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Cisco 200-201 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Security Concepts20-25%- Defense-in-depth architecture
- CIA triad
- Common vulnerabilities
- Endpoint analysis techniques
- Threat actors and motives
- Security control types
- Security posture assessment
Topic 2: Incident Response10-15%- Post-incident activities
- Forensic investigation basics
- Evidence handling and chain of custody
- Incident classification and categories
- Incident response procedures and workflow
- CSIRT roles and responsibilities
Topic 3: Security Monitoring25-30%- Network traffic analysis tools
- SIEM platforms and log analysis
- Event correlation and alert prioritization
- Alert triage and escalation
- Intrusion detection and prevention systems
- Security data collection methods
Topic 4: Host-based Analysis15-20%- Forensic data collection
- Memory management and virtualization
- File systems and processes
- Malware indicators and behaviors
- Artifact analysis (logs, registry, event IDs)
- Operating system structures (Windows, Linux)
Topic 5: Network Concepts20-25%- OSI model and TCP/IP model
- Common ports and protocols
- Subnets and CIDR notation
- Network traffic analysis (packet captures, protocols)
- Network topologies (star, mesh, bus)
- Network device types and functions (router, switch, firewall, IDS/IPS)

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Cisco Understanding Cisco Cybersecurity Operations Fundamentals Sample Questions (Q357-Q362):

NEW QUESTION # 357
Which statement describes patch management?

Answer: C

Explanation:
Patch management is the process of distributing and managing updates to software and systems. These updates can include patches for security vulnerabilities, bug fixes, and enhancements to improve performance or add new features. It ensures that systems are up-to-date, secure, and performing optimally. Reference:= Cisco Cybersecurity Training


NEW QUESTION # 358
What is the difference between statistical detection and rule-based detection models?

Answer: C

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 # 359
Refer to the exhibit.

What is occurring in this network?

Answer: B

Explanation:
The exhibit shows a network diagram with a switch, a router, and two hosts. The switch has a MAC address table that maps the MAC addresses of the connected devices to the corresponding ports. A MAC flooding attack is a type of attack that aims to overload the switch's MAC address table by sending a large number of frames with spoofed source MAC addresses. This causes the switch to enter a fail-open mode, where it broadcasts all incoming frames to all ports, effectively turning it into a hub. This allows the attacker to sniff the traffic between the hosts and the router, or launch other attacks such as ARP spoofing or man-in-the-middle


NEW QUESTION # 360
Which of these describes SOC metrics in relation to security incidents?

Answer: C

Explanation:
SOC metrics often include the measurement of the time it takes to detect security incidents. This metric, known as Mean Time to Detect (MTTD), indicates the average time taken by the SOC team to identify and detect a security incident once it has occurred. This metric is crucial as quicker detection allows for a faster response, potentially minimizing the impact and scope of the incident.


NEW QUESTION # 361
Refer to the exhibit.

Refer to the exhibit. What type of event is occurring?

Answer: D


NEW QUESTION # 362
......

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