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NEW QUESTION # 340
What should be verified when troubleshooting a newly registered Azure account that is not showing any data in the Falcon console?
Answer: B
NEW QUESTION # 341
How do Falcon Cloud Security components work together to provide comprehensive protection across cloud environments?
Answer: B
Explanation:
Option A: Falcon Cloud Security's components work together by using sensors to collect telemetry data, which is analyzed by AI-powered detection engines to identify threats. This integration ensures swift and efficient threat response.
Option B: Falcon Cloud Security components are designed to work together seamlessly within a unified platform, sharing data and insights to provide comprehensive protection.
Option C: Falcon Cloud Security is a cloud-native platform. Threat data collected by sensors is sent to the Falcon cloud for centralized analysis, not stored locally or shared manually.
Option D: Falcon Cloud Security relies on sensors (endpoint agents) to gather telemetry data from workloads, but it does not configure firewalls or directly monitor network traffic.
NEW QUESTION # 342
What is the primary purpose of performing an automated remediation dry run in the CrowdStrike Falcon platform?
Answer: C
Explanation:
Option A: A dry run does not apply any remediation actions; it merely simulates them. Applying actions to detected threats would go beyond the scope of a dry run, potentially causing changes in the environment.
Option B: An automated remediation dry run allows security teams to simulate remediation actions without actually applying them. This helps evaluate the potential impact of the proposed actions on the cloud environment, ensuring no unintended disruptions occur. It is a critical step in refining and testing workflows before deployment.
Option C: Dry runs are not related to compliance reporting. Their focus is on testing and evaluating remediation workflows, not analyzing past data for compliance.
Option D: While workflows can use templates, creating workflows is a separate activity. Dry runs are performed on existing workflows to test their efficacy.
NEW QUESTION # 343
You receive an alert that one of your container images contains AWS credentials stored in cleartext.
What detection type should you search for to investigate?
Answer: B
Explanation:
When CrowdStrike Falcon detects cloud credentials-such as AWS access keys-stored in cleartext within a container image, the finding is classified as aSecretdetection. Secrets include sensitive data such as API keys, access tokens, passwords, and cryptographic material embedded in container images, configuration files, or source code.
Falcon Cloud Security performs deep inspection of container images during image assessment to identify hard-coded secrets before those images are deployed into runtime environments. Storing AWS credentials in cleartext represents a critical security risk because attackers who gain access to the image can easily extract and misuse those credentials to access cloud resources.
Whilemisconfigurationsfocus on insecure cloud settings andsuspicious filesrelate to potentially malicious artifacts, secret detections are specifically intended to highlight exposed sensitive information. TheExposed credentialoption may sound similar, but within CrowdStrike's detection taxonomy for container and image security, these findings are categorized underSecretdetections.
Investigating Secret detections allows security teams to quickly identify where credentials are embedded, rotate compromised keys, and remediate the issue by using secure alternatives such as cloud-native secrets managers or environment-based injection mechanisms. Therefore, the correct detection type to search for is Secret.
NEW QUESTION # 344
Which of the following is a requirement for deploying the Kubernetes and Container Sensor in a Kubernetes cluster?
Answer: B
Explanation:
Option A: Requiring all workloads to use privileged containers would create unnecessary security risks. The Kubernetes and Container Sensor can secure non-privileged containers, which is the recommended best practice for containerized workloads.
Option B: Disabling the kube-proxy component is not required for deploying the Kubernetes and Container Sensor. Kube-proxy is an essential component of Kubernetes networking, and its removal would break cluster functionality.
Option C: The Kubernetes and Container Sensor is typically deployed as a DaemonSet to ensure that a sensor pod is running on each node in the Kubernetes cluster. This enables comprehensive monitoring and threat detection across all workloads in the cluster. The DaemonSet is a standard Kubernetes construct for deploying cluster-wide services.
Option D: GPU support is not a requirement for deploying the Kubernetes and Container Sensor.
GPU nodes are only necessary for specific workloads, such as machine learning applications, and are unrelated to the sensor's deployment.
NEW QUESTION # 345
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