The answer D is correct because the number of reopened tickets is the best indicator for measuring the performance of IT help desk function. Reopened tickets are tickets that have been marked as resolved by the help desk agents, but the customers are not satisfied with the resolution and reopen them for further assistance. Reopened tickets reflect the quality and effectiveness of the help desk service, as well as the customer satisfaction level. A high number of reopened tickets indicates that the help desk agents are not resolving the issues properly, or that they are not communicating well with the customers. This can lead to customer frustration, dissatisfaction, and churn. Therefore, minimizing the number of reopened tickets is a key goal for any help desk function.
The other options are not as good as option D. Percentage of problems raised from incidents (option A) is a metric that shows how many incidents are escalated to problems, which are more complex and require root cause analysis and long-term solutions. This metric reflects the complexity and severity of the issues faced by the customers, but it does not directly measure the performance of the help desk function. Mean time to categorize tickets (option B) is a metric that shows how long it takes for the help desk agents to assign a category to each ticket, such as technical, billing, or feedback. This metric reflects the efficiency and accuracy of the help desk agents, but it does not measure the quality or effectiveness of the resolution. Number of incidents reported (option C) is a metric that shows how many issues are reported by the customers to the help desk function. This metric reflects the demand and workload of the help desk function, but it does not measure how well the issues are resolved or how satisfied the customers are.
References:
* Key Metrics to Measure Help Desk Performance
* 8 service desk KPIs and performance metrics for IT support
* 13 Most Important Help Desk KPIs to Track and Measure Help Desk Performance

The best recommendation to prevent fraudulent electronic funds transfers by accounts payable employees is dual control. Dual control is a segregation of duties control that requires two or more individuals to perform or authorize a transaction or activity. Dual control can prevent fraudulent electronic funds transfers by requiring independent verification and approval of payment requests, amounts, and recipients by different accounts payable employees. The other options are not as effective as dual control in preventing fraudulent electronic funds transfers, as they do not involve independent checks or approvals. Periodic vendor reviews are detective controls that can help identify any irregularities or anomalies in vendor payments, but they do not prevent fraudulent electronic funds transfers from occurring. Independent reconciliation is a detective control that can help compare and confirm payment records with bank statements, but it does not prevent fraudulent electronic funds transfers from occurring. Re-keying of monetary amounts is an input control that can help detect any errors or discrepancies in payment amounts, but it does not prevent fraudulent electronic funds transfers from occurring. References: CISA Review Manual (Digital Version), Chapter 3, Section 3.2

The best method to safeguard data on an organization's laptop computers is full disk encryption. Full disk encryption is a technique that encrypts all the data stored on a hard drive, including the operating system, applications, files, and folders. This means that if the laptop is lost, stolen, or accessed by an unauthorized person, they will not be able to read or modify any data without knowing the encryption key or password. Full disk encryption provides a strong level of protection for data at rest, as it prevents data leakage or exposure in case of physical theft or loss of the device.
References:
* How to Protect the Data on Your Laptop
* 6 Steps to Practice Strong Laptop Security

The record-locking option of a database management system (DBMS) serves to eliminate the risk of concurrent updates to a record by different users or transactions. Record locking is a technique of preventing simultaneous access to data in a database, to prevent inconsistent results1. For example, if two bank clerks try to update the same bank account for two different transactions, record locking can ensure that only one clerk can modify the record at a time, while the other has to wait until the lock is released. This way, the record will reflect both transactions correctly and avoid data corruption.
Record locking does not serve to allow database administrators (DBAs) to record the activities of users. This is a function of auditing or logging, which can track the actions performed by users on the database2. Record locking does not affect the ability of DBAs to monitor or audit user activities.
Record locking does not serve to restrict users from changing certain values within records. This is a function of access control or authorization, which can enforce rules or policies on what data users can view or modify2. Record locking does not affect the permissions or privileges of users on the database.
Record locking does not serve to allow users to lock others out of their files. This is a function of encryption or password protection, which can secure files from unauthorized access or modification3. Record locking does not affect the security or confidentiality of files on the database.
References:
Record locking - Wikipedia1
Database security - Wikipedia2
File system permissions - Wikipedia3