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CrowdStrike CCFA-200b Exam Overview:

Certification Vendor:CrowdStrike
Exam Name:CrowdStrike Certified Falcon Administrator (CCFA) - 2024 Version
Exam Number:CCFA-200b
Related Certifications:CrowdStrike Certified Falcon Administrator (CCFA)
Passing Score:Not publicly disclosed by vendor (Pass/Fail result provided)
Exam Price:Contact CrowdStrike University for current pricing
Exam Format:Proctored, Multiple Choice
Available Languages:English
Certificate Validity Period:2 years (renewal required)
Exam Duration:90 minutes
Real Exam Qty:60
Sample Questions:CrowdStrike CCFA-200b Sample Questions
Exam Way:Online (via Pearson VUE) or On-site (Pearson VUE Test Centers)
Pre Condition:No mandatory prerequisites, but CrowdStrike recommends 6+ months of experience with the Falcon platform and completion of the CCFA training path in CrowdStrike University.
Official Syllabus URL:https://www.crowdstrike.com/certifications/

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CrowdStrike CCFA-200b 考試大綱：

主題簡介
主題 1
  • Workflows: This domain focuses on configuring automated workflows that execute predefined actions when specific triggers or conditions are met.
主題 2
  • Group Creation: This domain covers assigning endpoints to appropriate groups for policy application and following best practices for managing host group structures.
主題 3
  • User Management: This domain covers determining appropriate roles for console access, creating and assigning roles with specific permissions, and managing API keys for platform access.
主題 4
  • Policy Application: This domain encompasses configuring prevention policies for security posture, sensor update policies, RTR audit policies, containment policies with IP exclusions, and managing quarantined files.

最新的 CrowdStrike Certified Falcon Administrator CCFA-200b 免費考試真題 (Q57-Q62):

問題 #57
Which report can assist in determining the appropriate Machine Learning levels to set in a Prevention Policy?

答案：C

解題說明：
The Machine Learning Prevention Monitoring report in the Prevention Policy Management option allows you to monitor the impact of machine learning (ML) prevention settings on your environment. You can view the number of ML detections and preventions by severity, policy, and host group. You can also drill down into specific events and hosts to see more details. This report can help you determine the appropriate ML levels to set in a prevention policy based on your risk tolerance and security posture1.


問題 #58
You need to be aware of which policies are the most used as new hosts are being added to your CID.
Where could you easily find a review of the top ten sensor update, prevention, and device control policies?

答案：B


問題 #59
Which of the following Machine Learning (ML) sliders will only detect or prevent high confidence malicious items?

答案：D

解題說明：
The Machine Learning (ML) slider that will only detect or prevent high confidence malicious items is Cautious. The ML slider allows you to adjust the level of sensitivity and aggressiveness of the Falcon sensor's ML engine, which uses artificial intelligence to identify and stop unknown threats.
The Cautious setting will enable the sensor to detect and prevent only high-confidence malicious events, while allowing low-confidence events to run without interference. This setting will also generate less noise and false positives than higher settings, such as Moderate or Extra Aggressive.


問題 #60
Which report in Falcon can be used to determine the volume of blocked activity at a different prevention policy setting?

答案：C

解題說明：
The correct report is Machine Learning Prevention Monitoring . This report helps administrators understand how machine-learning policy levels affect detection and prevention volume. It is useful during policy tuning because Falcon machine-learning settings can be staged from detection-focused configurations to prevention-focused configurations. Administrators can use this data to estimate how many events would be detected or blocked at different ML aggressiveness levels and then adjust policies with fewer surprises.
Falcon Prevention Policy Debug is not the reporting feature designed for this purpose, and the Prevention Policy Audit Trail tracks administrative changes rather than activity volume. The CCFA policy tuning model relies on measuring detection and prevention outcomes before increasing enforcement, especially during staged deployment phases.


問題 #61
Which user role will NOT enable the user to connect to a host using Real Time Response?

答案：D


問題 #62
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