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Cisco 200-201 Exam Syllabus Topics:

Section	Weight	Objectives
Security Monitoring	25%	- Interpret logs, alerts, and telemetry data - Classify network and application attacks - Classify endpoint-based attacks - Compare attack surface and vulnerability concepts - Describe social engineering attacks - Identify certificate components and security impact - Use data types in security monitoring - Identify suspicious patterns and anomalies
Security Policies and Procedures	15%	- Explain compliance and data privacy requirements - Describe security management concepts - Apply incident handling process 1. Preparation 2. Post-incident analysis 3. Detection and analysis 4. Containment, eradication, recovery - Explain incident response plan elements (NIST SP800-61) - Describe server profiling and data protection
Network Intrusion Analysis	20%	- Map events to source technologies 1. NetFlow 2. IDS/IPS 3. Firewall - Use basic regular expressions - Identify intrusions and anomalies in packet captures - Compare deep packet inspection, filtering, and stateful firewall - Analyze transactional data in network traffic - Compare inline traffic interrogation and monitoring
Host-Based Analysis	20%	- Identify log types and sources - Describe operating system components - Analyze OS, application, and command-line logs - Compare tampered and untampered disk images - Explain role of attribution in investigations - Interpret malware analysis tool output - Describe endpoint security technologies - Detect unauthorized access and system compromise
Security Concepts	20%	- Describe the CIA triad - Compare security deployments 1. Network, endpoint, and application security systems 2. Cloud security deployments 3. Agentless and agent-based protections 4. SIEM, SOAR, and log management 5. Container and virtual environments 6. Legacy antivirus and antimalware - Identify challenges of data visibility - Interpret 5-tuple approach - Compare security concepts 1. Risk, threat, vulnerability, exploit - Compare access control models 1. Mandatory access control 2. Authentication, authorization, accounting 3. Discretionary access control 4. Nondiscretionary access control - Compare rule-based, behavioral, and statistical detection - Describe principles of defense-in-depth strategy - Describe security terms 1. Threat intelligence platform 2. Zero trust 3. Threat hunting 4. Threat intelligence 5. Threat actor 6. Reverse engineering 7. Malware analysis 8. Principle of least privilege 9. Run book automation 10. Sliding window anomaly detection

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Cisco Understanding Cisco Cybersecurity Operations Fundamentals Sample Questions (Q238-Q243):

NEW QUESTION # 238
What is the difference between statistical detection and rule-based detection models?

A. Rule-based detection involves the evaluation of data in relation to the behavior of legitimate users over a period of time and statistical detection evaluates it on an IF/THEN basis.
B. Statistical detection involves the evaluation of data in relation to the behavior of legitimate users over a period of time and rule-based detection evaluates it on an IF/THEN basis.
C. Rule-based detection defines legitimate data of users over a period of time and statistical detection defines it on an IF/THEN basis.
D. Statistical detection defines legitimate data of users over a period of time and rule-based detection defines it on an IF/THEN basis.

Answer: D

Explanation:
Statistical detection models build profiles based on the behavior of legitimate users or systems over time, defining what is considered normal. These models then flag deviations from this normal behavior, which may indicate anomalies or malicious activity. Statistical methods involve continuous learning and are often used for detecting unknown threats or abnormal behavior patterns.
Rule-based detection models, on the other hand, work by using predefined rules and patterns, typically defined in an IF/THEN format. For example, "If traffic on port 22 increases beyond a certain threshold, then raise an alert." This method is effective for known threats where specific rules can be applied.

NEW QUESTION # 239
Which action matches the weaponization step of the Cyber Kill Chain Model?

A. Construct a trojan and deliver l! to the victim.
B. Match a known script to a vulnerability.
C. Develop a specific malware to exploit a vulnerable server
D. Scan open services and ports on a server.

Answer: A

Explanation:
The weaponization step in the Cyber Kill Chain Model involves the creation or use of a specific weapon (malware, exploit) designed to leverage a vulnerability.
This phase follows the reconnaissance phase where the attacker gathers information and precedes the delivery phase where the weapon is delivered to the target.
Developing specific malware to exploit a vulnerable server is a precise example of weaponization.
References
Lockheed Martin Cyber Kill Chain Model
Understanding the Weaponization Phase in Cyber Attacks
Steps in the Cyber Kill Chain

NEW QUESTION # 240
Drag and drop the definition from the left onto the phase on the right to classify intrusion events according to the Cyber Kill Chain model.

Answer:

Explanation:

Explanation:
Exploitation - The targeted Environment is taken advantage of triggering the threat actor's code Installation - Backdoor is placed on the victim system allowing the threat actor to maintain the persistence.
Command and Control - An outbound connection is established to an Internet-based controller server.
Actions and Objectives - The threat actor takes actions to violate data integrity and availability

NEW QUESTION # 241
Refer to the exhibit.

An analyst received this alert from the Cisco ASA device, and numerous activity logs were produced. How should this type of evidence be categorized?

A. corroborative
B. best
C. circumstantial
D. indirect

Answer: C

Explanation:
The alert from the Cisco ASA device and the numerous activity logs are examples of circumstantial evidence.
Circumstantial evidence is evidence that relies on an inference or deduction to connect it to a conclusion of fact, such as a security incident or an attack. Circumstantial evidence does not directly prove the fact in question, but rather suggests or implies it. In this case, the alert and the logs indicate that a TCP connection attempt was denied by an access group, but they do not directly prove that an attack occurred or who was behind it. There could be other explanations for the denied connection, such as a misconfiguration, a network error, or a legitimate request. Therefore, this type of evidence is circumstantial and requires further investigation and analysis to confirm or rule out the possibility of an attack. References := Circumstantial evidence - Wikipedia; Circumstantial Evidence - Definition, Examples, Cases, Processes; Understanding Cisco Cybersecurity Operations Fundamentals (CBROPS) - Cisco, page 92.

NEW QUESTION # 242
What are the two characteristics of the full packet captures? (Choose two.)

A. Identifying network loops and collision domains.
B. Reassembling fragmented traffic from raw data.
C. Detecting common hardware faults and identify faulty assets.
D. Troubleshooting the cause of security and performance issues.
E. Providing a historical record of a network transaction.

Answer: D,E

Explanation:
Full packet captures allow for detailed analysis of network traffic by capturing and storing complete network packets. They are instrumental in diagnosing security threats, performance issues, and providing a comprehensive historical record of network transactions. Additionally, they can help in reassembling fragmented traffic and identifying the root cause of various security and performance-related problems. They do not specifically identify network loops or collision domains, or directly detect hardware faults.

NEW QUESTION # 243
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