Selected SY0-701 CompTIA Security+ Questions Answers

The correct answer is C. Password, authentication token, thumbprint. This combination of authentication factors satisfies the manager’s goal of implementing multifactor authentication that uses something you know, something you have, and something you are.

Something you know is a type of authentication factor that relies on the user’s knowledge of a secret or personal information, such as a password, a PIN, or a security question. A password is a common example of something you know that can be used to access a VPN12

Something you have is a type of authentication factor that relies on the user’s possession of a physical object or device, such as a smart card, a token, or a smartphone. An authentication token is a common example of something you have that can be used to generate a one-time password (OTP) or a code that can be used to access a VPN12

Something you are is a type of authentication factor that relies on the user’s biometric characteristics, such as a fingerprint, a face, or an iris. A thumbprint is a common example of something you are that can be used to scan and verify the user’s identity to access a VPN12

Data classification is the process of assigning labels to data based on its sensitivity and business impact. Different organizations and sectors may have different data classification schemes, but a common one is the following1:

Public: Data that can be freely disclosed to anyone without any harm or risk.

Private: Data that is intended for internal use only and may cause some harm or risk if disclosed.

Confidential: Data that is intended for authorized use only and may cause significant harm or risk if disclosed.

Restricted: Data that is intended for very limited use only and may cause severe harm or risk if disclosed.

In this scenario, the company is developing a critical system for the government and storing project information on a fileshare. This data is likely to be classified as confidential and restricted, because it is not meant for public or private use, and it may cause serious damage to national security or public safety if disclosed. The government may also have specific requirements or regulations for handling such data, such as encryption, access control, and auditing2. References: 1: CompTIA Security+ Study Guide: Exam SY0-701, 9th Edition, page 16-17 2: Data Classification Practices: Final Project Description Released

The Common Vulnerability Scoring System (CVSS) is a standardized framework for assessing the severity of security vulnerabilities. It helps organizations prioritize vulnerability patching by providing a numerical score that reflects the potential impact and exploitability of a vulnerability. CVSS scores are used to gauge the urgency of patching vulnerabilities within a company’s IT environment.

References =

CompTIA Security+ SY0-701 Course Content: Domain 05 Security Program Management and Oversight​.

CompTIA Security+ SY0-601 Study Guide: Chapter on Vulnerability Management​.

Comprehensive and Detailed Explanation From Exact Extract:

Tokenization is the most effective method for protecting sensitive data at rest within a database. Tokenization replaces sensitive information—such as credit card numbers, SSNs, or personal identifiers—with meaningless surrogate values (tokens). The actual data is stored securely in a separate token vault, reducing exposure if the primary database is compromised.

Hashing (A) is one-way and protects integrity, not usability, making it inappropriate for data that must later be retrieved. Masking (B) hides data from users but does not secure stored data in the database. Obfuscation (D) makes data harder to understand but is reversible and not intended for strong security.

Security+ SY0-701 identifies tokenization as a key control for data-at-rest protection, especially in regulated industries like finance and healthcare. It prevents attackers from accessing real data even if the database is breached, significantly reducing risk and compliance impact. This aligns with the exam’s emphasis on confidentiality and data protection strategies in stored environments.