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所在平台: Udemy |
课程主页: https://www.udemy.com/course/cisco-certified-cyberops-professional-practice-exam-questions/
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课程名称：思科网络安全运营专业认证（350-201 CBRCOR）2025 课程概述： ITCertify Zone提供的此课程旨在帮助考生准备“使用思科安全技术进行网络安全运营（CBRCOR 350-201）”考试，该考试为120分钟的评估，与思科网络安全运营专业认证相关。课程重点关注网络安全运营的关键领域，包括基础知识、技术、流程和自动化。 课程大纲： 1. 基础知识 - 理解剧本中的组成部分。 - 根据特定剧本场景识别必要工具。 - 将剧本应用于常见情况，如未授权访问提升、DoS和DDoS攻击以及网站篡改。 - 了解行业合规标准，包括PCI、FISMA、FedRAMP、SOC、SOX、GDPR、数据隐私和ISO 27101。 - 解释网络风险保险的目的。 - 分析风险元素，包括资产、脆弱性和威胁。 - 实施事件响应工作流。 - 使用事件响应指标识别改进区域。 - 描述不同的云环境安全操作比较，如IaaS和PaaS。 2. 技术 - 针对特定需求或问题推荐数据分析方法。 - 描述部署机器镜像的加固过程。 - 评估资产的安全姿态。 - 识别安全控制、识别差距并提出改进建议。 - 推荐针对给定场景的补丁建议。 - 提出基于特定情况禁用服务的建议。 - 应用网络分段策略，利用网络控制进行系统加固。 - 解释威胁情报平台（TIP）在自动化中的使用。 - 应用适当工具进行威胁情报分析。 - 描述防止数据丢失的机制及其在各个环境中的执行。 3. 流程 - 分析威胁模型中的组件，确定常见案件的调查步骤。 - 应用恶意软件分析过程步骤，进行样本提取、识别、反向工程等。 - 调查不同平台的潜在终端入侵情况，识别已知的妥协指示器（IOC）和攻击指示器（IOA）。 - 推荐针对脆弱性问题的一般缓解措施，提出风险分析的下一步建议。 4. 自动化 - 比较编排与自动化概念、平台与机制。 - 理解基本脚本（如Python）的构成，修改脚本以自动化安全操作任务。 - 识别数据自动化的机会，理解API使用中的限制条件。 - 评估HTTP响应的组成部分，并应用DevOps原则于安全操作中。 目标受众： 本课程面向希望通过350-201 CBRCOR考试并提升威胁检测和响应技能的网络安全专业人士、安全运营中心（SOC）分析师及IT人员。
ITCertify Zone offers a course tailored to prepare candidates for the Performing CyberOps Using Cisco Security Technologies v1.1 (CBRCOR 350-201) exam, a 120-minute assessment associated with the Cisco CyberOps Professional Certification. This course focuses on key areas of cybersecurity operations, including fundamentals, techniques, processes, and automation.Course Outline:1. FundamentalsInterpret components within a playbook.Identify necessary tools based on specific playbook scenarios.Apply playbooks to common situations such as unauthorized access elevation, DoS and DDoS attacks, and website defacement.Understand industry compliance standards, including PCI, FISMA, FedRAMP, SOC, SOX, GDPR, Data Privacy, and ISO 27101.Explain the purpose of cyber risk insurance.Analyze elements of risk, including assets, vulnerabilities, and threats.Implement the incident response workflow.Identify areas for improvement using incident response metrics.Describe various cloud environments.Compare security operations across different cloud platforms, such as IaaS and PaaS.2. TechniquesRecommend data analytics methods to address specific needs or questions.Describe the process of hardening machine images for deployment.Evaluate an asset's security posture.Assess security controls, identify gaps, and suggest improvements.Identify resources for industry standards on system hardening.Provide patching recommendations for given scenarios.Suggest services to disable based on specific situations.Apply network segmentation strategies.Utilize network controls for system hardening.Determine implications and provide recommendations for SecDevOps.Explain the use of a Threat Intelligence Platform (TIP) for automation.Apply threat intelligence using relevant tools.Understand concepts related to data loss, leakage, and data at rest, in motion, and in use.Describe mechanisms to detect and enforce data loss prevention across endpoints, networks, applications, and cloud environments.Recommend tuning of devices and software across rules, filters, and policies.Describe security data management concepts.Use tools for security data analytics.Recommend workflows for escalation and automation of issues.Apply dashboard data for communication with technical teams and leadership.Analyze anomalous user and entity behavior (UEBA).Determine appropriate actions based on user behavior alerts.Describe network analysis tools and their limitations, including packet capture, traffic analysis, and log analysis.Evaluate artifacts in packet capture files.Troubleshoot detection rules.Identify tactics, techniques, and procedures (TTPs) from an attack.3. ProcessesAnalyze components in a threat model.Determine investigation steps for common types of cases.Apply steps in the malware analysis process, including extracting and identifying samples (e.g., packet capture), performing reverse engineering and dynamic malware analysis, identifying the need for static malware analysis, and performing static analysis to share results.Interpret the sequence of attack events based on traffic patterns.Investigate potential endpoint intrusions across various platforms, including desktops, laptops, IoT devices, and mobile platforms.Identify known Indicators of Compromise (IOCs) and Indicators of Attack (IOAs).Investigate IOCs in sandbox environments and generate complex indicators.Investigate potential data loss across multiple vectors, such as cloud, endpoint, and server environments.Recommend general mitigation steps for vulnerability issues.Suggest next steps for vulnerability triage and risk analysis using industry scoring systems, such as CVSS.4. AutomationCompare orchestration and automation concepts, platforms, and mechanisms.Interpret basic scripts, such as those written in Python.Modify scripts to automate security operations tasks.Recognize common data formats, including JSON, HTML, CSV, and XML.Identify opportunities for automation, orchestration, and machine learning.Understand constraints when consuming APIs, such as rate limits, timeouts, and payload considerations.Explain common HTTP response codes associated with REST APIs.Evaluate parts of an HTTP response, including the code, headers, and body.Interpret API authentication mechanisms, such as basic authentication, tokens, and API keys.Utilize Bash commands for file management, directory navigation, and handling environmental variables.Describe components of a CI/CD pipeline.Apply DevOps principles in security operations.Describe the principles of Infrastructure as Code.Intended Audience:This course is tailored for cybersecurity professionals, SOC analysts, and IT staff aiming to pass the 350-201 CBRCOR exam and enhance their skills in threat detection and response.
