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350-201 CISCO Performing CyberOps Using Cisco SecurityReference

Reference: https://www.cisco.com/c/en/us/training-events/training-certifications/exams/current-list/350-201-cbrcor.html

Cisco 350-201 Exam Topics:

Section	Weight	Objectives
Techniques	30%	- Recommend data analytic techniques to meet specific needs or answer specific questions - Describe the use of hardening machine images for deployment - Describe the process of evaluating the security posture of an asset - Evaluate the security controls of an environment, diagnose gaps, and recommend improvement - Determine resources for industry standards and recommendations for hardening of systems - Determine patching recommendations, given a scenario - Recommend services to disable, given a scenario - Apply segmentation to a network - Utilize network controls for network hardening - Determine SecDevOps recommendations (implications) - Describe use and concepts related to using a Threat Intelligence Platform (TIP) to automate intelligence - Apply threat intelligence using tools - Apply the concepts of data loss, data leakage, data in motion, data in use, and data at rest based on common standards - Describe the different mechanisms to detect and enforce data loss prevention techniques host-based network-based application-based cloud-based - Recommend tuning or adapting devices and software across rules, filters, and policies - Describe the concepts of security data management - Describe use and concepts of tools for security data analytics - Recommend workflow from the described issue through escalation and the automation needed for resolution - Apply dashboard data to communicate with technical, leadership, or executive stakeholders - Analyze anomalous user and entity behavior (UEBA) - Determine the next action based on user behavior alerts - Describe tools and their limitations for network analysis (for example, packet capture tools, traffic analysis tools, network log analysis tools) - Evaluate artifacts and streams in a packet capture file - Troubleshoot existing detection rules - Determine the tactics, techniques, and procedures (TTPs) from an attack
Processes	30%	- Prioritize components in a threat model - Determine the steps to investigate the common types of cases - Apply the concepts and sequence of steps in the malware analysis process: Extract and identify samples for analysis (for example, from packet capture or packet analysis tools) Perform reverse engineering Perform dynamic malware analysis using a sandbox environment Identify the need for additional static malware analysis Perform static malware analysis Summarize and share results - Interpret the sequence of events during an attack based on analysis of traffic patterns - Determine the steps to investigate potential endpoint intrusion across a variety of platform types (for example, desktop, laptop, IoT, mobile devices) - Determine known Indicators of Compromise (IOCs) and Indicators of Attack (IOAs), given a scenario - Determine IOCs in a sandbox environment (includes generating complex indicators) - Determine the steps to investigate potential data loss from a variety of vectors of modality (for example, cloud, endpoint, server, databases, application), given a scenario - Recommend the general mitigation steps to address vulnerability issues - Recommend the next steps for vulnerability triage and risk analysis using industry scoring systems (for example, CVSS) and other techniques
Fundamentals	20%	- Interpret the components within a playbook - Determine the tools needed based on a playbook scenario - Apply the playbook for a common scenario (for example, unauthorized elevation of privilege, DoS and DDoS, website defacement) - Infer the industry for various compliance standards (for example, PCI, FISMA, FedRAMP, SOC, SOX, PCI, GDPR, Data Privacy, and ISO 27101) - Describe the concepts and limitations of cyber risk insurance - Analyze elements of a risk analysis (combination asset, vulnerability, and threat) - Apply the incident response workflow - Describe characteristics and areas of improvement using common incident response metrics - Describe types of cloud environments (for example, IaaS platform) - Compare security operations considerations of cloud platforms (for example, IaaS, PaaS)
Automation	20%	- Compare concepts, platforms, and mechanisms of orchestration and automation - Interpret basic scripts (for example, Python) - Modify a provided script to automate a security operations task - Recognize common data formats (for example, JSON, HTML, CSV, XML) - Determine opportunities for automation and orchestration - Determine the constraints when consuming APIs (for example, rate limited, timeouts, and payload) - Explain the common HTTP response codes associated with REST APIs - Evaluate the parts of an HTTP response (response code, headers, body) - Interpret API authentication mechanisms: basic, custom token, and API keys - Utilize Bash commands (file management, directory navigation, and environmental variables) - Describe components of a CI/CD pipeline - Apply the principles of DevOps practices - Describe the principles of Infrastructure as Code

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Automation – 20%

Defying the constraints when consuming APIs.
Modifying a provided script for the automation of security operations tasks;
Using the common HTTP response codes that are associated with REST APIs;
Utilizing the Bash commands;
Comparing the platforms, mechanisms, and concepts of orchestration & automation;
Using the basic scripts like Python and common data formats, such as CSV, HTML, JSON, and XML;
Interpreting the API authentication mechanisms, which include custom token and API keys;

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