CompTIA Security+ SY0-701 Dumps PDF

A tabletop exercise is a discussion-based simulation in which stakeholders review and talk through their roles, responsibilities, and actions in response to a hypothetical incident. This allows participants to evaluate and improve response plans without actual disruption.

A Cybersecurity Framework (CSF) provides a structured approach to standardizing and aligning security programs across different organizations. By both companies adopting the same CSF, they can ensure that their security measures, policies, and practices are consistent, which is essential during a merger when aligning two different security programs.

References =

CompTIA Security+ SY0-701 Course Content: The course discusses the importance of adopting standardized cybersecurity frameworks (CSF) for aligning security programs during mergers and acquisitions​​.

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