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Cisco 200-201 Exam - Topic 2 Question 89 Discussion

Which type of data is used to detect anomalies in the network?
A) statistical data
B) alert data
C) transaction data
D) metadata

Cisco 200-201 Exam - Topic 2 Question 89 Discussion

Actual exam question for Cisco's 200-201 exam
Question #: 89
Topic #: 2
[All 200-201 Questions]

Which type of data is used to detect anomalies in the network?

Show Suggested Answer Hide Answer
Suggested Answer: A

Statistical data is crucial for detecting anomalies within a network because it provides a baseline of normal behavior.

Anomaly detection involves comparing current network data against historical statistical data to identify deviations from expected patterns.

This method helps in identifying unusual activities that could signify a security threat, such as unusual login attempts, data transfers, or access patterns.

Statistical data analysis tools use metrics such as mean, variance, and standard deviation to flag anomalies, aiding in proactive threat detection.


Cisco Cybersecurity Operations Fundamentals

Network Anomaly Detection Techniques

Statistical Methods in Cybersecurity

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Francoise
9 months ago
Totally agree, statistical data is the way to go!
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Rosalia
9 months ago
Wait, can metadata really detect anomalies?
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Candra
10 months ago
Transaction data can also help identify issues.
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Myra
10 months ago
I thought alert data was more relevant?
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Fatima
10 months ago
Statistical data is key for anomaly detection!
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Jose
10 months ago
I’m leaning towards metadata since it can provide context about the data flow, but I could be wrong.
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Troy
11 months ago
Transaction data sounds familiar, but I feel like it’s more about the actual transactions rather than detecting anomalies.
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Bobbie
11 months ago
I remember practicing a question about alert data, but I don't think that's the right answer for detecting anomalies.
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Nell
11 months ago
I think it might be statistical data, but I'm not completely sure. We discussed it in class.
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Keneth
11 months ago
I've seen questions like this before, and I think the key is to focus on the data that provides the most insight into network activity and performance. Statistical data seems like the most likely answer, but I'll double-check the other options just to be sure.
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Yvette
11 months ago
Hmm, I'm not entirely sure about this one. I know anomaly detection involves identifying unusual patterns, but I'm not confident which specific data type is best for that.
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Sue
11 months ago
This seems like a straightforward question about network anomaly detection. I'll focus on the key types of data that are typically used for this purpose.
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Belen
11 months ago
Okay, let's think this through. Statistical data would make sense, as it could help identify deviations from normal network behavior. Alert data and metadata could also be relevant, but I'm not as sure about transaction data.
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Billye
11 months ago
I'm a bit confused on the difference between the p, np, and c charts. I'll need to review those concepts quickly before answering.
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Abel
11 months ago
This seems like a pretty straightforward question about Veritas file system functionality. I'm pretty confident I can figure this out.
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Sherill
11 months ago
Hmm, I'm a bit unsure about this one. I know brand awareness is important, but I'm not sure if that's the best approach for an introductory campaign. Maybe brand parity or brand extension could also be good options to consider.
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Lenna
11 months ago
I can't recall exactly, but didn't we discuss that using algorithms from previous exchanges could allow attackers to break the key? That might be one possibility here.
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Artie
2 years ago
Transaction data? Nah, that's for keeping the bean counters happy. We're talking network security here, folks. Gotta go with the stats.
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Carla
2 years ago
I think alert data could also be useful in identifying any suspicious activity.
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Salena
2 years ago
I agree, statistical data is key for detecting anomalies in the network.
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Nadine
2 years ago
Metadata, baby! That's the hidden treasure trove of network information. Dig in and you'll uncover all sorts of juicy details.
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Rex
2 years ago
I'd go with alert data. That's like the network's way of raising its hand and saying 'Hey, something's not right!' Can't miss those signals, am I right?
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Jamika
2 years ago
I believe it's A) statistical data because it provides a baseline for normal behavior.
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Bettyann
2 years ago
Statistical data is the way to go for detecting network anomalies. It's like using a microscope to spot those pesky network gremlins!
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Kenneth
2 years ago
True, metadata can also play a role in detecting anomalies, but statistical data is more reliable.
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Wai
2 years ago
But statistical data provides a more in-depth analysis of network behavior.
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Amie
2 years ago
I agree, alert data can also be useful in identifying unusual patterns.
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Alease
2 years ago
Statistical data is definitely the key to detecting anomalies in the network.
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Lon
2 years ago
I'm not sure, but I think it could also be D) metadata.
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Lewis
2 years ago
I agree with Rodrigo, statistical data is used to detect anomalies.
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Rodrigo
2 years ago
I think the answer is A) statistical data.
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