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Cisco 300-220 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Threat Hunting Outcomes and Integration	15%	- Analytical gap diagnosis - Capability improvement and maturity progression - Multi-product integration and visibility improvement
Topic 2: Threat Actor Attribution	15%	- Tactics, techniques and procedures (TTP) analysis - Differentiating APT, commodity and automated threats - Threat intelligence interpretation
Topic 3: Threat Hunting Techniques	20%	- Network-based threat hunting - Endpoint and artifact analysis - Memory forensics and analysis - Command and control (C2) traffic detection - Signature creation and detection - IoT and application-level analysis
Topic 4: Threat Modeling Techniques	10%	- Threat classification and modeling standards - MITRE ATT&CK, CAPEC, TaHiTI, PASTA frameworks
Topic 5: Threat Hunting Processes	20%	- Tool and configuration recommendations - Runbook and playbook development - Remediation and mitigation strategies - Identification of unknown threats and gaps - Reverse engineering and compromise validation
Topic 6: Threat Hunting Fundamentals	20%	- Threat hunting definitions and purpose - Pyramid of Pain framework - Threat Hunting Maturity Model - Role of automation, AI and ML in SOC - Detection tool limitations and evasion techniques

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Cisco Conducting Threat Hunting and Defending using Cisco Technologies for CyberOps Sample Questions (Q63-Q68):

NEW QUESTION # 63
A tactic that indicates a sophisticated threat actor rather than a commodity malware campaign is:

A. Posting threats on social media
B. Use of widely available exploit kits
C. Targeted spear-phishing emails
D. Scanning the internet for vulnerable servers

Answer: C

NEW QUESTION # 64
An augmentation of the detection methodology may necessitate:

A. Relying more heavily on predefined threat signatures
B. Decreasing the variety of data sources monitored
C. Discouraging proactive threat research
D. Implementing a zero-trust architecture

Answer: D

NEW QUESTION # 65
A SOC using Cisco security technologies wants to measure the success of its threat hunting program over time. Which metric BEST reflects increased threat hunting maturity?

A. Volume of threat intelligence feeds ingested
B. Number of blocked IP addresses
C. Number of alerts generated per day
D. Reduction in attacker dwell time

Answer: D

Explanation:
The correct answer isreduction in attacker dwell time. Dwell time measures how long an attacker remains undetected in the environment.
As threat hunting maturity increases:
* Detection becomes faster
* Behavioral coverage improves
* Attackers are identified earlier in the kill chain
Metrics such as alert volume or blocked IPs (Options A and D) do not reflect effectiveness and may even indicate excessive noise. Option B measures inputs, not outcomes.
Cisco'sCBRTHD blueprintfocuses onoutcomes, not activity. Reduced dwell time demonstrates:
* Effective hunting
* Better visibility
* Stronger detection engineering
This metric directly correlates with reduced breach impact and improved resilience.
Therefore,Option Cis the correct and Cisco-aligned answer.

NEW QUESTION # 66
What is the key benefit of understanding threat actor attribution techniques?

A. Streamlining network operations
B. Enhancing data privacy
C. Optimizing cloud storage
D. Strengthening incident response

Answer: D

NEW QUESTION # 67
Analytical gaps in threat hunting methodologies can result in:

A. An overreliance on automated alerting systems
B. Missed detection opportunities
C. Improved threat actor attribution
D. Perfect detection with no false negatives

Answer: B

NEW QUESTION # 68
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