The correct answer is D. Establish a global IT risk scoring criteria.
When business units use different risk methods, their risk scores are not comparable. One unit's "high" risk may not mean the same thing as another unit's "high" risk. The organization first needs a common risk scoring method so IT risks can be measured, compared, aggregated, and reported consistently across the enterprise.
Option A is not the best first approach because a weighted score is only useful after the organization has consistent scoring criteria. Option B is not appropriate because choosing the highest-rated risk may overstate overall risk appetite and may be based on inconsistent rating methods. Option C is also inappropriate because averaging inconsistent risk scores can produce misleading results.
ISACA's glossary defines risk appetite as the amount of risk an entity is prepared to accept when pursuing its objectives. ISACA also discusses risk appetite in terms of identifying risk the organization is or is not willing to accept in relation to its values, digital strategy, stakeholder impact, and required actions.
This maps to Governance and Management of IT because risk appetite, IT risk management, risk reporting, and governance decision-making are Domain 2 topics in the CISA Exam Content Outline.
References: ISACA CISA Exam Content Outline, Domain 2; ISACA Interactive Glossary, "Risk appetite"; ISACA cyberrisk maturity governance guidance.

Machine shredding is the process of using a shredding machine to physically destroy the media and make the data unrecoverable. This is more effective than software formatting, which only erases the data logically and may leave traces that can be recovered by special tools1. Encrypting and destroying keys may prevent unauthorized access to the data, but it does not erase the data from the media. Wiping and rewriting three times is unnecessary and may reduce the lifespan of the media, especially for solid state drives2. Machine shredding is also recommended by various security standards and guidelines for media disposal345.

The auditor's greatest concern when reviewing data inputs from spreadsheets into the core finance system would be undocumented code that formats data and transmits directly to the database. This is because undocumented code can introduce errors, inconsistencies, and security risks in the data processing and reporting. Undocumented code can also make it difficult to verify the accuracy, completeness, and validity of the data inputs and outputs, as well as to trace the source and destination of the data. Undocumented code can also violate the principles of segregation of duties, as the same person who creates the code may also have access to the data and the database.
The other options are not as concerning as undocumented code, although they may also pose some risks. A lack of complete inventory of spreadsheets and inconsistent file naming may make it challenging to identify and locate the relevant spreadsheets, but they do not directly affect the quality or integrity of the data inputs.
The department data protection policy not being reviewed or updated for two years may indicate a lack of awareness or compliance with the current data protection regulations, but it does not necessarily imply that the data inputs are compromised or inaccurate. Spreadsheets being accessible by all members of the finance department may increase the risk of unauthorized or accidental changes to the data, but it can be mitigated by implementing access controls, password protection, and audit trails.
References:
ISACA, CISA Review Manual, 27th Edition, 2019, p. 2261
Five Common Spreadsheet Risks and Ways to Control Them2
GREATEST Concerns When Reviewing Data Inputs from Spreadsheets3

The IS auditor's best recommendation is to ensure that programmers cannot access code after the completion of program edits. This is because programmers who have access to code after editing may introduce unauthorized or malicious changes that could compromise the security, functionality, or performance of the application. By restricting access to code after editing, the organization can ensure that only authorized and tested code is released into production, and prevent any tampering or reoccurrence of the same issue.
References:
1 discusses the importance of controlling access to code after editing and testing, and provides some best practices for doing so.
2 explains how programmers can introduce malicious code into applications, and how to prevent and detect such attacks.
3 describes the role of IS auditors in reviewing and assessing the security and quality of application code.

The best assurance is obtained by verifying a sample of critical fields. If the question is specifically about encryption at the database level, the auditor should test the actual data elements in the database that are expected to be encrypted. ISACA privacy and data-protection guidance discusses encryption of sensitive data fields as a protection mechanism, which supports validating field-level protection directly.
Option C is correct because it provides direct evidence that sensitive database fields are actually encrypted.
This is stronger than reviewing policies or peripheral settings because it tests the implemented control itself.
Option A is incorrect because drive settings usually relate to disk or full-volume encryption on the host server, not necessarily to database-level encryption of specific sensitive fields.
Option B is incorrect because checking network traffic for clear text transmissions only helps verify encryption in transit, not whether the data is encrypted within the database.
Option D is incorrect because a policy only states intent or requirement. It does not prove the database is actually encrypting sensitive fields.
Therefore, C is the best answer because direct verification of sensitive fields provides the strongest assurance that encryption is implemented at the database level.
References (Official ISACA):
* ISACA Journal, Practical Data Security and Privacy for GDPR and CCPA - discusses encryption of sensitive client data fields.
* ISACA Journal, Privacy-Preserving Analytics and Secure Multiparty Computation - discusses encryption of sensitive data fields throughout the data life cycle.
* ISACA, Cloud Data Sovereignty: Governance and Risk Implications of Cross-Border Cloud Storage - distinguishes encryption at rest and in transit, supporting why network checks alone are insufficient for database-level assurance.