Isaca Updated CISA Exam Questions and Answers by miriam

 The best way to improve the visibility of end-user computing (EUC) applications that support regulatory reporting is to maintain an EUC inventory, as this provides a comprehensive and up-to-date list of all EUC applications, their owners, their locations, their purposes, and their dependencies. An EUC inventory can help identify and manage the risks associated with EUC applications, such as data quality, security, compliance, and continuity. EUC availability controls, EUC access control matrix, and EUC tests of operational effectiveness are important forensuring the reliability and security of EUC applications, but they do not improve the visibility of EUC applications as much as an EUC inventory. References: CISA Review Manual (DigitalVersion), Chapter 3: Information Systems Acquisition, Development and Implementation, Section 3.4: End-user Computing

 The auditor’s best recommendation prior to go-live is to conduct a mock conversion test. This is because a mock conversion test can help to verify the accuracy, completeness, and validity of the data conversion process. A mock conversion test can also help to identify and resolve any issues or errors before the actual conversion takes place. A mock conversion test can also provide assurance that the converted data meets the business requirements and expectations. References:

CISA Review Manual (Digital Version), Chapter 3, Section 3.3.21

CISAOnline Review Course, Domain 2, Module 2, Lesson 22

Substantive testing is the most important type of testing during software license audits, as it provides evidence of the accuracy and completeness of the software inventory and licensing records. Substantive testing involves examiningtransactions, balances, and other data to verify their validity, existence, accuracy, and valuation. Compliance testing, on the other hand, is more focused on assessing the adequacy and effectiveness of internal controls over software licensing, such as policies, procedures,and monitoring mechanisms. Compliance testing alone cannot provide sufficient assurance that the software license audit objectives are met, as itdoes notverify the actual software usage and compliance status. Judgmental sampling and stop-or-go sampling are methods of selecting samples for testing, not types of testing themselves. *References: According to the ISACA IT Audit and Assurance Standards, Guidelines and Tools and Techniques for IS Audit and Assurance Professionals, section1206 Testing, “The IS audit and assurance professional should perform sufficient testing to obtain sufficient appropriate evidence to support conclusions reached.” 1 The section also defines substantive testing as “testing performed to obtain audit evidence to detect material misstatements in transactions orbalances” and compliance testing as “testing performed to obtain audit evidence on theoperating effectiveness of controls.” 1 According to the ISACA IT Audit and Assurance Guideline G15 Software License Management, “The objective of a software license auditis to provide management with an independent assessment relating to compliance with software license agreements.” 2 The guideline also states that “substantive tests should be performed on a sample basis to verify that all software installed on devices within scope has been appropriately licensed.” 2

 The answer B is correct because data minimization is the most important design consideration to mitigate the risk of exposing data through application programming interface (API) queries. An API is a set of rules and protocols that allows different software components or systems to communicate and exchange data. API queries are requests sent by users or applications to an API to retrieve or manipulate data. For example, a user may query an API to get information about a product, a service, or a location.

Data minimization is the principle of collecting, processing, and storing only the minimum amount of data that are necessary for a specific purpose. Data minimization can help to reduce the risk of exposing data through API queries by limiting the amount and type of data that are available or accessible through the API. Data minimization can also help to protect the privacy and security of the data subjects and the data providers, as well as to comply with the relevant laws and regulations.

Some of the benefits of data minimization for API design are:

Privacy: Data minimization can enhance the privacy of the data subjects by ensuring that only the data that are relevant and essential for the API purpose are collected and processed. This can prevent unnecessary or excessive collection or disclosure of personal or sensitive data, such as names, addresses, phone numbers, email addresses, etc. Data minimization can also help to comply with the privacy laws and regulations that require data protection by design and by default, such as GDPR (General Data Protection Regulation) or CCPA (California Consumer Privacy Act).

Security: Data minimization can improve the security of the data providers by reducing the attack surface and the potential damage of a data breach. If less data are stored or transmitted through the API, there are fewer opportunities for attackers to access or compromise the data. Data minimization can also help to implement security controls such as encryption, access control, or logging more efficiently and effectively.

Performance: Data minimization can increase the performance of the API by optimizing the use of resources and bandwidth. If less data are stored or transmitted through the API, there are less storage space and network traffic required. Data minimization can also help to improve the speed and reliability of the API responses.

Some of the techniques for data minimization in API design are:

Define clear and specific purposes for the API and document them in the API specification or documentation.

Identify and classify the data that are needed for each purpose and assign them appropriate labels or levels, such as public, internal, confidential, or restricted.

Implement filters or parameters in the API queries that allow users or applications to specify or limit the data fields or attributes they want to retrieve or manipulate.

Use pagination or throttling in the API responses that limit the number or size of data items returned per request.

Use anonymization or pseudonymization techniques that remove or replace any identifying information from the data before sending them through the API.

Some examples of web resources that discuss data minimization in API design are:

Data Minimization in Web APIs - World Wide Web Consortium (W3C)

Adding Privacy by Design in Secure Application Development

Chung-ju/Data-Minimization: A repository of related papers. - GitHub