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CrowdStrike Exam CCFH-202 Topic 5 Question 18 Discussion

Actual exam question for CrowdStrike's CCFH-202 exam
Question #: 18
Topic #: 5
[All CCFH-202 Questions]

Which of the following is a recommended technique to find unique outliers among a set of data in the Falcon Event Search?

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Suggested Answer: B

This is the difference between a Host Search and a Host Timeline. A Host Search is an Investigate tool that allows you to view events by category, such as process executions, network connections, file writes, etc. A Host Timeline is an Investigate tool that allows you to view all events in chronological order, without any categorization. Both tools can be used for detection investigation and proactive hunting, depending on the use case and preference. You can access a Host Search from a detection or manually enter the host details. You can also populate the Host Timeline fields manually or from other pages in Falcon.


by Kris at May 13, 2024, 12:47 AM

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Cordell
3 months ago
Machine Learning is the way to go! Unless you're a caveman, then maybe A. Hunt-and-Peck is more your speed.
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Ryan
1 months ago
Hunt-and-Peck may work for some, but Machine Learning is more advanced.
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Deeann
2 months ago
I agree, Machine Learning can help find unique outliers efficiently.
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Leota
2 months ago
Machine Learning is definitely the best option.
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Ty
3 months ago
Hunt-and-Peck Search Methodology? Seriously? I thought we were past the Stone Age of data analysis.
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Roosevelt
2 months ago
Time-based Searching could also be useful in identifying anomalies in the data.
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Renato
2 months ago
Machine Learning would be a more advanced technique to find unique outliers.
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Lillian
2 months ago
I agree, Hunt-and-Peck Search Methodology seems outdated.
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Destiny
3 months ago
Time-based Searching? C'mon, that's so last year. I'm all about that Machine Learning, baby!
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Marta
2 months ago
I'm all about that Machine Learning, baby!
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Whitley
3 months ago
Time-based Searching? C'mon, that's so last year.
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Vivienne
3 months ago
B. Stacking (Frequency Analysis) sounds like a solid option. Gotta love that data crunching power.
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Jina
4 months ago
Hmm, I think I'll go with D. Machine Learning - can't go wrong with a little AI magic!
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Alishia
2 months ago
User 4: Machine Learning (D) is the best choice for finding unique outliers.
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Tiffiny
2 months ago
User 3: I'm going with C) Time-based Searching.
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Julian
2 months ago
User 2: I think B) Stacking (Frequency Analysis) is the way to go.
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Rosita
3 months ago
I agree, D) Machine Learning sounds like a powerful tool for this task.
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Kanisha
3 months ago
I prefer B) Stacking (Frequency Analysis) for finding unique outliers.
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Margot
3 months ago
User 1: I prefer A) Hunt-and-Peck Search Methodology.
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Kirk
4 months ago
I prefer Stacking (Frequency Analysis) for identifying unique outliers.
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Erick
4 months ago
I believe Machine Learning is the way to go for finding unique outliers.
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Gussie
4 months ago
I think the recommended technique is Time-based Searching.
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