to configure this exclusion?
Answer: A
Explanation:
Option A: Runtime policies address runtime behavior and do not affect pre-deployment image assessments.
Option B: Excluding an image from the image assessment policy requires adding its immutable digest to the allowlist. This ensures that the specific image is excluded from assessment while maintaining security for other images in the registry.
Option C: Tags are mutable and can point to different image versions over time. Exclusions based on tags are not reliable for security purposes.
Option D: Kubernetes labels do not control Falcon's image assessment policies. Exclusions are configured within the Falcon Cloud platform, not at the Kubernetes level.
NEW QUESTION # 75
What is the primary reason for reviewing the base image of a container when performing a security assessment?
Answer: B
Explanation:
Option A: While runtime performance can be influenced by the image configuration, the primary focus of a security assessment is identifying and mitigating vulnerabilities, not performance optimization.
Option B: Although using minimal layers can improve storage efficiency, the goal of reviewing base images is to ensure security, not necessarily to reduce the image size.
Option C: The base image forms the foundation of a container. If it contains outdated or vulnerable dependencies, they can propagate to any containers built from it. Regularly reviewing and updating the base image ensures that known vulnerabilities are mitigated, which is critical for maintaining a secure environment.
Option D: Compatibility with orchestrators like Kubernetes is generally determined by the image's runtime requirements, not by reviewing the base image for security.
NEW QUESTION # 76
Which method is most effective for identifying Indicators of Attack (IOAs) in a cloud environment with minimal disruption to workloads?
Answer: C
Explanation:
Option A: Falcon Cloud Workload Protection (CWP) provides advanced runtime protection by monitoring for Indicators of Attack (IOAs). It integrates with container and cloud environments to detect malicious behaviors, including exploitation attempts, file modifications, and lateral movement. CWP focuses on runtime protection without impacting workloads, making it the most effective solution in this scenario.
Option B: Vulnerability scanners identify known weaknesses but are not effective in detecting real-time Indicators of Attack (IOAs) or runtime behaviors. They are complementary to runtime protection but not a substitute for it.
Option C: While Falcon Sensor provides real-time monitoring, deploying sensors in dynamic cloud environments may introduce operational overhead, especially in environments with ephemeral resources like containers.
Option D: Manual log analysis is labor-intensive, error-prone, and lacks the real-time detection capabilities required to identify IOAs effectively. It is not scalable for large or complex cloud environments.
NEW QUESTION # 77
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