Cisco Exam 200-201 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?

Astatistical data

Balert data

Ctransaction data

Dmetadata

Show Suggested 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

by Tonette at Jun 24, 2024, 12:13 AM

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Artie

10 months 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

9 months ago

I think alert data could also be useful in identifying any suspicious activity.

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Salena

9 months ago

I agree, statistical data is key for detecting anomalies in the network.

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Nadine

10 months 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

10 months 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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