SY0-701 Exam Dumps - CompTIA Security+ Exam 2025

A qualitative risk analysis assigns descriptive ratings such as high, medium, or low to risks based on their likelihood and impact without numerical calculations.

Including MTTR/MTBF (A) and ALE/ARO (D) are quantitative methods using metrics. Risk registers (B) document risks but don’t specify analysis type.

Qualitative and quantitative risk methods are fundamental in SY0-701 risk management【6:Chapter 17†CompTIA Security+ Study Guide】.

Comprehensive and Detailed Explanation From Exact Extract:

The greatest advantage of network segmentation is the creation of security zones, which isolate systems into separate logical or physical network sections. According to CompTIA Security+ SY0-701, segmentation is a foundational security architecture practice used to reduce the attack surface, restrict lateral movement, enforce least privilege, and contain breaches. By dividing the network into zones—such as DMZ, internal, restricted, and guest—administrators can apply tailored access controls, firewall rules, IDS/IPS placement, and monitoring boundaries.

Segmentation provides defense-in-depth by preventing attackers from reaching critical systems even if they compromise a less-secure device. It also limits broadcast domains and improves traffic visibility. End-to-end encryption (A) protects confidentiality but is unrelated to segmentation. Decreased resource utilization (B) is not a primary benefit. Enhanced endpoint protection (C) applies to host controls, not network topology. Configuration enforcement (D) is a benefit of centralized management, not segmentation.

Therefore, the correct answer is Security zones, the core outcome and highest-value advantage of segmentation.

Data classification is a process of categorizing data based on its level of sensitivity, value, and impact to the organization if compromised. Data classification helps to determine the appropriate security controls and policies to protect the data from unauthorized access, disclosure, or modification. Different organizations may use different data classification schemes, but a common one is the four-tier model, which consists of the following categories: public, private, sensitive, and critical.

Public data is data that is intended for public access and disclosure, and has no impact to the organization if compromised. Examples of public data include marketing materials, press releases, and public web pages.

Private data is data that is intended for internal use only, and has a low to moderate impact to the organization if compromised. Examples of private data include employee records, financial reports, and internal policies.

Sensitive data is data that is intended for authorized use only, and has a high impact to the organization if compromised. Examples of sensitive data include personal information, health records, and intellectual property.

Critical data is data that is essential for the organization’s operations and survival, and has a severe impact to the organization if compromised. Examples of critical data include encryption keys, disaster recovery plans, and system backups.

Patient data is a type of sensitive data, as it contains personal and health information that is protected by law and ethical standards. Patient data should be used only by authorized personnel for legitimate purposes, and should be secured from unauthorized access, disclosure, or modification. Therefore, the systems administrator should use the sensitive data classification to secure patient data.

References = CompTIA Security+ SY0-701 Certification Study Guide, page 90-91; Professor Messer’s CompTIA SY0-701 Security+ Training Course, video 5.5 - Data Classifications, 0:00 - 4:30.

To ensure that sensitive data, such as Personally Identifiable Information (PII), is not modified, the bank should implement file integrity monitoring (FIM). FIM tracks changes to files and provides alerts if unauthorized modifications are detected, ensuring data integrity.

Full disk encryption protects data at rest but does not prevent or monitor modifications.

Network access control (NAC) manages access to the network but doesn't monitor file changes.

User behavior analytics (UBA) detects suspicious user activities but is not focused on file integrity​​​.

The employee notices that the links in the email do not correspond to the company's official URLs, indicating that this is likely a social engineering attack. Social engineering involves manipulating individuals into divulging confidential information or performing actions that may compromise security. Phishing emails, like the one described, often contain fraudulent links to trick the recipient into providing sensitive information or downloading malware.

Business email refers to business email compromise (BEC), which typically involves impersonating a high-level executive to defraud the company.

Unsecured network is unrelated to the email content.

Default credentials do not apply here, as the issue is with suspicious links, not login credentials​​.