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Cisco 200-201 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Security Concepts	20%	- Networking fundamentals for security 1. TCP/IP model basics 2. Common protocols and ports - Fundamental security principles 1. Confidentiality, Integrity, Availability (CIA) 2. Threat actors and motivations
Topic 2: Network Intrusion Analysis	25%	- Intrusion detection concepts 1. Signature vs anomaly detection 2. IDS/IPS systems - Packet analysis 1. Wireshark usage basics 2. Protocol inspection
Topic 3: Security Policies and Procedures	10%	- Incident response process 1. Eradication and recovery 2. Detection and containment - Security governance 1. Compliance concepts 2. Security policy frameworks
Topic 4: Host-based Analysis	20%	- Operating system analysis 1. Windows event logs 2. Linux system logs - Endpoint security 1. Host logs analysis 2. Malware identification
Topic 5: Security Monitoring	25%	- Security event analysis 1. Detection techniques 2. Network traffic monitoring - Security information and event management (SIEM) 1. Alert triage and escalation 2. Log analysis and correlation

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Cisco Understanding Cisco Cybersecurity Operations Fundamentals Sample Questions (Q532-Q537):

NEW QUESTION # 532
Which process represents the application-level allow list?

A. allowing specific files and deny everything else
B. allowing everything and denying specific executable files
C. allowing everything and denying specific applications protocols
D. allowing specific format files and deny executable files

Answer: A

Explanation:
An application-level allow list involves permitting specific files, applications, or software while denying access to everything else. This approach focuses on explicitly specifying and permitting certain trusted applications or files, ensuring that only approved or authorized items are allowed to execute or run within a system or network. All other files or applications not listed in the allow list are automatically restricted or denied from executing or accessing resources.

NEW QUESTION # 533
Refer to the exhibit.

In which Linux log file is this output found?

A. /var/log/auth.log
B. var/log/var.log
C. /var/log/dmesg
D. /var/log/authorization.log

Answer: A

Explanation:
The /var/log/auth.log file contains information about authentication and authorization events on a Linux system, such as successful and failed logins, sudo commands, and SSH sessions. The output in the exhibit shows a failed login attempt from a user named "root" using SSH. References: https://www.cisco.com/c/en/us
/td/docs/security/ise/2-4/admin_guide/b_ise_admin_guide_24/b_ise_admin_guide_24_new_chapter_01101.
html

NEW QUESTION # 534
DRAG DROP
Drag and drop the technology on the left onto the data type the technology provides on the right.
Select and Place:

Answer:

Explanation:

NEW QUESTION # 535
A multinational organization uses a complex network infrastructure incorporating multiple cloud services, diverse endpoints, and distributed networks with several security devices. Which challenge will the security team face when ensuring robust data visibility for effective threat detection and response?

A. different protocols used through different technologies across the organization
B. duplicate logs and alerts from different platforms
C. inconsistent data aggregation from different technologies used within the organization
D. limited data retention policies across different platforms

Answer: C

Explanation:
In modern enterprise environments, organizations rely on a wide range of technologies, including cloud platforms, on-premises systems, endpoint tools, and network security devices. One of the primary challenges in such environments is inconsistent data aggregation across these heterogeneous technologies.
Different tools generate logs in varying formats, structures, and levels of detail. Normalizing, correlating, and aggregating this data into a unified view is complex and often requires significant effort, tooling, and tuning.
Without consistent aggregation, security teams struggle to correlate events across systems, detect advanced threats, and build a complete incident timeline.
While different protocols, duplicate alerts, and retention limits are valid concerns, they are secondary effects of poor data aggregation. Cybersecurity operations documentation consistently identifies data normalization and aggregation as foundational challenges in large, distributed environments.
Therefore, inconsistent data aggregation is the primary obstacle to achieving effective organization-wide visibility.

NEW QUESTION # 536
What is the difference between statistical detection and rule-based detection models?

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

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 # 537
......

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