CompTIA Updated SY0-701 Exam Questions and Answers by arnie

FIM stands for File Integrity Monitoring, which is a method to secure data by detecting any changes or modifications to files, directories, or registry keys. FIM can help a security administrator track any unauthorized or malicious changes to the data, as well as verify the integrity and compliance of the data. FIM can also alert the administrator of any potential breaches or incidents involving the data.

Some of the benefits of FIM are:

It can prevent data tampering and corruption by verifying the checksums or hashes of the files.

It can identify the source and time of the changes by logging the user and system actions.

It can enforce security policies and standards by comparing the current state of the data with the baseline or expected state.

It can support forensic analysis and incident response by providing evidence and audit trails of the changes.

 Sanitization is the process of removing sensitive data from a storage device or a system before it is disposed of or reused. Sanitization can be done by using software tools or hardware devices that overwrite the data with random patterns or zeros, making it unrecoverable. Sanitization is different from destruction, which is the physical damage of the storage device to render it unusable. Sanitization is also different from enumeration, which is the identification of network resources or devices, and inventory, which is the tracking of assets and their locations. The policy of securely wiping hard drives before sending decommissioned systems to recycling is an example of sanitization, as it ensures that no confidential data can be retrieved from the recycled devices. References = Secure Data Destruction – SY0-601 CompTIA Security+ : 2.7, video at 1:00; CompTIA Security+ SY0-701 Certification Study Guide, page 387.

Nessus is the best answer because it is a dedicated vulnerability assessment scanner. Its purpose is to scan systems, services, ports, configurations, missing patches, weak protocols, and known CVEs, then produce a report of discovered weaknesses. That directly matches the requirement to “identify potential security weaknesses” on a target network. Metasploit is mainly an exploitation framework used to validate or exploit vulnerabilities, not the best first-choice vulnerability assessment tool. Burp Suite is primarily used for web application testing, not broad network vulnerability assessment. Wireshark captures and analyzes packets, which is useful for troubleshooting and traffic inspection but does not perform vulnerability assessment. For Security+, Nessus maps clearly to vulnerability scanning and assessment.

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The correct answer is C. Agree on data classification labels with stakeholders.

Before moving proprietary company data to a public cloud storage service, the organization must first determine how the data should be classified. Data classification identifies the sensitivity, ownership, regulatory requirements, and handling requirements of the data. Examples of classification labels may include public, internal, confidential, restricted, private, regulated, or proprietary.

This aligns with CompTIA Security+ SY0-701 concepts related to protecting data, cloud security considerations, and governance. A security engineer cannot properly evaluate cloud risks, encryption needs, access controls, retention rules, compliance requirements, or contractual protections until the organization agrees on what type of data is being moved and how sensitive it is.

Why the other options are incorrect:

A. Create an architecture diagram of cloud storage solutions.

This is useful later, but it should not be the first step. The architecture depends on the data classification and security requirements.

B. Migrate sample data to the cloud to run security tests.

This is premature and risky. Data should not be moved to the cloud before classification, risk analysis, access control requirements, and compliance requirements are understood.

D. Make a backup of the data on cloud-neutral storage.

Backups are important, but they do not address the first security concern: understanding the sensitivity and handling requirements of the proprietary data.

Therefore, the best first action is to agree on data classification labels with stakeholders.