Cisco 200-201 Based on Real Exam Environment

Social engineering is a type of testing method that involves manipulating or deceiving people into performing actions or divulging information that can compromise the security of the organization. Social engineering can take various forms, such as phishing, vishing, baiting, quid pro quo, or impersonation. The scenario in the question is an example of a phishing attack, where the intruder sent an email to the user that appeared to be legitimate and contained a malicious link that infected the user’s machine and allowed the intruder to access the corporate network. References: [Understanding Cisco Cybersecurity Operations Fundamentals (CBROPS) - Module 6: Security Incident Investigations]

Full packet capture data involves storing the entire content of packets that traverse a network. This type of data is comprehensive and allows for detailed analysis but requires a significant amount of storage space compared to other data types like transaction, statistical, or session data. References := Cisco Cybersecurity Operations Fundamentals - Module 3: Network Data and Event Analysis

 Deep packet inspection (DPI) and stateful inspection are two techniques that are used by firewalls and other network security devices to inspect and filter network traffic. Stateful inspection allows visibility on Layer 4 (transport layer) of the OSI model, which means it can track the state of TCP or UDP connections and filter packets based on source and destination IP addresses, ports, and protocols. Deep packet inspection allows visibility on Layer 7 (application layer) of the OSI model, which means it can inspect the contents and payloads of packets and filter packets based on application-specific criteria, such as signatures, keywords, URLs, or behaviors. References:

• Understanding Cisco Cybersecurity Operations Fundamentals (CBROPS) v1.0, Module 2: Security Monitoring, Lesson 2.2: Network Security Monitoring Tools
• Cisco Certified CyberOps Associate Overview, Exam Topics, 2.2 Describe the impact of network security monitoring tools on data privacy