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Exam Code: CS0-002
Exam Name: CompTIA Cybersecurity Analyst (CySA+) Certification Exam
Updated: Jun 26, 2026
Q & A: 371 Questions and Answers
CS0-002 Free Demo download
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| Topic | Details |
|---|---|
Threat and Vulnerability Management - 22% | |
| Explain the importance of threat data and intelligence. | 1. Intelligence sources
2. Confidence levels
4. Threat classification
5. Threat actors
6. Intelligence cycle
7. Commodity malware
|
| Given a scenario, utilize threat intelligence to support organizational security. | 1. Attack frameworks
2. Threat research
3. Threat modeling methodologies
3. Threat intelligence sharing with supported functions
|
| Given a scenario, perform vulnerability management activities. | 1. Vulnerability identification
2. Validation
3. Remediation/mitigation
4. Scanning parameters and criteria
5. Inhibitors to remediation
|
| Given a scenario, analyze the output from common vulnerability assessment tools. | 1.Web application scanner
2.Infrastructure vulnerability scanner
3.Software assessment tools and techniques
4.Enumeration
5. Wireless assessment tools
6. Cloud infrastructure assessment tools
|
| Explain the threats and vulnerabilities associated with specialized technology. | 1. Mobile 2. Internet of Things (IoT) 3. Embedded 4. Real-time operating system (RTOS) 5. System-on-Chip (SoC) 6. Field programmable gate array (FPGA) 7. Physical access control 8. Building automation systems 9. Vehicles and drones
10. Workflow and process automation systems
|
| Explain the threats and vulnerabilities associated with operating in the cloud. | 1. Cloud service models
2. Cloud deployment models
3. Function as a Service (FaaS)/serverless architecture
|
| Given a scenario, implement controls to mitigate attacks and software vulnerabilities. | 1. Attack types
2. Vulnerabilities
|
Software and Systems Security - 18% | |
| Given a scenario, apply security solutions for infrastructure management. | 1. Cloud vs. on-premises 2. Asset management
3. Segmentation
4. Network architecture
5. Change management
7. Containerization
9. Cloud access security broker (CASB) |
| Explain software assurance best practices. | 1. Platforms Mobile Web application Client/server Embedded System-on-chip (SoC) Firmware 2. Software development life cycle (SDLC) integration 3. DevSecOps 4. Software assessment methods User acceptance testing Stress test application Security regression testing Code review 5. Secure coding best practices Input validation Output encoding Session management Authentication Data protection Parameterized queries 6. Static analysis tools 7. Dynamic analysis tools 8. Formal methods for verification of critical software 9. Service-oriented architecture
|
| Explain hardware assurance best practices. | 1. Hardware root of trust Trusted platform module (TPM) Hardware security module (HSM) 2. eFuse 3. Unified Extensible Firmware Interface (UEFI) 4. Trusted foundry 5. Secure processing
6. Anti-tamper |
Security Operations and Monitoring - 25% | |
| Given a scenario, analyze data as part of security monitoring activities. | 1. Heuristics 2. Trend analysis 3. Endpoint
4. Network
5. Log review
6. Impact analysis
7. Security information and event management (SIEM) review
8. Query writing
9. E-mail analysis
|
| Given a scenario, implement configuration changes to existing controls to improve security. | 1. Permissions 2. Whitelisting 3. Blacklisting 4. Firewall 5. Intrusion prevention system (IPS) rules 6. Data loss prevention (DLP) 7. Endpoint detection and response (EDR) 8. Network access control (NAC) 9. Sinkholing 10. Malware signatures
11. Sandboxing |
| Explain the importance of proactive threat hunting. | 1. Establishing a hypothesis 2. Profiling threat actors and activities 3. Threat hunting tactics
4. Reducing the attack surface area |
| Compare and contrast automation concepts and technologies. | 1. Workflow orchestration
2. Scripting
9. Continuous integration |
Incident Response - 22% | |
| Explain the importance of the incident response process. | 1. Communication plan
2. Response coordination with relevant entities
3. Factors contributing to data criticality
|
| Given a scenario, apply the appropriate incident response procedure. | 1. Preparation
2. Detection and analysis
3. Containment
4. Eradication and recovery
5. Post-incident activities
|
| Given an incident, analyze potential indicators of compromise. | 1. Network-related
2. Host-related
3. Application-related
|
| Given a scenario, utilize basic digital forensics techniques. | 1. Network
2. Endpoint
3. Mobile
9. Carving |
Compliance and Assessment - 13% | |
| Understand the importance of data privacy and protection. | 1. Privacy vs. security 2. Non-technical controls
3. Technical controls
|
| Given a scenario, apply security concepts in support of organizational risk mitigation. | 1. Business impact analysis 2. Risk identification process 3. Risk calculation
4. Communication of risk factors
6. Systems assessment
9. Supply chain assessment
|
| Explain the importance of frameworks, policies, procedures, and controls. | 1. Frameworks
2. Policies and procedures
3. Category
4. Control type
5. Audits and assessments
|
This subject has the least amount of questions that you can face with during the exam and covers only three subtopics. Thus, your knowledge of data protection and privacy, understanding of policies, controls, frameworks, and procedures, and skills in applying security concepts in support of organizational risk mitigation will be measured. It is vital to know about technical and non-technical controls, supply chain assessment, documented compensating controls, audits and assessments, and risk identification process.
As for this objective, you need to understand the importance of the incident response process, be able to apply the appropriate incident response procedure, as well as have the relevant skills in analyzing all the potential indicators of compromise and utilizing the basic digital forensics techniques. These areas cover the details of communication plans, detection and analysis procedures, post-incident activities, hashing, data acquisition, containment, and response coordination with relevant entities.
In this section, you will learn the importance of intelligence and threat data, which includes the details of treat classification, intelligence sources and cycle, indicator management, and threat actors. This means that you should know about Structured Threat Information eXpression, open-source and proprietary/closed-source intelligence, as well as known vs. unknown threats. Also, the area covers the ways to use threat intelligence to support organizational security and the processes to perform vulnerability management activities. These subtopics include threat modeling methodologies, threat research, attack frameworks, vulnerability identification, as well as remediation/mitigation.
In addition, you should know how to analyze the output from the common vulnerability assessment tools and which vulnerabilities and threats can be associated with certain technology. Therefore, it is required to have knowledge of infrastructure vulnerability scanner, Cloud infrastructure, wireless, and software assessment tools and techniques, as well as field programmable gate array and industrial control system. Moreover, you need to be able to work with vulnerabilities and threats that can occur during the operations in Cloud and be knowledgeable to mitigate software vulnerabilities and attacks with the help of the implementation of controls. These include your full understanding of attack types, Cloud service models, FaaS, insecure API, and IaC.
This domain evaluates your skills in applying security solutions for infrastructure management as well as using software assurance best practices and hardware assurance best practices. These three subtopics cover asset management, segmentation, virtualization, network architecture, secure coding best practices, Unified Extensible Firmware Interface, secure processing, service-oriented architecture, etc.
This is the largest topic area of the whole exam content that includes 4 big subtopics that you need to study. They contain the evaluation of your skills in analyzing data as a part of security monitoring activities and implementing configuration changes to existing controls for the improvement of security. This means that you must know about query writing, trend, impact, and E mail analysis, as well as permissions, allow list and blocklist, data loss prevention, and sandboxing. Also, it is important to know about the proactive threat hunting and be able to contrast and compare automation technologies and concepts. It includes threat hunting tactics, hypothesis establishment, attack vectors, workflow orchestration, API integration, machine learning, and automated malware signature creation.
Reference: https://www.comptia.org/certifications/cybersecurity-analyst
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