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350-201 questions


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Cisco Exam 350-201 Questions Answers Test Simulator

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350-201 Exam Topics

1.0 Fundamentals 20%

  • Interpret the components within a playbook
  • 2 Determine the tools needed based on a playbook scenario
  • 3 Apply the playbook for a common scenario (for example, unauthorized elevation ofprivilege, DoS and DDoS, website defacement)
  • 4Infer the industry for various compliance standards (for example, PCI, FISMA, FedRAMP, SOC, SOX, PCI, GDPR, Data Privacy, and ISO 27101)
  • 5 Describe the concepts and limitations of cyber risk insurance
  • 6 Analyze elements of a risk analysis (combination asset, vulnerability, and threat)
  • 7 Apply the incident response workflow
  • 8 Describe characteristics and areas of improvement using common incident response metrics
  • 9Describe types of cloud environments (for example, IaaS platform)
  • 10 Compare security operations considerations of cloud platforms (for example, IaaS, PaaS)

2.0 Techniques 30%

  • 1 Recommend data analytic techniques to meet specific needs or answer specific questions
  • 2 Describe the use of hardening machine images for deployment
  • 3 Describe the process of evaluating the security posture of an asset
  • 4 Evaluate the security controls of an environment, diagnose gaps, and recommend improvement
  • 5 Determine resources for industry standards and recommendations for hardening of systems
  • 6 Determine patching recommendations, given a scenario
  • 7Recommend services to disable, given a scenario
  • 8Apply segmentation to a network
  • 9 Utilize network controls for network hardening
  • 10 Determine SecDevOps recommendations (implications)
  • 11 Describe use and concepts related to using a Threat Intelligence Platform (TIP) to automate intelligence
  • 12 Apply threat intelligence using tools
  • 13 Apply the concepts of data loss, data leakage, data in motion, data in use, and data at rest based on common standards
  • 14 Describe the different mechanisms to detect and enforce data loss prevention techniques
    • 14.ahost-based
    • 14.bnetwork-based
    • 14.capplication-based
    • 14.dcloud-based
  • 15 Recommend tuning or adapting devices and software across rules, filters, and policies
  • 16 Describe the concepts of security data management
  • 17 Describe use and concepts of tools for security data analytics
  • 18 Recommend workflow from the described issue through escalation and the automation needed for resolution
  • 19 Apply dashboard data to communicate with technical, leadership, or executive stakeholders
  • 20 Analyze anomalous user and entity behavior (UEBA)
  • 21 Determine the next action based on user behavior alerts
  • 22 Describe tools and their limitations for network analysis (for example, packet capture tools, traffic analysis tools, network log analysis tools)
  • 23 Evaluate artifacts and streams in a packet capture file
  • 24 Troubleshoot existing detection rules
  • 25 Determine the tactics, techniques, and procedures (TTPs) from an attack

3.0 Processes 30%

  • 1 Prioritize components in a threat model
  • 2 Determine the steps to investigate the common types of cases
  • 3 Apply the concepts and sequence of steps in the malware analysis process:
    • 3.a Extract and identify samples for analysis (for example, from packet capture or packet analysis tools)
    • 3.b Perform reverse engineering
    • 3.c Perform dynamic malware analysis using a sandbox environment
    • 3.dIdentify the need for additional static malware analysis
    • 3.e Perform static malware analysis
    • 3.fSummarize and share results
  • 4 Interpret the sequence of events during an attack based on analysis of traffic patterns
  • 5 Determine the steps to investigate potential endpoint intrusion across a variety of platform types (for example, desktop, laptop, IoT, mobile devices)
  • 6 Determine known Indicators of Compromise (IOCs) and Indicators of Attack (IOAs), given a scenario
  • 7 Determine IOCs in a sandbox environment (includes generating complex indicators)
  • 8 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
  • 9 Recommend the general mitigation steps to address vulnerability issues
  • 10Recommend the next steps for vulnerability triage and risk analysis using industry scoring systems (for example, CVSS) and other techniques

4.0 Automation 20%

  • 1 Compare concepts, platforms, and mechanisms of orchestration and automation
  • 2 Interpret basic scripts (for example, Python)
  • 3 Modify a provided script to automate a security operations task
  • 4 Recognize common data formats (for example, JSON, HTML, CSV, XML)
  • 5 Determine opportunities for automation and orchestration
  • 6 Determine the constraints when consuming APIs (for example, rate limited, timeouts, and payload)
  • 7 Explain the common HTTP response codes associated with REST APIs
  • 8 Evaluate the parts of an HTTP response (response code, headers, body)
  • 9 Interpret API authentication mechanisms: basic, custom token, and API keys
  • 10 Utilize Bash commands (file management, directory navigation, and environmental variables)
  • 11 Describe components of a CI/CD pipeline
  • 12 Apply the principles of DevOps practices
  • 13 Describe the principles of Infrastructure as Code

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