Ensuring that database changes are correctly applied is the primary reason for monitoring activities performed in a production database environment, as it helps to maintain the integrity, availability, and performance of the database and the applications that depend on it. Database changes are any modifications made to the database structure, configuration, data, or code, such as adding or deleting tables, columns, indexes, or triggers, updating or inserting data, or altering stored procedures or functions. Database changes can have significant impacts on the database functionality and behavior, and may introduce errors, inconsistencies, or vulnerabilities if not applied correctly. Therefore, monitoring database changes is essential to verify that the changes are implemented as intended, comply with the design specifications and standards, and do not cause any adverse effects or conflicts with the existing database or application components.
The other options are not the primary reasons for monitoring activities performed in a production database environment. Enforcing that changes are authorized is an important aspect of database change management, but it is not the main purpose of database monitoring. Database change management is the process of planning, reviewing, approving, and implementing database changes in a controlled and consistent manner.
Database change management helps to ensure that the changes are authorized by the appropriate stakeholders, aligned with the business requirements and objectives, and documented and communicated to the relevant parties. Database monitoring can support database change management by providing information and feedback on the change implementation and performance, but it does not enforce the change authorization.
Deterring illicit actions of database administrators is a possible benefit of database monitoring, but it is not the primary reason for it. Database administrators are the users who have the highest level of access and privilege to the database, and they are responsible for managing and maintaining the database operations and security.
Database monitoring can help to deter illicit actions of database administrators by tracking and auditing their activities and actions on the database, and alerting or escalating any suspicious or malicious behavior.
However, database monitoring is not the only or the most effective way to prevent or detect illicit actions of database administrators. Other measures, such as implementing the principle of least privilege, segregating duties, enforcing password policies, and encrypting data, are also necessary to protect the database from unauthorized or improper access or manipulation by database administrators or other users. Preventing system developers from accessing production data is a possible benefit of database monitoring, but it is not the primary reason for it. System developers are the users who design, develop, and test the applications that interact with the database. System developers should not have access to the production data, as it may contain sensitive or confidential information that could be compromised or misused by the developers. System developers should only use test or dummy data for their development and testing purposes. Database monitoring can help to prevent system developers from accessing production data by controlling and restricting their access and privilege to the database, and logging and reporting any unauthorized or inappropriate access attempts. However, database monitoring is not the only or the most effective way to prevent system developers from accessing production data. Other measures, such as implementing access control policies, masking or anonymizing data, and isolating development and production environments, are also necessary to safeguard the production data from system developers or other users. References = Database Monitoring: Basics & Introduction | Splunk, IT Risk Resources | ISACA, Best Practices for Database Performance Monitoring

Computer-enabled fraud is the use of information technology (IT) to commit or conceal fraudulent activities, such as theft, manipulation, or unauthorized access of data, systems, or networks. Computer-enabled fraud can pose significant risks to an organization, such as financial loss, reputational damage, legal liability, or regulatory sanctions. Therefore, an organization should establish a comprehensive and effective framework to prevent, detect, and respond to computer-enabled fraud. The framework should involve three lines of defense, which are the roles and responsibilities of different functions within theorganization to manage and control risks. The first line of defense consists of the business owners, whose role is to identify, assess, and manage risks, including computer-enabled fraud risks. The primary responsibility of the first line of defense related to computer-enabled fraud is to implement processes to detect and deter fraud. This means designing and executing controls that can prevent or reduce the occurrence of computer-enabled fraud, such as authentication, authorization, encryption, logging, or segregation of duties. This also means monitoring and reporting any suspicious or anomalous activities or transactions that may indicate computer-enabled fraud, such as unusual patterns, volumes, or frequencies of data or system access or usage. Implementing processes to detect and deter fraud can help the first line of defense to protect the organization's assets, data, and reputation from computer-enabled fraud, and to comply with the organization's policies and regulations. References = Three Lines of Defence, Roles of Three Lines of Defense for Information Security and Governance, THE THREE LINES OF DEFENSE IN EFFECTIVE RISK MANAGEMENT AND CONTROL, The Three Lines of Defense.

The greatest security risk in this scenario is that data may be commingled with other tenants' data on the public cloud infrastructure. Data commingling occurs when data from different sources or customers are mixed together without proper segregation or encryption. This may result in data leakage, unauthorized access, or loss of confidentiality and integrity. Data commingling is a common challenge in public cloud environments, where multiple customers share the same physical resources and network. System downtime, infrastructure management, and cloud provider certification are also potential risks in this scenario, but they are not as great as data commingling. References = Risk and Information Systems Control Study Manual, 7th Edition, Chapter 5, Section 5.2.1.1, page 2451
1: ISACA Certified in Risk and Information Systems Control (CRISC) Exam Guide, Answer to Question
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The criticality of the asset is the most important factor to consider when determining the value of an asset during the risk identification process, because it reflects the importance or significance of the asset to the organization's objectives or functions, and the potential impact or consequence of losing or compromising the asset. An asset is a resource or capability that has value to the organization, such as data, systems, applications, infrastructure, or people. The value of an asset is a measure of the worth or benefit of the asset to the organization, and the cost or loss of the asset to the organization. The risk identification process is a process of systematically identifying the sources and types of risk that an organization faces, and estimating their likelihood and impact. The criticality of the asset is the most important factor, as it helps to prioritize and focus on the assets that have the highest value and impact, and to determine the appropriate level of protection and investment for the assets. The monetary value of the asset, the vulnerability profile of the asset, and the size of the asset's user base are all possible factors to consider when determining the value of an asset, but they are not the most important factor, as they do not directly reflect the criticality of the asset to the organization's objectives or functions. References = Risk and Information Systems Control Study Manual, Chapter 3, Section 3.2.1, page 83

Key risk indicators (KRIs) are metrics that provide an early warning of increasing risk exposure in various areas of the organization. They help to monitor changes in the level of risk and enable timely actions to mitigate the risk. The major advantage of using KRIs is that they identify when risk exceeds defined thresholds, which are the acceptable or tolerable levels of risk that the organization has established. By identifying when risk exceeds defined thresholds, the KRIs can alert the management and stakeholders of the need to take corrective or preventive measures, and avoid or reduce the potential losses or damages. References = 3