CISA Exam Dumps - Certified Information Systems Auditor

The first thing that an IS auditor should evaluate when reviewing an organization’s response to new privacy legislation is the analysis of systems that contain privacy components. Privacy components are elements of a system that collect, process, store, or transmit personal information that is subject to privacy legislation. An analysis of systems that contain privacy components should identify what types of personal information are involved, where they are located, how they are used, who has access to them, and what risks or threats they face. An analysis of systems that contain privacy components is essential for determining the scope and impact of the new privacy legislation on the organization’s systems and processes.

The other options are not as important as option D. An implementation plan for restricting the collection of personal information is a possible action, but not the first thing to evaluate, when reviewing an organization’s response to new privacy legislation. An implementation plan for restricting the collection of personal information is a document that outlines how an organization will comply with the principle of data minimization, which states that personal information should be collected only for specific and legitimate purposes and only to the extent necessary for those purposes. An implementation plan for restricting the collection of personal information should be based on an analysis of systems that contain privacy components. Privacy legislation in other countries that may contain similar requirements is a possible source of reference, but not the first thing to evaluate, when reviewing an organization’s response to new privacy legislation. Privacy legislation in other countries that may contain similar requirements is a set of laws or regulations that governs the protection of personal information in other jurisdictions that may have comparable or compatible standards or expectations as the new privacy legislation. Privacy legislation in other countries that may contain similar requirements may provide guidance or best practices for complying with the new privacy legislation. However, privacy legislation in other countries that may contain similar requirements should not be used as a substitute foran analysis of systems that contain privacy components. An operational plan for achieving compliance with the legislation is a possible deliverable, but not the first thing to evaluate, when reviewing an organization’s response to new privacy legislation. An operational plan for achieving compliance with the legislation is a document that describes how an organization will implement and maintain the necessary policies, procedures, controls, and measures to comply with the new privacy legislation. An operational plan for achieving compliance with the legislation should be derived from an analysis of systems that contain privacy components. References: Privacy law - Wikipedia, Data Protection and Privacy Legislation Worldwide | UNCTAD, Data minimization - Wikipedia

The type of review that is most important to conduct when an IS auditor is informed that a recent internal exploitation of a bug has been discovered in a business application is C. Forensic audit. A forensic audit is a type ofaudit that involves collecting, analyzing, and preserving evidence of fraud, corruption, or other illegal or unethical activities1. A forensic audit can help the IS auditor to identify and document the source, scope, and impact of the exploitation, as well as the perpetrators, motives, and methods involved. A forensic audit can also help the IS auditor to provide recommendations for preventing or mitigating future exploitations, and to support any legal actions or investigations that may arise from the incident2.

The absence of a right-to-audit clause in the outsourcing contract for a cloud service provider would be of greatest concern to an IS auditor1. This clause gives the client the right to audit the service provider’s activities that are relevant to the services being provided1. It is crucial for ensuringthat the service provider is complying with the terms of the contract and meeting the client’s standards for performance, security, and other aspects1. Without this clause, the client may not be able to effectively monitor and manage risks associated with the outsourcing arrangement1.

The main risk associated with adding a new system functionality during the development phase without following a project change management process is that the new functionality may not meet requirements (option B). This is because:

A project change management process is a set of procedures that defines how changes to the project scope, schedule, budget, quality, or resources are requested, evaluated, approved, implemented, and controlled12.

A project change management process helps to ensure that the changes are aligned with the project objectives, stakeholders’ expectations, and business needs12.

Adding a new system functionality during the development phase without following a project change management process can introduce risks such as:

The added functionality has not been documented (option A), which can lead to confusion, inconsistency, errors, and rework3.

The project may fail to meet the established deadline (option C), which can result in delays, penalties, and customer dissatisfaction3.

The project may go over budget (option D), which can cause cost overruns, financial losses, and reduced profitability3.

However, the main risk is that the new functionality may not meet requirements (option B), which can have serious consequences such as:

The new functionality may not be compatible with the existing system or other components3.

The new functionality may not be tested or verified for quality, performance, security, or usability3.

The new functionality may not deliver the expected value or benefits to the users or customers3.

The new functionality may not comply with the regulatory or contractual obligations3.

The new functionality may cause dissatisfaction, complaints, or litigation from the stakeholders3.

Therefore, the main risk associated with adding a new system functionality during the development phase without following a project change management process is that the new functionality may not meet requirements (option B), as this can jeopardize the success and acceptance of the project.

Given the large volume of data transactions, continuous monitoring is the best testing strategy for auditing the inventory control process. Continuous monitoring involves the automated review of operational and financial data to identify anomalies or areas of concern12. This approach allows for real-time identification and resolution of issues, making it particularly effective for large organizations with high transaction volumes12.

The sampling method in which the entire sample is considered to be irregular if a single error is found is discovery sampling. Discovery sampling is a type of statistical sampling that is used to test for the existence of at least one occurrence of a specific characteristic or condition in a population. Discovery sampling is often used when the auditor expects the characteristic or condition to be very rare or nonexistent, and when any occurrence would have a significant impact on the audit objective. For example, discovery sampling can be used to test for fraud, noncompliance, or material misstatement.

Discovery sampling works by setting a very low tolerable error rate (the maximum rate of occurrence of the characteristic or condition that the auditor is willing to accept) and a high confidence level (the degree of assurance that the auditor wants to obtain). The auditor then selects a sample from the population using a random or systematic method, and examines each item in the sample for the presence or absence of the characteristic or condition. If no error is found in the sample, the auditor can conclude with a high level of confidence that the characteristic or condition does not exist or is very rare in the population. However, if one or more errors are found in the sample, the auditor cannot draw any conclusion about the population and must either expand the sample size or perform alternative procedures.

Discovery sampling differs from other sampling methods in that it does not allow for any errors in the sample. Other sampling methods, such as variable sampling, stop-or-go sampling, or judgmental sampling, can tolerate some errors in the sample and use them to estimate the error rate or amount in the population. However, discovery sampling is designed to test for zero-tolerance situations, where any error would be unacceptable or material. Therefore, discovery sampling considers the entire sample to be irregular if a single error is found.

Data migration is the process of moving data from one system to another, which may involve changes in storage, database, or application. To perform a successful data migration, it is essential to understand the data structure of the new system, which defines how the data is organized, stored, and accessed. Understanding the new system’s data structure will help determine the following aspects of the data migration project:

The scope and requirements of the data migration, such as what data needs to be migrated, how much data needs to be migrated, and what are the quality and performance expectations.

The data mapping and transformation rules, such as how the data elements from the source system correspond to the data elements in the target system, and what transformations or conversions are needed to ensure compatibility and consistency.

The data validation and testing methods, such as how to verify that the migrated data is accurate, complete, and functional in the new system, and how to identify and resolve any errors or issues.

Therefore, understanding the new system’s data structure is a crucial first step in a data migration project, as it lays the foundation for the subsequent steps of data extraction, transformation, loading, validation, and testing.

An IS auditor should be consulted during the requirements definition phase to recommend security controls. This ensures that security considerations are integrated from the beginning of the software development life cycle, leading to more secure software design and implementation.

References

ISACA CISA Review Manual 27th Edition, Page 240-241 (SDLC Phases)