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Cisco 200-201 Exam Syllabus Topics:

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

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Cisco Understanding Cisco Cybersecurity Operations Fundamentals Sample Questions (Q169-Q174):

NEW QUESTION # 169
An engineer needs to discover alive hosts within the 192.168.1.0/24 range without triggering intrusive portscan alerts on the IDS device using Nmap. Which command will accomplish this goal?

A. nmap -sV 192.168.1.0/24
B. nmap -sP 192.168.1.0/24
C. nmap --top-ports 192.168.1.0/24
D. nmap -sL 192.168.1.0/24

Answer: B

Explanation:
https://explainshell.com/explain?cmd=nmap+-sP

NEW QUESTION # 170
Which data type is necessary to get information about source/destination ports?

A. connectivity data
B. session data
C. alert data
D. statistical data

Answer: B

Explanation:
Explanation
Session data provides information about the five tuples; source IP address/port number, destination IP address/port number and the protocol What is Connectivity Data? According to IBM - Connectivity data defines how entities are connected in the network. It includes connections between different devices, and VLAN-related connections within the same device https://www.ibm.com/docs/en/networkmanager/4.2.0?topic=relationships-connectivity-data

NEW QUESTION # 171
What is the difference between statistical detection and rule-based detection models?

A. 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.
B. Statistical detection defines legitimate data of users over a period of time and rule-based detection defines it on an IF/THEN basis.
C. 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.
D. Rule-based detection defines legitimate data of users over a period of time and statistical detection defines it on an IF/THEN basis.

Answer: B

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 # 172
Refer to the exhibit.
What is occurring?

A. Regular GET requests
B. XML External Entitles attack
C. Cross-Site Scripting attack
D. Insecure Deserialization

Answer: C

Explanation:
The exhibit shows a log of HTTP GET requests, one of which includes a suspicious string that is indicative of a Cross-Site Scripting (XSS) attack. XSS attacks involve injecting malicious scripts into webpages viewed by other users. These scripts can be used to steal information, redirect users to malicious websites, or perform actions on behalf of the user without their consent. Reference: Cisco Cybersecurity Operations Fundamentals, Module 1: Security Concepts, Lesson 1.3: Common Network Application Operations and Attacks, Topic 1.3.2: Web Application Attacks

NEW QUESTION # 173
Drag and drop the access control models from the left onto the correct descriptions on the right.

Answer:

Explanation:

NEW QUESTION # 174
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