CCNA Cybersecurity Practice Exams for 2026 (200-201 CBROPS)
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CCNA Cybersecurity Practice Exams for 2026 (200-201 CBROPS)

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Prepare to pass the CCNA Cybersecurity (200-201 CBROPS) exam with confidence using this comprehensive set of practice exams designed for 2026. This course offers realistic, scenario-based multiple-choice questions that cover all official exam objectives, including security concepts, monitoring, host and network analysis, policies, procedures, and SOC operations.Through these practice questions, you will:Test your knowledge across every topic outlined by Cisco for the 200-201 exam.Gain in-depth understanding with detailed explanations for each question, highlighting why each answer is correct or incorrect.Identify your strengths and weaknesses, so you can focus your study on areas that need improvement.Simulate the real exam experience, building your confidence and improving your time management skills.Learn practical cybersecurity concepts that can be applied in real-world IT and security roles.Whether you are preparing for certification, refreshing your skills, or seeking hands-on understanding of cybersecurity principles, this course equips you with the knowledge and practice needed to succeed on the exam and in your professional career.Practice Exam Topics:1.0 Security Concepts - (20%)1.0 Describe the CIA triad1.2 Compare security deployments1.2.a Network, endpoint, and application security systems1.2.b Agentless and agent-based protections1.2.c Legacy antivirus and antimalware1.2.d SIEM, SOAR, and log management1.2.e Container and virtual environments1.2.f Cloud security deployments1.3 Describe security terms1.3.a Threat intelligence (TI)1.3.b Threat hunting1.3.c Malware analysis1.3.d Threat actor1.3.e Run book automation (RBA)1.3.f Reverse engineering1.3.g Sliding window anomaly detection1.3.h Threat modeling1.3.i DevSecOps1.4 Compare security concepts1.4.a Risk (risk scoring/risk weighting, risk reduction, risk assessment)1.4.b Threat1.4.c Vulnerability1.4.d Exploit1.5 Describe the principles of the defense-in-depth strategy1.6 Compare access control models1.6.a Discretionary access control1.6.b Mandatory access control1.6.c Nondiscretionary access control1.6.d Authentication, authorization, accounting1.6.e Rule-based access control1.6.f Time-based access control1.6.g Role-based access control1.6.h Attribute-based access control1.7 Describe terms as defined in CVSS1.7.a Attack vector1.7.b Attack complexity1.7.c Privileges required1.7.d User interaction1.7.e Scope1.7.f Temporal metrics1.7.g Environmental metrics1.8 Identify the challenges of data visibility (network, host, and cloud) in detection1.9 Identify potential data loss from traffic profiles1.10 Interpret the 5-tuple approach to isolate a compromised host in a grouped set of logs1.11 Compare rule-based detection vs. behavioral and statistical detection2.0 - Security Monitoring - (25%)2.1 Compare attack surface and vulnerability2.2 Identify the types of data provided by these technologies2.2.a TCP dump2.2.b NetFlow2.2.c Next-gen firewall2.2.d Traditional stateful firewall2.2.e Application visibility and control2.2.f Web content filtering2.2.g Email content filtering2.3 Describe the impact of these technologies on data visibility2.3.a Access control list2.3.b NAT/PAT2.3.c Tunneling2.3.d TOR2.3.e Encryption2.3.f P2P2.3.g Encapsulation2.3.h Load balancing2.4 Describe the uses of these data types in security monitoring2.4.a Full packet capture2.4.b Session data2.4.c Transaction data2.4.d Statistical data2.4.e Metadata2.4.f Alert data2.5 Describe network attacks, such as protocol-based, denial of service, distributed denial of service, and man-in-the-middle2.6 Describe web application attacks, such as SQL injection, command injections, and cross-site scripting2.7 Describe social engineering attacks2.8 Describe endpoint-based attacks, such as buffer overflows, command and control (C2), malware, and ransomware2.9 Describe evasion and obfuscation techniques, such as tunneling, encryption, and proxies2.10 Describe the impact of certificates on security (includes PKI, public/private crossing the network, asymmetric/symmetric)2.11 Identify the certificate components in a given scenario2.11.a Cipher-suite2.11.b X.509 certificates2.11.c Key exchange2.11.d Protocol version2.11.e PKCS3.0 - Host Based Analysis - (20%)3.1 Describe the functionality of these endpoint technologies in regard to security monitoring utilizing rules, signatures and predictive AI3.1.a Host-based intrusion detection3.1.b Antimalware and antivirus3.1.c Host-based firewall3.2 Identify components of an operating system (such as Windows and Linux) in a given scenario3.3 Describe the role of attribution in an investigation3.3.a Assets3.3.b Threat actor3.3.c Indicators of compromise3.3.d Indicators of attack3.3.e Chain of custody3.4 Identify type of evidence used based on provided logs3.4.a Best evidence3.4.b Corroborative evidence3.4.c Indirect evidence3.5 Compare tampered and untampered disk image3.6 Interpret operating system, application, or command line logs to identify an event3.7 Interpret the output report of a malware analysis tool such as a detonation chamber or sandbox3.7.a Hashes3.7.b URLs3.7.c Systems, events, and networking4.0 - Network Intrusion Analysis - (20%)4.1 Map the provided events to source technologies4.1.a IDS/IPS4.1.b Firewall4.1.c Network application control4.1.d Proxy logs4.1.e Antivirus4.1.f Transaction data (NetFlow)4.2 Compare impact and no impact for these items4.2.a False positive4.2.b False negative4.2.c True positive4.2.d True negative4.2.e Benign4.3 Compare deep packet inspection with packet filtering and stateful firewall operation4.4 Compare inline traffic interrogation and taps or traffic monitoring4.5 Compare the characteristics of data obtained from taps or traffic monitoring and transactional data (NetFlow) in the analysis of network traffic4.6 Extract files from a TCP stream when given a PCAP file and Wireshark4.7 Identify key elements in an intrusion from a given PCAP file4.7.a Source address4.7.b Destination address4.7.c Source port4.7.d Destination port4.7.e Protocols4.7.f Payloads4.8 Interpret the fields in protocol headers as related to intrusion analysis4.8.a Ethernet frame4.8.b IPv44.8.c IPv64.8.d TCP4.8.e UDP4.8.f ICMP4.8.g DNS4.8.h SMTP/POP3/IMAP4.8.i HTTP/HTTPS/HTTP24.8.j ARP4.9 Interpret common artifact elements from an event to identify an alert4.9.a IP address (source / destination)4.9.b Client and server port identity4.9.c Process (file or registry)4.9.d System (API calls)4.9.e Hashes4.9.f URI / URL4.10 Interpret basic regular expressions5.0 - Security Policies and Procedures - (15%)5.1 Describe management concepts5.1.a Asset management5.1.b Configuration management5.1.c Mobile device management5.1.d Patch management5.1.e Vulnerability management5.2 Describe the elements in an incident response plan as stated in NIST.SP800-615.3 Apply the incident handling process such as NIST.SP800-61 to an event5.4 Map elements to these steps of analysis based on the NIST.SP800-615.4.a Preparation5.4.b Detection and analysis5.4.c Containment, eradication, and recovery5.4.d Post-incident analysis (lessons learned)5.5 Map the organization stakeholders against the NIST IR categories (CMMC, NIST.SP800-61)5.5.a Preparation5.5.b Detection and analysis5.5.c Containment, eradication, and recovery5.5.d Post-incident analysis (lessons learned)5.6 Describe concepts as documented in NIST.SP800-865.6.a Evidence collection order5.6.b Data integrity5.6.c Data preservation5.6.d Volatile data collection5.7 Identify these elements used for network profiling5.7.a Total throughput5.7.b Session duration5.7.c Ports used5.7.d Critical asset address space5.8 Identify these elements used for server profiling5.8.a Listening ports5.8.b Logged in users/service accounts5.8.c Running processes5.8.d Running tasks5.8.e Applications5.9 Identify protected data in a network5.9.a PII5.9.b PSI5.9.c PHI5.9.d Intellectual property5.10 Classify intrusion events into categories as defined by security models, such as Cyber Kill Chain Model and Diamond Model of Intrusion5.11 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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