Cisco Exam 200-201 Questions Answers Test Simulator

200-201 Exam Topics

1.0 Security Concepts 20%

• 1.1 Describe the CIA triad
• 1.2 Compare security deployments
  • 1.2.a Network, endpoint, and application security systems
  • 1.2.b Agentless and agent-based protections
  • 1.2.c Legacy antivirus and antimalware
  • 1.2.d SIEM, SOAR, and log management

• 3 Describe security terms

• • 1.3.a Threat intelligence (TI)
  • 1.3.b Threat hunting
  • 1.3.c Malware analysis
  • 1.3.d Threat actor
  • 1.3.e Run book automation (RBA)
  • 1.3.f Reverse engineering
  • 1.3.g Sliding window anomaly detection
  • 1.3.h Principle of least privilege
  • 1.3.i Zero trust
  • 1.3.j Threat intelligence platform (TIP)

• 4 Compare security concepts

• • 1.4.a Risk (risk scoring/risk weighting, risk reduction, risk assessment)
  • 1.4.b Threat
  • 1.4.c Vulnerability
  • 1.4.d Exploit

• 5 Describe the principles of the defense-in-depth strategy
• 6 Compare access control models

• • 1.6.a Discretionary access control
  • 1.6.b Mandatory access control
  • 1.6.c Nondiscretionary access control
  • 1.6.d Authentication, authorization, accounting
  • 1.6.e Rule-based access control
  • 1.6.f Time-based access control
  • 1.6.g Role-based access control

• 7 Describe terms as defined in CVSS

• • 1.7.a Attack vector
  • 1.7.b Attack complexity
  • 1.7.c Privileges required
  • 1.7.d User interaction
  • 1.7.e Scope

• 8 Identify the challenges of data visibility (network, host, and cloud) in detection
  • 9 Identify potential data loss from provided traffic profiles
• 10 Interpret the 5-tuple approach to isolate a compromised host in a grouped set of logs
• 11 Compare rule-based detection vs. behavioral and statistical detection

2.0 Security Monitoring 25%

• 1 Compare attack surface and vulnerability
• 2 Identify the types of data provided by these technologies

• • 2.2.a TCP dump
  • 2.2.b NetFlow
  • 2.2.c Next-gen firewall
  • 2.2.d Traditional stateful firewall
  • 2.2.e Application visibility and control
  • 2.2.f Web content filtering
  • 2.2.g Email content filtering

• 3 Describe the impact of these technologies on data visibility

• • 2.3.a Access control list
  • 2.3.b NAT/PAT
  • 2.3.c Tunneling
  • 2.3.d TOR
  • 2.3.e Encryption
  • 2.3.f P2P
  • 2.3.g Encapsulation
  • 2.3.h Load balancing

• 4 Describe the uses of these data types in security monitoring

• • 2.4.a Full packet capture
  • 2.4.b Session data
  • 2.4.c Transaction data
  • 2.4.d Statistical data
  • 2.4.e Metadata
  • 2.4.f Alert data

• 5 Describe network attacks, such as protocol-based, denial of service, distributed denial of service, and man-in-the-middle
• 6 Describe web application attacks, such as SQL injection, command injections, and cross-site scripting
• 7 Describe social engineering attacks
• 8 Describe endpoint-based attacks, such as buffer overflows, command and control (C2), malware, and ransomware
• 9 Describe evasion and obfuscation techniques, such as tunneling, encryption, and proxies
• 10 Describe the impact of certificates on security (includes PKI, public/private crossing the network, asymmetric/symmetric)
• 11 Identify the certificate components in a given scenario

• • 2.11.a Cipher-suite
  • 2.11.b X.509 certificates
  • 2.11.c Key exchange
  • 2.11.d Protocol version
  • 2.11.e PKCS

3.0 Host-Based Analysis 20%

• 1 Describe the functionality of these endpoint technologies in regard to security monitoring

• • 3.1.a Host-based intrusion detection
  • 3.1.b Antimalware and antivirus
  • 3.1.c Host-based firewall
  • 3.1.d Application-level listing/block listing
  • 3.1.e Systems-based sandboxing (such as Chrome, Java, Adobe Reader)

• 2 Identify components of an operating system (such as Windows and Linux) in a given scenario
• 3 Describe the role of attribution in an investigation

• • 3.3.a Assets
  • 3.3.b Threat actor
  • 3.3.c Indicators of compromise
  • 3.3.d Indicators of attack
  • 3.3.e Chain of custody

• 4 Identify type of evidence used based on provided logs

• • 3.4.a Best evidence
  • 3.4.b Corroborative evidence
  • 3.4.c Indirect evidence

• 5 Compare tampered and untampered disk image
• 6 Interpret operating system, application, or command line logs to identify an event
• 7 Interpret the output report of a malware analysis tool (such as a detonation chamber or sandbox)

• • 3.7.a Hashes
  • 3.7.b URLs
  • 3.7.c Systems, events, and networking

4.0 Network Intrusion Analysis 20%

• 1 Map the provided events to source technologies

• • 4.1.a IDS/IPS
  • 4.1.b Firewall
  • 4.1.c Network application control
  • 4.1.d Proxy logs
  • 4.1.e Antivirus
  • 4.1.f Transaction data (NetFlow)

• 2 Compare impact and no impact for these items

• • 4.2.a False positive
  • 4.2.b False negative
  • 4.2.c True positive
  • 4.2.d True negative
  • 4.2.e Benign

• 3 Compare deep packet inspection with packet filtering and stateful firewall operation
• 4 Compare inline traffic interrogation and taps or traffic monitoring
• 5 Compare the characteristics of data obtained from taps or traffic monitoring and transactional data (NetFlow) in the analysis of network traffic
• 6 Extract files from a TCP stream when given a PCAP file and Wireshark
• 7 Identify key elements in an intrusion from a given PCAP file

• • 4.7.a Source address
  • 4.7.b Destination address
  • 4.7.c Source port
  • 4.7.d Destination port
  • 4.7.e Protocols
  • 4.7.f Payloads

• 8 Interpret the fields in protocol headers as related to intrusion analysis

• • 4.8.a Ethernet frame
  • 4.8.b IPv4
  • 4.8.c IPv6
  • 4.8.d TCP
  • 4.8.e UDP
  • 4.8.f ICMP
  • 4.8.g DNS
  • 4.8.h SMTP/POP3/IMAP
  • 4.8.i HTTP/HTTPS/HTTP2
  • 4.8.j ARP

• 9 Interpret common artifact elements from an event to identify an alert

• • 4.9.a IP address (source / destination)
  • 4.9.b Client and server port identity
  • 4.9.c Process (file or registry)
  • 4.9.d System (API calls)
  • 4.9.e Hashes
  • 4.9.f URI / URL

• 10 Interpret basic regular expressions

5.0 Security Policies and Procedures 15%

• 1 Describe management concepts

• • 5.1.a Asset management
  • 5.1.b Configuration management
  • 5.1.c Mobile device management
  • 5.1.d Patch management
  • 5.1.e Vulnerability management

• 2 Describe the elements in an incident response plan as stated in NIST.SP800-61
• 3 Apply the incident handling process (such as NIST.SP800-61) to an event
• 4 Map elements to these steps of analysis based on the NIST.SP800-61

• • 5.4.a Preparation
  • 5.4.b Detection and analysis
  • 5.4.c Containment, eradication, and recovery
  • 5.4.d Post-incident analysis (lessons learned)

• 5 Map the organization stakeholders against the NIST IR categories (CMMC, NIST.SP800-61)

• • 5.5.a Preparation
  • 5.5.b Detection and analysis
  • 5.5.c Containment, eradication, and recovery
  • 5.5.d Post-incident analysis (lessons learned)

• 6 Describe concepts as documented in NIST.SP800-86

• • 5.6.a Evidence collection order
  • 5.6.b Data integrity
  • 5.6.c Data preservation
  • 5.6.d Volatile data collection

• 7 Identify these elements used for network profiling

• • 5.7.a Total throughput
  • 5.7.b Session duration
  • 5.7.c Ports used
  • 5.7.d Critical asset address space

• 8 Identify these elements used for server profiling

• • 5.8.a Listening ports
  • 5.8.b Logged in users/service accounts
  • 5.8.c Running processes
  • 5.8.d Running tasks
  • 5.8.e Applications

• 9 Identify protected data in a network

• • 5.9.a PII
  • 5.9.b PSI
  • 5.9.c PHI
  • 5.9.d Intellectual property

• 10 Classify intrusion events into categories as defined by security models, such as Cyber Kill Chain Model and Diamond Model of Intrusion
• 11 Describe the relationship of SOC metrics to scope analysis (time to detect, time to contain, time to respond, time to control)

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