Cisco 200-201 Web-Based Practice Exam Questions

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Cisco Understanding Cisco Cybersecurity Operations Fundamentals Sample Questions (Q255-Q260):

NEW QUESTION # 255

Refer to the exhibit. An attacker scanned the server using Nmap. What did the attacker obtain from this scan?

Answer: B

Explanation:
The Nmap scan results show that several ports, including ftp (21/tcp), ssh (22/tcp), telnet (23/tcp), smtp (25
/tcp), and http (80/tcp), are listed as "filtered". This typically indicates that a firewall is filtering the traffic to these ports, making it impossible to determine whether they are open without further investigation. However, the question specifically asks about SMB ports, which are not shown in the provided Nmap scan results.
Therefore, based on the information given, we cannot confirm that the attacker identified open SMB ports on the server. The correct answer would require additional evidence not present in the scan results. References := Understanding Cisco Cybersecurity Operations Fundamentals (CBROPS) course materials and official Cisco documentation provide insights into interpreting Nmap scan results and identifying port states. These resources can be found at the Cisco Learning Network Store and Cisco's official training and certifications webpage


NEW QUESTION # 256
What does this regular expression do?
192|172).(168|1[6-9]|2[0-9]|3[0-1]).[0-9]{1,3}.[0-9]{1,3}

Answer: B


NEW QUESTION # 257
What is a comparison between rule-based and statistical detection?

Answer: A

Explanation:
Rule-based detection methods rely on predefined rules and patterns that are known beforehand. These rules are created based on prior knowledge of what constitutes normal and abnormal behavior.
Statistical detection, on the other hand, involves analyzing data to identify anomalies. It is based on assumptions about what normal behavior looks like and uses statistical methods to detect deviations from this norm.
Rule-based systems are typically straightforward but may miss novel attacks that do not match existing rules.
Statistical methods can detect previously unknown threats by recognizing patterns that deviate from established baselines but may produce more false positives.
Reference:
Intrusion Detection Systems (IDS) Concepts
Comparative Studies on Rule-based and Statistical Anomaly Detection
Understanding Anomaly Detection in Network Security


NEW QUESTION # 258
What is sliding window anomaly detection?

Answer: B

Explanation:
Sliding window anomaly detection is a technique used in cybersecurity to identify unusual patterns or behaviors that deviate from the norm. It involves analyzing segments of data over a period of time, referred to as a 'window,' and comparing them against typical patterns. Anomalies are detected when observed behaviors significantly differ from expected patterns, indicating potential security incidents or issues that require further investigation. Reference:: An adaptive sliding window for anomaly detection of time series in wireless sensor networks


NEW QUESTION # 259
After a large influx of network traffic to externally facing devices, a security engineer begins investigating what appears to be a denial of service attack When the packet capture data is reviewed, the engineer notices that the traffic is a single SYN packet to each port Which type of attack is occurring?

Answer: B

Explanation:
The scenario described is indicative of a port scanning attack. Port scanning is a method used by attackers to discover open ports on network devices. A single SYN packet sent to each port is a technique known as SYN scanning or half-open scanning, where the attacker sends a SYN message (as if they are going to initiate a TCP connection) to every port on the server, looking for positive responses which indicate an open port. This type of scanning is less intrusive and harder to detect because it never completes the TCP three-way handshake1.


NEW QUESTION # 260
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