Quick Answer
The correct answers are signature-based detection and anomaly-based detection, as these are the two common techniques used in network intrusion analysis. Signature-based detection works by matching network traffic against predefined patterns—such as specific byte sequences in a packet payload or known malicious IP addresses—making it highly effective for identifying known threats with very low false-positive rates. Anomaly-based detection, by contrast, establishes a baseline of normal network behavior and flags any traffic that deviates from that baseline, which allows it to uncover novel or zero-day attacks that lack a known signature. On the Cisco CyberOps Associate 200-201 exam, this distinction tests your understanding of how analysts balance precision against discovery; a common trap is assuming that only one technique is used in practice, when in fact they are complementary. A useful memory tip is to think of signature detection as a wanted poster (exact match) and anomaly detection as a suspicious behavior report (deviation from the norm).
This 200-201 practice question tests your understanding of network intrusion analysis. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
Which two are common techniques used in network intrusion analysis? (Choose two.)
Threat intelligence feeds
Why wrong: Used for enrichment, not a detection technique per se.
Sandboxing
Why wrong: Typically used for analyzing suspicious files, not network traffic.
Signature-based detection
Common network intrusion detection technique.
Heuristic analysis
Why wrong: More often used in endpoint or malware analysis.
Anomaly-based detection
Common network intrusion detection technique.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Signature-based detection
Signature-based detection (C) is a core technique in network intrusion analysis where predefined patterns (signatures) of known attacks—such as specific byte sequences in a packet payload or known malicious IP addresses—are matched against network traffic. This method is highly effective for detecting known threats with low false-positive rates, as it relies on exact pattern matching rather than behavioral baselines.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Threat intelligence feeds
Why it's wrong here
Used for enrichment, not a detection technique per se.
Sandboxing
Why it's wrong here
Typically used for analyzing suspicious files, not network traffic.
Signature-based detection
Why this is correct
Common network intrusion detection technique.
Related concept
Read the scenario before looking for a memorised answer.
Heuristic analysis
Why it's wrong here
More often used in endpoint or malware analysis.
Anomaly-based detection
Why this is correct
Common network intrusion detection technique.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Cisco often tests the distinction between detection techniques (signature-based and anomaly-based) and supporting tools (threat intelligence feeds, sandboxing) or host-based methods (heuristic analysis), leading candidates to incorrectly select options that are not primary network intrusion analysis techniques.
Detailed technical explanation
Signature-based detection works by comparing packet payloads against a database of known attack signatures, such as those defined by Snort rules (e.g., 'alert tcp any any -> any 80 (msg:"SQL Injection Attempt"; content:"OR 1=1";)'). Anomaly-based detection, in contrast, establishes a baseline of normal traffic (e.g., average packet size, protocol distribution, or flow duration) using statistical models like mean and standard deviation, then flags deviations exceeding a threshold (e.g., 3σ). In real-world scenarios, anomaly-based detection can identify zero-day attacks but suffers from high false-positive rates, while signature-based detection is fast and reliable for known threats but misses novel attacks.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A small business has 20 workstations on the 192.168.1.0/24 network and one public IP from its ISP. The router uses PAT (NAT overload) so all 20 devices share one public address using different source ports. NAT questions test whether you understand the four address terms and which direction each translation applies.
What to study next
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Network Intrusion Analysis — study guide chapter
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FAQ
Network Intrusion Analysis — This question tests Network Intrusion Analysis — Read the scenario before looking for a memorised answer..
The correct answer is: Signature-based detection — Signature-based detection (C) is a core technique in network intrusion analysis where predefined patterns (signatures) of known attacks—such as specific byte sequences in a packet payload or known malicious IP addresses—are matched against network traffic. This method is highly effective for detecting known threats with low false-positive rates, as it relies on exact pattern matching rather than behavioral baselines.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Same concept, more angles
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. Match each analysis type to its description.
mediumWhy : These are key analysis methodologies in cybersecurity.
Last reviewed: Jun 25, 2026
This 200-201 practice question is part of Courseiva's free Cisco certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the 200-201 exam.
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