CISA-KR 문제 501
RFID has many benefits for different applications, such as inventory management, supply chain optimization, asset tracking, and access control. However, RFID also poses some challenges and risks for information security and privacy. Some of these risks are:
Privacy: RFID tags can be read by unauthorized or malicious parties, who can collect personal or sensitive data without the knowledge or consent of the tag owners. This can lead to identity theft, profiling, tracking, or surveillance2. For example, a hacker could scan an RFID-tagged passport or credit card and steal the personal information or financial details of the owner3.
Communication attacks: RFID systems are vulnerable to various types of attacks that target the wireless communication between the tags and the readers. These include eavesdropping, jamming, spoofing, replaying, cloning, or modifying the data transmitted by the tags or the readers4. For example, an attacker could intercept the data from an RFID tag and alter it before sending it to the reader, causing false or misleading information to be recorded.
Mafia fraud: This is a type of attack where an adversary acts as a man-in-the-middle and relays the information between two legitimate parties. This can allow the adversary to bypass authentication or authorization mechanisms and gain access to restricted areas or resources. For example, an attacker could use a device to relay the signal from an RFID-tagged car key to the car's ignition system and start the car without having the physical key.
CISA-KR 문제 502
One of the most important aspects of a feasibility study is the economic feasibility, which analyzes the costs and benefits of the proposed system and compares them with alternative solutions2. Theeconomic feasibility study should include a detailed breakdown of the development, implementation and operational costs, as well as the expected revenues, savings and intangible benefits of the system3. The IS auditor should review the cost-benefit documentation for reasonableness and accuracy, and verify that the assumptions and calculations are valid and supported by evidence3.
The other options are not directly related to auditing the feasibility study of a system development project.
Reviewing qualifications of key members of the project team (option A) is more relevant to auditing the project management and human resources aspects of the project. Reviewing the request for proposal (RFP) to ensure that it covers the scope of work (option B) is more relevant to auditing the procurement and vendor selection process of the project. Ensuring that vendor contracts are reviewed by legal counsel (option D) is more relevant to auditing the legal and contractual aspects of the project.
References: 3: Types of Feasibility Study in Software Project Development 2: Feasibility Analysis in System Development Process 1: What Is a Feasibility Study? Definition, Benefits and Types
CISA-KR 문제 503
Ifmeasurable benefitswerenot defined, the organizationcannot assess whether the system achieved its intended goals, making it the mostcriticalissue.
* Measurable Benefits Not Defined (Correct Answer - D)
* No clear KPIs or success metricsmeans no way toevaluate ROI.
* Example:A company implementsan ERP systembut has no performance indicators to measure success.
* No Lessons Learned (Incorrect - A)
* Important but doesnot impact system effectiveness.
* Missing Dashboard Deliverables (Incorrect - B)
* A reporting issue,not a strategic failure.
* Budget Overrun (Incorrect - C)
* A financial concern butnot as critical as system success measurement.
References:
* ISACA CISA Review Manual
* COBIT 2019 (Project Governance)
CISA-KR 문제 504
* CISA Review Manual (Digital Version), Chapter 5, Section 5.31
* CISA Review Questions, Answers & Explanations Database, Question ID 212
CISA-KR 문제 505
To implement a data classification program, it is most important to formalize data ownership. Data owners are the individuals or business units that have the authority and responsibility for the data they create or use. Data owners should be involved in defining the data classification levels, assigning the appropriate classification to their data, and ensuring that the data is handled according to the established policies and procedures. Data owners should also review and update the data classification periodically or when there are changes in the data or its usage.
The other options are not as important as formalizing data ownership when implementing a data classification program. Understanding the data classification levels is necessary, but it is not sufficient without identifying the data owners who will apply them. Developing a privacy policy is a good practice, but it is not specific to data classification. Planning for secure storage capacity is a technical consideration, but it does not address the business and legal aspects of data classification.
References:
* ISACA, CISA Review Manual, 27th Edition, 2020, page 247
* Data Classification: What It Is and Howto Implement It
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