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Cisco 300-215 Exam Questions
- Cisco Certified Network Professional CCNP Certifications
- Cisco Certified Network Professional Cybersecurity Certifications
- Topic 1: Describe capabilities of Cisco security solutions related to threat intelligence/ Recognize encoding and obfuscation techniques
- Topic 2: Recommend a response based on intelligence artifacts/ Analyze the components needed for a root cause analysis report
- Topic 3: Evaluate elements required in an incident response playbook/ Determine the type of code based on a provided snippet
- Topic 4: Recommend actions based on post-incident analysis/ Describe the issues related to gathering evidence from virtualized environments
- Topic 5: Evaluate the relevant components from the ThreatGrid report/ Recognize the methods identified in the MITRE attack framework to perform fileless malware analysis
- Topic 6: Describe the process of performing forensics analysis of infrastructure network devices/ Interpret binaries using objdump and other CLI tools
- Topic 7: Analyze threat intelligence provided in different formats/ Determine the files needed and their location on the host
- Topic 8: Determine attack vectors or attack surface and recommend mitigation in a given scenario/ Describe the goals of incident response
- Topic 9: Analyze logs from modern web applications and servers/ Determine data to correlate based on incident type
- Topic 10: Recommend a response to 0 day exploitations/ Evaluate artifacts from threat intelligence to determine the threat actor profile
Free Cisco 300-215 Exam Actual Questions
Note: Premium Questions for 300-215 were last updated On Aug. 24, 2026 (see below)
A threat hunter must analyze the threat intelligence report on APT29 and identify whether the threat actor is on the Windows machines of the customer network. According to the report the user executes a malicious file on the victim machine that establishes a C? connection over port 53 Afterward, the attacker uses a CI.I to stage and exfiltrate business data. Which two types of logs enable the threat hunter to accomplish the task? (Choose two.)
An incident responder reviews a log entry that shows a Microsoft Word process initiating an outbound network connection followed by PowerShell execution with obfuscated commands. Considering the machine's role in a sensitive data department, what is the most critical action for the responder to take next to analyze this output for potential indicators of compromise?
When dealing with suspected malicious activity involving obfuscated PowerShell scripts---especially when launched from Microsoft Word documents---behavioral analysis is the most critical next step. This approach helps in determining if the process chain is part of a known attack pattern, such as a phishing attempt using malicious macros that launch PowerShell for data exfiltration or payload download.
As highlighted in the CyberOps Technologies (CBRFIR) 300-215 study guide, understanding behavior and deobfuscating PowerShell scripts is an essential part of the forensic and incident response process. Specifically:
During the detection and analysis phase, if PowerShell is used with obfuscated or encoded commands, responders should investigate the intent and behavior of the command.
Deobfuscation allows analysts to see what the script is doing (e.g., downloading files, creating persistence mechanisms, or opening a reverse shell).
The guide states:
''For example, if the threat is malware, the compromised system should be immediately isolated and the malware should be placed in a sandbox or a detonation chamber to understand what it is trying to do''.
This confirms that understanding execution behavior (such as what the PowerShell script intends to perform) is key to uncovering indicators of compromise (IoCs).
Thus, option C---conducting a behavioral analysis and deobfuscating PowerShell---is the most critical and effective response at this stage.
Which scripts will search a log file for the IP address of 192.168.100.100 and create an output file named parsed_host.log while printing results to the console?
To determine the correct script, we evaluate the following requirements:
The script must search for the IP address 192.168.100.100.
The output should be written to a file named parsed_host.log.
The matching lines should be printed to the console.
Analysis of the options:
Option A: Correct IP regex used and correct output filename, but reads from parsed_host.log instead of a source log file like test_log.log (not ideal for initial parsing).
Option C: The IP address used is 192.168.100.101 instead of 192.168.100.100 --- incorrect.
Option D: Same IP address and logic as Option B, but uses print statement without parentheses, which is not valid in Python 3 unless using Python 2 --- not ideal.
Option B:
Uses correct IP: '192.168.100.100'
Reads from test_log.log (presumably the source log file).
Writes to output/parsed_host.log.
Prints each matching line and writes to output file --- satisfying all conditions.
ChatGPT said:
An engineer must advise on how YARA rules can enhance detection capabilities. What can YARA rules be used to identify?
YARA rules are designed to identify files that match specific patterns, strings, or binary characteristics.
The Cisco CyberOps guide states:
''YARA helps researchers and analysts identify and classify malware samples based on textual or binary patterns''.
Refer to the exhibit.
Refer to the exhibit. A security analyst notices that a web application running on NGINX is generating an unusual number of log messages. The application is operational and reachable. What is the cause of this activity?
The provided log file contains multiple HTTP GET requests attempting to access various directories and files on the web server such as:
/balance
/security
/finance
/secret
/opt
/fuzzer/admin
These requests appear to be sequential, systematically targeting commonly used file and directory paths. The response codes are mostly 404 (Not Found) and a few 301s, indicating that the requester is trying different permutations of paths to discover hidden or vulnerable endpoints. This behavior is consistent with directory fuzzing, a reconnaissance technique used by attackers (or automated tools) to map out web directory structures by sending a high volume of crafted requests to guess hidden or unlinked directories and files.
This is distinct from DDoS (which would manifest as volume-based access issues), SQL injection (which targets specific parameters within requests), or botnet infection (which generally involves command-and-control communication or massive traffic floods).
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