Isaca Updated CISA Exam Questions and Answers by khalid

 The first step when developing a data loss prevention (DLP) solution for a large organization is to conduct a data inventory and classification exercise. This step is essential to identify the types, locations, owners, and sensitivity levels of the data that need to be protected by the DLP solution. A data inventory and classification exercise helps to define the scope, objectives, and requirements of the DLP solution, as well as to prioritize the data protection efforts based on the business value and risk of the data. A data inventory and classification exercise also enables the organization to comply with relevant laws and regulations regarding data privacy and security.

The other options are not the first step when developing a DLP solution, but rather subsequent steps that depend on the outcome of the data inventory and classification exercise. Identifying approved data workflows across the enterprise is a step that helps to design and implement the DLP policies and controls that match the business processes and data flows. Conducting a threat analysis against sensitive data usage is a step that helps to assess and mitigate the risks associated with data leakage, theft, or misuse. Creating the DLP policies and templates is a step that helps to enforce the data protection rules and standards across the organization.

References:

ISACA CISA Review Manual 27th Edition (2019), page 247

Data Loss Prevention—Next Steps - ISACA1

What is data loss prevention (DLP)? | Microsoft Security

The most important thing to determine during the planning phase of a cloud-based messaging and collaboration platform acquisition is the types of data that can be uploaded to the platform. This is because different types of data may have different security, privacy, and compliance requirements, depending on the nature, sensitivity, and value of the data. For example, personal data, financial data, health data, or intellectual property data may be subject to various laws and regulations that govern how they can be collected, stored, processed, and shared in the cloud. Therefore, it is essential to identify and classify the types of data that will be uploaded to the platform, and ensure that the platform meets the organization’s policies and standards for data protection1.

The other options are not as important as the types of data that can be uploaded to the platform during the planning phase of a cloud-based messaging and collaboration platform acquisition. Option A, role-based access control policies, is a mechanism that defines who can access what data and resources on the platform based on their roles and responsibilities. Role-based access control policies are important for ensuring data security and accountability, but they can be designed and implemented after the platform is acquired2. Option C, processes for on-boarding and off-boarding users to the platform, are procedures that enable or disable user accounts and access rights on the platform. Processes for on-boarding and off-boarding users are important for managing user identities and lifecycles, but they can be developed and executed after the platform is acquired3. Option D, processes for reviewing administrator activity, are methods that monitor and audit the actions and events performed by administrators on the platform. Processes for reviewing administrator activity are important for detecting and preventing unauthorized or malicious activities, but they can be established and performed after the platform is acquired4.

References:

Cloud Messaging and Collaboration Services - Maryland.gov DoIT4

MessageBird acquires real-time notifications and in-app messaging platform Pusher for $35M | TechCrunch2

Symphony to lead financial market communications with the acquisition of Cloud9 Technologies3

Cloud messaging and collaboration | Sumo Logic

 The most effective way for an organization to help ensure agreed-upon action plans from an IS audit will be implemented is to ensure ownership is assigned. This means that the management of the audited area should accept responsibility for implementing the action plans and report on their progress and completion to the audit committee or senior management. This will ensure accountability, commitment, and follow-up for the audit recommendations34. References: 3: CISA Review Manual (Digital Version), Chapter 1: The Process of Auditing Information Systems, Section 1.6: Reporting, page 41 4: CISA Online Review Course, Module 1: The Process of Auditing Information Systems, Lesson 1.6: Reporting

The best reason to implement a data retention policy is to limit the liability associated with storing and protecting information. A data retention policy is a document that defines how long data should be kept by an organization and how they should be disposed of when they are no longer needed. A data retention policy should comply with the applicable laws and regulations that govern the data retention requirements and obligations of organizations, such as tax laws, privacy laws, or industry standards4. Implementing a data retention policy can help to limit the liability associated with storing and protecting information by reducing the amount of data that need to be stored and secured, minimizing the risk of data breaches or leaks, ensuring compliance with legal or contractual obligations, and avoiding potential fines or penalties for non-compliance5. The other options are less relevant or incorrect because:

B. Documenting business objectives for processing data within the organization is not a reason to implement a data retention policy, as it is more related to data governance than data retention. Data governance refers to the policies, procedures, and controls that define how data are collected, used, managed, and shared within an organization. Data governance helps to ensure that data are aligned with business objectives and support decision making6.

C. Assigning responsibility and ownership for data protection outside IT is not a reason to implement a data retention policy, as it is more related to data accountability than data retention. Data accountability refers to the identification and assignment of roles and responsibilities for data protection among different stakeholders within an organization. Data accountability helps to ensure that data are handled appropriately and securely by authorized parties7.

D. Establishing a recovery point objective (RPO) for disaster recovery procedures is not a reason to implement a data retention policy, as it is more related to data backup than data retention. Data backup refers to the process of creating copies of data that can be restored in case of data loss or corruption. Data backup helps to ensure that data are available and recoverable in case of disaster8. RPO is a measure of the maximum amount of data that can be lost or acceptable in case of disaster9. References: Data Retention Policy - ISACA, Data Retention - ISACA, Data Governance - ISACA, Data Accountability - ISACA, Data Backup - ISACA, Recovery Point Objective - ISACA