CISSP Dumps With Exact Questions and Answers

 When implementing a data classification program, it is important to avoid too much granularity, because the process will require too many resources. Data classification is the process of assigning a level of sensitivity or criticality to data based on its value, impact, and legal requirements. Data classification helps to determine the appropriate security controls and handling procedures for the data. However, data classification is not a simple or straightforward process, as it involves many factors, such as the nature, context, and scope of the data, the stakeholders, the regulations, and the standards. If the data classification program has too many levels or categories of data, it will increase the complexity, cost, and time of the process, and reduce the efficiency and effectiveness of the data protection. Therefore, data classification should be done with a balance between granularity and simplicity, and follow the principle of proportionality, which means that the level of protection should be proportional to the level of risk.

The other options are not the main reasons to avoid too much granularity in data classification, but rather the potential challenges or benefits of data classification. It will be difficult to apply to both hardware and software is a challenge of data classification, as it requires consistent and compatible methods and tools for labeling and protecting data across different types of media and devices. It will be difficult to assign ownership to the data is a challenge of data classification, as it requires clear and accountable roles and responsibilities for the creation, collection, processing, and disposal of data. The process will be perceived as having value is a benefit of data classification, as it demonstrates the commitment and awareness of the organization to protect its data assets and comply with its obligations.

 When developing an information security management system (ISMS), an initial consideration is to understand the value of the information assets that the organization owns or processes. An information asset is any data, information, or knowledge that has value to the organization and supports its mission, objectives, and operations. Understanding the value of the information assets helps to determine the appropriate level of protection and investment for them, as well as the potential impact and consequences of losing, compromising, or disclosing them. Understanding the value of the information assets also helps to identify the stakeholders, owners, and custodians of the information assets, and their roles and responsibilities in the ISMS.

The other options are not initial considerations, but rather subsequent or concurrent considerations when developing an ISMS. Identifying the contractual security obligations that apply to the organizations is a consideration that depends on the nature, scope, and context of the information assets, as well as the relationships and agreements with the external parties. Identifying the level of residual risk that is tolerable to management is a consideration that depends on the risk appetite and tolerance of the organization, as well as the risk assessment and analysis of the information assets. Identifying relevant legislative and regulatory compliance requirements is a consideration that depends on the legal and ethical obligations and expectations of the organization, as well as the jurisdiction and industry of the information assets.

In a data classification scheme, the data is owned by the business managers. Business managers are the persons or entities that have the authority and accountability for the creation, collection, processing, and disposal of a set of data. Business managers are also responsible for defining the purpose, value, and classification of the data, as well as the security requirements and controls for the data. Business managers should be able to determine the impact the information has on the mission of the organization, which means assessing the potential consequences of losing, compromising, or disclosing the data. The impact of the information on the mission of the organization is one of the main criteria for data classification, which helps to establish the appropriate level of protection and handling for the data.

The other options are not the data owners in a data classification scheme, but rather the other roles or functions related to data management. System security managers are the persons or entities that oversee the security of the information systems and networks that store, process, and transmit the data. They are responsible for implementing and maintaining the technical and physical security of the data, as well as monitoring and auditing the security performance and incidents. Information Technology (IT) managers are the persons or entities that manage the IT resources and services that support the business processes and functions that use the data. They are responsible for ensuring the availability, reliability, and scalability of the IT infrastructure and applications, as well as providing technical support and guidance to the users and stakeholders. End users are the persons or entities that access and use the data for their legitimate purposes and needs. They are responsible for complying with the security policies and procedures for the data, as well as reporting any security issues or violations.