SY0-701 Exam Dumps - CompTIA Security+ Exam 2025

Data classification is the process of assigning labels or tags to data based on its sensitivity, value, and risk. Data classification is the first step in a data loss prevention (DLP) solution, as it helps to identify what data needs to be protected and how. By applying classifications to the data, the security administrator can define appropriate policies and rules for the DLP solution to prevent the exfiltration of sensitive customer data. References: CompTIA Security+ Study Guide: Exam SY0-701, 9th Edition, Chapter 8: Data Protection, page 323. CompTIA Security+ Practice Tests: Exam SY0-701, 3rd Edition, Chapter 8: Data Protection, page 327.

A honeypot is a decoy system or account designed to attract attackers and detect malicious activity. Creating a user account as a trap fits this definition.

Honeytoken (A) is a decoy data element, honeynet (B) is a network of honeypots, and honeyfile (D) is a decoy file.

Honeypots are important tools in Security Operations and incident detection【6:Chapter 14†CompTIA Security+ Study Guide】

A tabletop exercise simulates incident scenarios to test and validate the effectiveness of an organization's Incident Response Plan (IRP), identifying gaps and areas needing updates. It promotes team readiness without disrupting operations.

Addressing audit findings (A), collecting remediation times (B), and calculating ROI (D) are separate activities and not the primary purpose of tabletop exercises.

This practice is an integral part of Security Operations and Incident Response training in SY0-701【6:Chapter 14†CompTIA Security+ Study Guide】.

According to the CompTIA Security+ SY0-701 Certification Study Guide, data subjects are the individuals whose personal data is collected, processed, or stored by an organization. Data subjects have certain rights and expectations regarding how their data is handled, such as the right to access, correct, delete, or restrict their data. Data subjects are different from data owners, who are the individuals or entities that have the authority and responsibility to determine how data is classified, protected, and used. Data subjects are also different from data processors, who are the individuals or entities that perform operations on data on behalf of the data owner, such as collecting, modifying, storing, or transmitting data. Data subjects are also different from data custodians, who are the individuals or entities that implement the security controls and procedures specified by the data owner to protect data while in transit and at rest.

ReferencesCompTIA Security+ SY0-701 Certification Study Guide, Chapter 2: Data Security, page 511

 A honey pot is a system or a network that is designed to mimic a real production server and attract potential attackers. A honey pot can be used to identify the attacker’s methods, techniques, and objectives without affecting the actual production servers. A honey pot can also divert the attacker’s attention from the real targets and waste their time and resources12.

The other options are not effective ways to identify potential attacker activities without affecting production servers:

Video surveillance: This is a physical security technique that uses cameras and monitors to record and observe the activities in a certain area. Video surveillance can help to deter, detect, and investigate physical intrusions, but it does not directly identify the attacker’s activities on the network or the servers3.

Zero Trust: This is a security strategy that assumes that no user, device, or network is trustworthy by default and requires strict verification and validation for every request and transaction. Zero Trust can help to improve the security posture and reduce the attack surface of an organization, but it does not directly identify the attacker’s activities on the network or the servers4.

Geofencing: This is a security technique that uses geographic location as a criterion to restrict or allow access to data or resources. Geofencing can help to protect the data sovereignty andcompliance of an organization, but it does not directly identify the attacker’s activities on the network or the servers5.

References = 1: CompTIA Security+ SY0-701 Certification Study Guide, page 542: Honeypots and Deception – SY0-601 CompTIA Security+ : 2.1, video by Professor Messer3: CompTIA Security+ SY0-701 Certification Study Guide, page 974: CompTIA Security+ SY0-701 Certification Study Guide, page 985: CompTIA Security+ SY0-701 Certification Study Guide, page 99.

A honeypot is a security mechanism set up to attract and detect potential attackers by simulating vulnerable assets. By hosting a part of the infrastructure online with known vulnerabilities that appear to be company assets, the company can observe and analyze the behavior of attackersconducting reconnaissance. This approach allows the company to get alerts and gather intelligence on potential threats.

References = CompTIA Security+ SY0-701 study materials, particularly on threat detection techniques such as honeypots​​.

OSINT (Open Source Intelligence) involves collecting publicly available information, including data breaches, leaked credentials, and other exposed company data found online or on the dark web. OSINT tools can discover if a company’s information has been compromised publicly.

SIEM (Security Information and Event Management) monitors internal logs and events but does not collect external breach info. CVE (Common Vulnerabilities and Exposures) is a database of known software vulnerabilities, not breach data. CVSS (Common Vulnerability Scoring System) rates vulnerabilities' severity.

OSINT is a key technique in the Threats and Vulnerabilities domain for external threat intelligence gathering【6:Chapter 2†CompTIA Security+ Study Guide】.