Isaca Updated CISA Exam Questions and Answers by byron

 The best process for continuous auditing for a large financial institution is validating access controls for real-time data systems. This is because access controls are critical for ensuring the confidentiality, integrity, and availability of the financial data that is processed and transmitted by the real-time data systems. Real-time data systems are systems that provide timely and accurate information to support decision-making and transactions in a dynamic and complex environment. Examples of real-time data systems in the financial sector include payment systems, trading platforms, risk management systems, and fraud detection systems. Continuous auditing of access controls can help detect and prevent unauthorized access, data leakage, data manipulation, or data loss that could compromise the security, reliability, or compliance of the real-time data systems.

Testing encryption standards on the disaster recovery system is not the best process for continuous auditing for a large financial institution. Encryption standards are important for protecting the data stored or transmitted by the disaster recovery system, which is a system that provides backup and recovery capabilities in case of a disruption or disaster. However, testing encryption standards is not a continuous process, but rather a periodic or event-driven process that can be performed as part of the disaster recovery plan testing or validation.

Performing parallel testing between systems is not the best process for continuous auditing for a large financial institution. Parallel testing is a process of comparing the results of two or more systems that perform the same function or task, such as a new system and an old system, or a primary system and a backup system. Parallel testing can help verify the accuracy, consistency, and compatibility of the systems. However, parallel testing is not a continuous process, but rather a temporary or transitional process that can be performed as part of the system implementation or migration.

Validating performance of help desk metrics is not the best process for continuous auditing for a large financial institution. Help desk metrics are indicators that measure the efficiency, effectiveness, and quality of the help desk service, which is a service that provides technical support and assistance to the users of information systems and technology. Help desk metrics can include metrics such as response time, resolution time, customer satisfaction, and service level agreement (SLA) compliance. Validating performance of help desk metrics can help evaluate and improve the help desk service. However, validating performance of help desk metrics is not a continuous auditing process, but rather a continuous monitoring process that can be performed by the help desk management or quality assurance team.

 The greatest concern associated with a high number of IT policy exceptions approved by management is that the exceptions may result in noncompliance. IT policy exceptions are deviations from the established IT policies that are granted by management for specific reasons and circumstances. However, if there are too many exceptions, it may indicate that the IT policies are not aligned with the business needs, regulatory requirements, or best practices. This may expose the organization to legal, contractual, or reputational risks due to noncompliance. The other options are not as concerning as noncompliance, as they do not have the same potential impact or consequences. The exceptions are likely to continue indefinitely is a possible outcome of a high number of exceptions, but it does not necessarily imply a negative effect on the organization. The exceptions may elevate the level of operational risk is a valid concern, but it can be mitigated by implementing compensating controls or monitoring mechanisms. The exceptions may negatively impact process efficiency is a minor concern, as it does not affect the effectiveness or reliability of the IT processes. References: CISA Review Manual (Digital Version), Chapter 3, Section 3.2

Capacity management must consider business changes to ensure IT resources can meet future demand. If changes to critical systems are omitted from planning, capacity forecasts will be inaccurate, leading to risks of downtime, bottlenecks, and unplanned outages. A six-month review (A) might be acceptable depending on system dynamics. Lack of administrator input (C) and reliance on service management (D) reduce planning quality but are less critical than missing major business drivers. COBIT DSS01 (Managed Operations) and APO02 (Managed Strategy) emphasize alignment between IT capacity and business requirements.

References (ISACA): COBIT® 2019, DSS01 Managed Operations; APO02 Managed Strategy.