Isaca CISA Exam With Confidence Using Practice Dumps

 The strategy that would provide the greatest assurance of system quality at implementation is delivering only the core functionality on the initial target date. This strategy can help avoid compromising the quality of the system by focusing on the essential features that meet the user needs and expectations. Delivering only the core functionality can also help reduce the scope creep, complexity, and testing efforts of the system development project.

Implementing overtime pay and bonuses for all development staff, utilizing new system development tools to improve productivity, and recruiting IS staff to expedite system development are not strategiesthat would provide the greatest assurance of system quality at implementation. These strategies may help speed up the system development process, but they may also introduce new risks or challenges such as burnout, learning curve, integration issues, or communication gaps. These risks or challenges may adversely affect the quality of the system.

 Sampling risk is the risk that the auditor’s conclusion based on a sample may be different from the conclusion that would be reached if the entire population was tested using the same audit procedure. Sampling risk can lead to either incorrect rejection or incorrect acceptance of the audit objective. The best way to minimize sampling risk is to perform statistical sampling. Statistical sampling is a method of selecting and evaluating a sample using probability theory and mathematical calculations. Statistical sampling allows auditors to measure and control the sampling risk by determining the appropriate sample size and selection method, and evaluating the results using confidence levels and precision intervals. Statistical sampling can also provide more objective and consistent results than judgmental sampling, which relies on the auditor’s professional judgment and experience.

References:

6: Sampling Risks: Definition, Example, and Explanation - Wikiaccounting

7: Sampling Risk in Audit | Sampling vs non sampling risk - Accountinguide

9: Audit sampling | ACCA Qualification | Students | ACCA Global

 The organizational policies and procedures are the first source of guidance for an IS auditor when planning a customer data privacy audit. They provide the framework and objectives for ensuring compliance with legal and regulatory requirements, customer agreements and data classification. The IS auditor should review them first to understand the scope, roles and responsibilities, standards and controls related to customer data privacy in the organization. The other options are also important, but they are secondary sources of information thatshould be reviewed after the organizational policies and procedures. References: CISA Review Manual (Digital Version) 1, Chapter 2: Governance and Management of Information Technology, Section 2.5: Privacy Principles and Policies.