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Cisco 300-215 Exam Syllabus Topics:

SectionObjectives
Endpoint and Malware Analysis- Endpoint telemetry analysis
- Malware behavior identification
- Use of Cisco endpoint security technologies
Security Monitoring and Cisco Technologies- Cisco Secure Endpoint (AMP) usage
- Cisco Secure Network Analytics (Stealthwatch)
- Log correlation and SIEM concepts
Network Forensics and Traffic Analysis- Network flow analysis using Cisco tools
- Identifying malicious traffic patterns
- Packet capture and analysis
Digital Forensics Fundamentals- Disk and memory forensics concepts
- Evidence handling and chain of custody
- Forensic data acquisition techniques
Incident Response Process- Preparation and readiness for security incidents
- Incident identification and triage
- Containment, eradication, and recovery procedures

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Cisco Conducting Forensic Analysis & Incident Response Using Cisco Technologies for CyberOps Sample Questions (Q19-Q24):

NEW QUESTION # 19
Which technique exemplifies an antiforensic technique?

Answer: A


NEW QUESTION # 20
A security team receives reports of multiple files causing suspicious activity on users' workstations. The file attempted to access highly confidential information in a centralized file server. Which two actions should be taken by a security analyst to evaluate the file in a sandbox? (Choose two.)

Answer: B,D


NEW QUESTION # 21
A security team is notified from a Cisco ESA solution that an employee received an advertising email with an attached .pdf extension file. The employee opened the attachment, which appeared to be an empty document.
The security analyst cannot identify clear signs of compromise but reviews running processes and determines that PowerShell.exe was spawned by CMD.exe with a grandparent AcroRd32.exe process. Which two actions should be taken to resolve this issue? (Choose two.)

Answer: A,D

Explanation:
The observed process tree (AcroRd32.exe#cmd.exe#powershell.exe) strongly suggestsmalicious behavior, particularly inPDF-based malware attacksleveraging embedded scripts or exploits.
* Ais correct: Submitting the suspicious PDF toCisco Threat Gridallows sandbox analysis to detect hidden malicious behaviors.
* Dis correct: The suspicious activity warrantsquarantining the hostto contain potential spread or further compromise.


NEW QUESTION # 22

Refer to the exhibit. A network administrator creates an Apache log parser by using Python. What needs to be added in the box where the code is missing to accomplish the requirement?

Answer: B

Explanation:
The goal of the given Python code is to parse an Apache access log and extract IP addresses using regular expressions (regex). In this context, the most appropriate regex pattern to extract IPv4 addresses from log data is:
r ' \d{1,3}.\d{1,3}.\d{1,3}.\d{1,3} '
This pattern matches typical IPv4 addresses, where each octet consists of 1 to 3 digits separated by periods.
For example, it matches addresses like 192.168.1.1 or 10.0.0.123. The pattern uses:
\d{1,3} to capture between 1 and 3 digits,
\. to match the dot (escaped since . is a special character in regex),
repeated 4 times with proper separation to form the full IPv4 structure.
Options A, B, and C either include incorrect syntax, improper escape sequences, or do not represent a valid IP address pattern.
This type of log analysis and pattern extraction is described in the Cisco CyberOps Associate curriculum under basic scripting and automation techniques used in log and artifact analysis.
Reference: CyberOps Technologies (CBRFIR) 300-215 study guide, Section: "Basic Python Scripting for Security Analysts" and "Log Analysis and Data Extraction using Regex."


NEW QUESTION # 23
Which tool is used for reverse engineering malware?

Answer: A

Explanation:
Ghidrais a free and open-source software reverse engineering (SRE) suite developed by the NSA. It includes disassembly, decompilation, and debugging tools specifically designed for analyzing malware and other compiled programs.
The Cisco CyberOps guide referencesGhidraas a top tool for reverse engineering binary files during malware analysis tasks, making it ideal for understanding malicious code behavior at a deeper level.


NEW QUESTION # 24
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