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CrowdStrike CCFR-201b Exam - Topic 4 Question 9 Discussion

The function of Machine Learning Exclusions is to___________.
D) stop all ML-based detections and preventions for the matching path(s) and/or stop files from being uploaded to the CrowdStrike Cloud
A) stop all detections for a specific pattern ID
B) stop all sensor data collection for the matching path(s)
C) Stop all Machine Learning Preventions but a detection will still be generated and files will still be uploaded to the CrowdStrike Cloud

CrowdStrike CCFR-201b Exam - Topic 4 Question 9 Discussion

Actual exam question for CrowdStrike's CCFR-201b exam
Question #: 9
Topic #: 4
[All CCFR-201b Questions]

The function of Machine Learning Exclusions is to___________.

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Suggested Answer: D

According to theCrowdStrike Falcon Data Replicator (FDR) Add-on for Splunk Guide, Machine Learning Exclusions allow you to exclude files or directories from being scanned by CrowdStrike's machine learning engine, which can reduce false positives and improve performance2.You can also choose whether to upload the excluded files to the CrowdStrike Cloud or not2.


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Bo
4 days ago
I think it's D. It makes sense to stop all detections and preventions.
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Sunny
9 days ago
I thought it was just about pattern IDs, but this is more complex!
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Marti
14 days ago
I disagree, I believe it’s more about stopping data collection.
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Rochell
19 days ago
Wait, so it doesn't stop all detections? That seems odd.
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Isadora
25 days ago
I think it's option D for sure!
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Cordell
30 days ago
It's definitely about stopping ML-based detections.
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Kattie
1 month ago
I vaguely recall that exclusions might still allow some detections to happen, which makes me think option C could be correct too.
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Chanel
3 months ago
I'm leaning towards option D because it sounds like it covers both detections and preventions, but I could be mixing it up with another topic.
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Kanisha
3 months ago
I remember a practice question that mentioned stopping sensor data collection, so maybe that's related to option B?
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Nadine
3 months ago
I think Machine Learning Exclusions are meant to stop detections, but I'm not sure if it's just for specific patterns or broader.
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