CISA Exam Dumps - Certified Information Systems Auditor

Aligning IT strategy with business strategy primarily helps an organization to optimize investments in IT. This is because alignment ensures that IT resources and capabilities are aligned with the business goals and priorities, and that IT delivers value to the business in terms of efficiency, effectiveness, innovation, and competitive advantage12. By aligning IT strategy with business strategy, an organization can avoid wasting money and time on IT projects or services that do not support or contribute to the business outcomes3. Alignment also helps to identify and prioritize the most critical and valuable IT initiatives that can create or optimize business value4.

Therefore, the correct answer to your question is A. optimize investments in IT.

 Fine tuning the intrusion detection system (IDS) is the best recommendation to reduce the number of false positive alerts that overwhelm the log management system, because it can help adjust the sensitivity and accuracy of the IDS rules and signatures to match the network environment and traffic patterns. Establishing criteria for reviewing alerts, recruiting more monitoring personnel, and reducing thefirewall rules are not effective solutions to address theroot cause of the false positive alerts, but rather ways to cope with the consequences. References: CISA Review Manual (Digital Version), Chapter 5, Section5.4.3

 Version control is a process of managing changes to an application or a document. It ensures that only the latest approved version of the application is used by end-users, which reduces the risk of errors, inconsistencies, and unauthorized modifications. Version control also allows tracking the history of changes and restoring previous versions if needed. 

Hashing is a technique that transforms data into a fixed-length value, called a hash or a digest, that uniquely represents the original data. Hashing can be used to validate the integrity of data communicated between production databases and a big data analytics system by comparing the hash values of the data before and after the communication. If the hash values match, the data has not been altered; if they differ, the data has been tampered with or corrupted. Hashing is a better security control than encrypting, running and comparing the count function, or hosting a digital certificate for this purpose because:

Encrypting in-scope data sets can protect the confidentiality of the data, but not necessarily the integrity. Encryption algorithms can be broken or bypassed by malicious actors, or encryption keys can be compromised or lost. Moreover, encryption adds overhead to the communication process and may affect the performance of the big data analytics system.

Running and comparing the count function within the in-scope data sets can only verify the number of records or elements in the data sets, but not the content or quality of the data. The count function cannot detect any changes or errors in the data values, such as missing, duplicated, corrupted, or manipulated data.

Hosting a digital certificate for in-scope data sets can provide authentication and non-repudiation for the data sources, but not integrity for the data itself. A digital certificate is a document that contains information about the identity and public key of an entity, such as a person, organization, or device. A digital certificate does not contain or verify the actual data that is communicated between production databases and a big data analytics system.

The greatest concern with the lack of structure for technology risk governance is C. Key decision-making entities for technology risk have not been identified. Technology risk governance is the process of establishing and maintaining the policies, roles, responsibilities, and accountabilities for managing technology risks within an organization1. Technology risk governance requires a clear organizational structure that defines who has the authority and responsibility to make decisions, set objectives, allocate resources, monitor performance, and ensure compliance for technology risk management2. Without such a structure, an organization may face the following challenges:

Lack of alignment and integration between technology and business strategies, leading to suboptimal outcomes and missed opportunities.

Lack of clarity and consistency in technology risk identification, assessment, mitigation, and reporting, leading to gaps and overlaps in risk coverage and exposure.

Lack of communication and collaboration among different stakeholders involved in technology risk management, leading to conflicts and inefficiencies.

Lack of oversight and accountability for technology risk management activities and results, leading to poor quality and reliability.

The best answer is D. Maturity model.

ISACA states that maturity models are becoming the common language used by organizations to understand the current state of their COBIT implementations and to support gap analysis and road maps for improvement. That is exactly what this question asks: measuring the current state of IT processes against leading practices.

Option A provides direction, but policies do not measure current state. Option B can provide comparison with peers, but benchmarking is not the primary mechanism for assessing process capability or maturity against good practice levels. Option C provides structure for controls, but a control framework alone does not inherently measure present maturity. A maturity model is the specific tool for assessing where the organization currently stands and how far it is from desired practice levels.

References (Official ISACA):

ISACA Journal, Building a Maturity Model for COBIT 2019 Based on CMMI.

ISACA Journal, A Holistic Approach to Controls, Risk and Maturity.

ISACA, Effective Capability and Maturity Assessment Using COBIT 2019.