CrowdStrike CCFA-200 Actual Questions

The Windows sensor installer for CrowdStrike Falcon can be downloaded from the Hosts > Sensor Downloads page in the Falcon console. This page allows you to download different sensor versions and installers for various operating systems and platforms, as well as view installation instructions and release notes. The other options are either incorrect or not available. Reference: CrowdStrike Falcon User Guide, page 27.

The option that best describes what happens to detections in the console after clicking “Disable Detections” for a host from within the Host Management page is that the detections for the host are removed from the console immediately and no new detections will display in the console going forward. The “Disable Detections” feature allows you to enable or disable the detection and prevention capabilities of the Falcon sensor on a specific host. When you disable detections for a host, the sensor will stop sending any detection or prevention events to the Falcon console, and any existing events for that host will be removed from the console. When you enable detections for a host, the sensor will resume sending any new detection or prevention events to the Falcon console, but any previous events for that host will not be restored to the console1.

References: 1: Falcon Administrator Learning Path | Infographic | CrowdStrike

The administrator can modify settings to permit certain traffic during a containment period by creating or editing a Containment Policy. This policy allows users to specify which ports, protocols and IP addresses are allowed or blocked during network containment. The other options are either incorrect or not related to network containment. Reference: [CrowdStrike Falcon User Guide], page 40.

According to documentation (documentation/detections/technique/sensor-based-ml-cst0007): CrowdStrike sensor-based machine learning (ML) identifies and analyzes unknown executables as they run on hosts. This technique is triggered by files and file attributes associated with known malware. This is similar to the [Cloud-based ML](/support/documentation/detections/technique/cloud-based-ml) technique. Cloud-based ML is informed by global analysis of executables that classifies and identifies malware. The key difference is that it doesn't run on hosts when they're offline.