The Cisco 300-220 exam validates your ability to conduct threat hunting and defend networks using Cisco technologies as part of the Cisco Certified CyberOps Professional credential. This exam is designed for security professionals who work in threat detection, incident response, and defensive operations. This page provides a clear roadmap of exam topics, question formats, and practical preparation strategies to help you study effectively and build confidence before test day.
Use this topic map to guide your study for Cisco 300-220 (Conducting Threat Hunting and Defending using Cisco Technologies for CyberOps) within the Cisco Certified CyberOps Professional path.
The 300-220 exam uses multiple question types to assess both conceptual understanding and practical decision-making in real-world threat scenarios.
Questions progress in difficulty and emphasize practical application, you must not only know the concepts but also apply them to defend networks and conduct effective investigations.
Effective preparation requires mapping the exam topics to a structured study schedule and reinforcing learning through practice. Dedicate time each week to one or two topic areas, then test your knowledge with scenario-based questions. This approach builds both depth and confidence.
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Threat hunting methodologies, network detection and response (NDR), and incident response tend to be heavily tested because they represent core CyberOps professional responsibilities. Expect roughly 25-30% of questions to focus on these areas. The remaining questions are distributed across threat intelligence, Cisco product features, log analysis, and containment strategies. Prioritize hands-on familiarity with Cisco Secure Network Analytics and threat hunting workflows.
While the exam does not require you to configure complex deployments, practical exposure to Cisco Secure Endpoint, Secure Network Analytics, and SecureX dashboards significantly improves your ability to answer scenario-based questions. Aim to spend at least 10-15 hours navigating these interfaces, running searches, and interpreting alerts. Free trial environments or lab access through Cisco Learning Network can provide this exposure without requiring production systems.
Many candidates confuse the capabilities of different Cisco tools, for example, mixing up what Secure Endpoint detects versus what NDR detects. Others misinterpret IOCs or fail to prioritize investigations based on risk and context. A frequent error is selecting a containment action without considering the full incident response workflow. Review explanations for every missed question and build a mental map of which tools address which threats.
In practice, threat intelligence feeds IOCs into detection systems; detections trigger alerts that analysts investigate; investigation findings inform containment and response actions. On the exam, expect questions that require you to trace this flow, for instance, recognizing that a domain from a threat feed matches network traffic, then choosing the appropriate response. Study the end-to-end incident lifecycle, not isolated topics.
Avoid learning new material in your final week; instead, focus on reviewing weak areas identified in practice tests and re-reading explanations. Run one full-length timed mock exam to assess readiness and build confidence. Get adequate sleep, manage test anxiety, and on exam day, read each question carefully, flag uncertain items, and review them if time permits. Trust your preparation and avoid second-guessing correct answers.
Refer to the exhibit.
Refer to the exhibit. A cybersecurity team receives an alert from its Intrusion Prevention System about multiple file changes to a file server. Before the changes were made, the team detected a successful remote sign-in from a user account to the server. Which type of threat occurred?
The correct answer is Unauthorized penetration test. Based on the scenario provided, there is no indication that the observed activity was planned, approved, or coordinated by the organization. Instead, the evidence points to malicious, unauthorized access using a valid user account, followed by destructive actions on the file server.
The exhibit shows multiple file deletions and modifications occurring within a very short time window after a successful remote sign-in. From a professional SOC and threat hunting perspective, this sequence strongly suggests account compromise followed by intentional malicious activity, such as data destruction, ransomware staging, or anti-forensics behavior. Intrusion Prevention System alerts further reinforce that the activity violated security policies, which would not be the case during a sanctioned test.
Option A (White box penetration test) and Option D (Black box penetration test) both describe testing methodologies, not threat types. White box testing is conducted with full internal knowledge and explicit authorization, while black box testing is performed with limited knowledge but still under a formal, approved engagement. In both cases, SOC teams are typically informed ahead of time to prevent unnecessary incident escalation.
Option B (Authorized penetration test) is also incorrect because authorized tests are documented, scoped, and approved by management. They do not involve real user account compromise without prior notification, nor do they trigger IPS alerts treated as genuine incidents.
In contrast, unauthorized penetration testing refers to real-world attacker behavior where an adversary attempts to compromise systems without permission. Even if the attacker's techniques resemble penetration testing tools or methods, the lack of authorization makes it a true security incident.
From a threat hunting and incident response standpoint, this classification is critical. Treating unauthorized activity as a live threat ensures proper containment actions, such as account disabling, credential resets, forensic preservation, and scope expansion. Misclassifying such activity as a test could lead to delayed response and increased damage.
In short, authorization---not technique---determines intent. Since no authorization exists in this scenario, the activity represents an unauthorized penetration attempt, making option C the correct answer.
A SOC analyst using Cisco security tools wants to differentiate threat hunting from traditional detection engineering. Which activity BEST represents threat hunting rather than detection engineering?
The correct answer is formulating a hypothesis to search for credential misuse without alerts. This activity is the defining characteristic of threat hunting.
Threat hunting is proactive and hypothesis-driven, meaning analysts intentionally search for attacker behavior that has not yet triggered alerts. Detection engineering, on the other hand, focuses on building and tuning automated rules that respond to known patterns.
Options A, B, and D all represent reactive or preventative security operations. They rely on known indicators or alerts and are foundational but insufficient against stealthy adversaries who abuse valid credentials and native tools.
Cisco's CBRTHD blueprint explicitly emphasizes hypothesis-based hunting as a core competency. Hunters ask questions like:
''If credentials were stolen, how would that look in our telemetry?''
''What behavior would indicate lateral movement without malware?''
This approach aligns with detecting Indicators of Attack (IOAs) and operating higher on the Pyramid of Pain, forcing adversaries to change tactics instead of infrastructure.
Therefore, Option C is the correct and Cisco-aligned answer.
Refer to the exhibit.
A security engineer notices that a Windows Batch script includes calls to suspicious APIs. How will the script affect the system when it is executed?
The correct answer is Files are encrypted. The exhibit shows a collection of API calls and strings that strongly indicate cryptographic operations associated with file encryption, a common behavior in ransomware and data-encrypting malware.
Key indicators in the script include multiple Windows Cryptographic API function calls such as:
CryptAcquireContextW
CryptCreateHash
CryptHashData
CryptDeriveKey
CryptEncrypt
CryptDecrypt
CryptDestroyKey
CryptReleaseContext
These APIs are part of the Windows CryptoAPI, which is explicitly used to generate cryptographic keys, hash data, and encrypt or decrypt content. The presence of ADVAPI32.dll further confirms cryptographic functionality, as this library provides access to Windows security and encryption services.
Additionally, registry-related APIs such as RegSetValueExA, RegOpenKeyExA, and references to:
Software\Microsoft\Windows\CurrentVersion\Run
indicate that the script may also establish persistence, ensuring the encryption routine executes again after reboot. However, persistence is secondary; the primary functional behavior shown is encryption.
Option A is incorrect because there are no APIs related to disabling networking (such as InternetSetOption or firewall manipulation). Option B is incorrect because retrieving host version information would involve system query APIs like GetVersionEx, which are not present. Option C is incorrect because although the word sleep appears, it is commonly used by malware to delay execution or evade sandboxes---not to place the system into sleep mode.
From a threat hunting and malware analysis perspective, the combination of CryptoAPI usage, registry modification, and internet-related APIs (InternetReadFile, InternetQueryDataAvailable) is a classic ransomware pattern: retrieve data or keys, encrypt local files, and possibly communicate with command-and-control infrastructure.
Professional defenders recognize these API patterns as high-confidence malicious indicators, often mapped to MITRE ATT&CK -- Impact: Data Encrypted for Impact (T1486). Detecting such behavior early is critical to prevent widespread data loss and operational disruption.
In summary, the script's API usage clearly indicates that its execution results in file encryption, making Option D the correct answer.
A threat hunter uses Cisco Secure Endpoint to investigate a suspected credential-harvesting attack that does not involve dropping files to disk. Which capability is MOST critical for detecting this activity?
The correct answer is endpoint process ancestry tracking. Credential harvesting attacks frequently rely on fileless execution and living-off-the-land techniques.
When no files are written to disk, hash-based detection (Option A) is ineffective. Email sandboxing (Option C) and URL filtering (Option D) may detect initial delivery but provide little visibility into post-execution behavior.
Cisco Secure Endpoint provides detailed telemetry on:
Parent-child process relationships
Unexpected process spawning
Abnormal command-line arguments
Memory-resident execution
By analyzing process ancestry, hunters can identify suspicious chains such as:
Office applications spawning scripting engines
Browsers spawning credential-harvesting processes
Legitimate binaries launching unexpected child processes
This capability directly supports MITRE ATT&CK Credential Access and Defense Evasion techniques and is explicitly covered in the CBRTHD exam objectives related to endpoint-based threat hunting.
Thus, Option B is the most accurate and Cisco-aligned answer.
While investigating multiple incidents, analysts notice that attackers consistently use SMB for lateral movement and avoid PowerShell execution. Why is this observation valuable for attribution?
The correct answer is it highlights consistent attacker tradecraft. Attribution depends on recognizing behavioral patterns that persist across campaigns.
Attackers frequently change malware, infrastructure, and exploits, but they are far less likely to change how they prefer to operate. Consistent use of SMB for lateral movement and deliberate avoidance of PowerShell reflect conscious operational choices.
Option A is unrelated to lateral movement behavior. Option B assumes malware development, which may not exist. Option D addresses impact, not attribution.
Cisco-aligned threat hunting uses MITRE ATT&CK technique mapping to correlate observed behaviors with known threat actor profiles. These behavioral fingerprints provide far stronger attribution confidence than low-level indicators.
Therefore, Option C is the correct answer.
