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| Certification Vendor: | Cisco |
|---|---|
| Exam Name: | Conducting Forensic Analysis & Incident Response Using Cisco Technologies |
| Exam Number: | 300-215 |
| Certificate Validity Period: | 3 years |
| Related Certifications: | Cisco CyberOps Associate (CBROPS) Cisco Certified CyberOps Professional |
| Exam Price: | USD 300 |
| Available Languages: | English |
| Exam Format: | Multiple response, Multiple choice |
| Exam Duration: | 90 minutes |
| Recommended Training: | Cisco CyberOps Training Cisco Secure Operations Learning |
| Exam Registration: | Cisco Certification Registration Pearson VUE Cisco Exams |
| Sample Questions: | Cisco 300-215 Sample Questions |
| Exam Way: | Online or testing center (Pearson VUE) |
| Pre Condition: | Recommended: Cisco CyberOps Associate certification or equivalent security operations experience |
| Official Syllabus URL: | https://www.cisco.com/c/en/us/training-events/training-certifications/certifications.html |
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NEW QUESTION # 15
A cybersecurity analyst must identify an unknown service causing high CPU on a Windows server. What tool should be used?
Answer: D
Explanation:
Process Explorer is an advanced Windows-based utility that shows real-time data about running processes, CPU usage, services, DLLs, and handles. It is specifically designed for this kind of investigation and is part of the Sysinternals Suite.
NEW QUESTION # 16
Refer to the exhibit.
Answer: D
Explanation:
The string shown is long, alphanumeric, and includes both uppercase and lowercase letters with numbers- characteristics of Base64 encoding. This format is widely used to obfuscate payloads in malicious scripts, particularly in phishing or malware campaigns. Base64 encoding is also supported by Python and other platforms for data transformation.
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NEW QUESTION # 17
Refer to the exhibit.
Which two actions should be taken as a result of this information? (Choose two.)
Answer: C,E
Explanation:
The XML (STIX/CybOX format) details an email-based threat indicator. Specifically:
The email address contains "@state.gov" (not exact match, so blocking all @state.gov would be overbroad).
The attachment is a PDF file with a specified MD5 hash: cf2b3ad32a8a4cfb05e9dfc45875bd70.
The attachment size is 87022 bytes.
From a threat mitigation perspective:
A is correct: Updating AV to block or flag files matching the malicious hash is a standard response.
D is correct: The email address context and hash together provide a precise rule for blocking-this prevents false positives.
Incorrect options:
B overreaches by blocking an entire domain without confirming threat context.
C would stop all PDFs, which is impractical.
E is incorrect; there is no indication that the hash appears in the subject line.
NEW QUESTION # 18
Refer to the exhibit.
Which type of code is being used?
Answer: C
Explanation:
The code in the exhibit is written in Python. Here's how we can confirm:
The function definition uses Python syntax: def function_name(args):
It uses the b64encode and decode functions - typical of Python's base64 module.
Data structures such as dictionaries are used with curly braces (e.g., form_data = {entry1: enc1, ...}).
The conditional syntax uses "if r.status_code == 200:" which is Pythonic.
The request object "r = post(...)" and use of headers show standard use of the Python requests library.
This type of script is typical in exfiltration scenarios where encoded information is sent via a web form (in this case Google Forms), bypassing detection systems.
Reference: CyberOps Technologies (CBRFIR) 300-215 study guide, Chapter on "Working with Malware and Exploit Scripts," which includes analysis of obfuscated and encoded scripts written in Python used for data exfiltration or C2 communication.
NEW QUESTION # 19 
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?
Answer: C
Explanation:
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).
Reference: CyberOps Technologies (CBRFIR) 300-215 study guide, Chapter on Web Attacks and Threat Identification - Directory Fuzzing Patterns.
NEW QUESTION # 20
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