Isaca Updated CISA Exam Questions and Answers by reeva

The type of risk that would most influence the selection of a sampling methodology is detection risk (option D). This is because:

Detection risk is the risk that the auditor will not detect a material misstatement that exists in an assertion1. Detection risk depends on the effectiveness of the audit procedures and how well they are applied by the auditor1.

The selection of a sampling methodology is part of the design of audit procedures, which aims to reduce detection risk to an acceptable level1. The auditor should consider the following factors when selecting a sampling methodology23:

The objectives of the audit procedure and the related assertions.

The characteristics of the population from which the sample will be drawn, such as its size, homogeneity, and structure.

The sampling technique to be used, such as random, systematic, haphazard, or judgmental.

The sample size and the method of selecting sample items.

The evaluation of the sample results and the projection of errors to the population.

The auditor should also consider the advantages and disadvantages of different sampling methodologies, such as statistical and non-statistical sampling23. Statistical sampling is a sampling technique that uses random selection and probability theory to evaluate sample results. Non-statistical sampling is a sampling technique that does not use random selection or probability theory to evaluate sample results. Some of the advantages and disadvantages are as follows23:

Statistical sampling allows the auditor to measure and control sampling risk, which is the risk that the sample is not representative of the population. Statistical sampling also allows the auditor to quantify the precision and reliability of the sample results. However, statistical sampling requires more technical knowledge and skills, as well as more time and cost, than non-statistical sampling.

Non-statistical sampling relies on the auditor’s professional judgment and experience to select and evaluate sample items. Non-statistical sampling is more flexible and less complex than statistical sampling. However, non-statistical sampling does not provide an objective basis for measuring and controlling sampling risk, nor does it allow the auditor to quantify the precision and reliability of the sample results.

Therefore, the type of risk that would most influence the selection of a sampling methodology is detection risk (option D), as it determines how effective and efficient the audit procedures should be in order to provide sufficient appropriate audit evidence.

An application’s audit trail is a record of all actions or events that occur within or affect an application, such as user activities, system operations, data changes, errors, exceptions, etc. An audit trail can provide evidence and accountability for an application’s functionality and performance, and support auditing, monitoring, troubleshooting, and investigation purposes. An IS auditor should ensure that an application’s audit trail has adequate security, which means that it is protected from unauthorized access, modification, deletion, or disclosure. Adequate security can help ensure that an audit trail maintains its integrity, reliability, and availability, and prevents tampering or manipulation by attackers or insiders who want to hide their tracks or evidence of their actions. Logs all database records is a possible feature of an application’s audit trail, but it is not the most important thing for an IS auditor to ensure, as logging all database records may not be necessary or feasible for some applications, and may generate excessive or irrelevant data that can affect the storage or analysis of the audit trail. Is accessible online is a possible feature of an application’s audit trail, but it is not the most important thing for an IS auditor to ensure, as online accessibility may not be required or desirable for some applications, and may introduce security or privacy risks for the audit trail. Does not impact operational efficiency is a desirable outcome of an application’s audit trail, but it is not the most important thing for an IS auditor to ensure, as operational efficiency may not be the primary objective or concern of an application’s audit trail, and may depend on other factors or trade-offs such as storage capacity, performance speed, or data quality. 

Data classification is the first consideration when deciding whether data should be moved to a cloud provider for storage because it determines the level of protection and security required for the data. Data classification also helps to identify the legal and regulatory requirements that apply to the data, such as privacy, retention and disposal policies. Data storage costs, vendor cloud certification and service level agreements (SLAs) are important factors to consider, but they are secondary to data classification. References: CISAReview Manual (Digital Version) 1, Chapter 5, Section 5.3.2