CISA-KR 문제 346
The most helpful thing for an IS auditor when assessing the effectiveness of controls is the results of control testing, as this provides objective and reliable evidence of how well the controls are designed and operating in practice. A control self-assessment (CSA) is a technique that involves the participation of process owners and stakeholders in evaluating the effectiveness of controls, but it may not be as rigorous or independent as control testing. Interviews with management are useful for gaining an understanding of the control environment and culture, but they may not reflect the actual performance of controls. A control matrix is a tool that maps the controls to the objectives, risks, and requirements, but it does not measure the effectiveness of controls.
References: CISA Review Manual (Digital Version), Chapter 1: Information Systems Auditing Process, Section 1.3: IT Audit Process
CISA-KR 문제 347
The best description of an audit risk is that the financial report may contain undetected material errors. Audit risk is the risk that the auditor expresses an inappropriate opinion on the financial report when it contains material misstatements or errors. Audit risk consists of three components: inherent risk, control risk, and detection risk. Inherent risk is the susceptibility of an assertion or a control to a material misstatement or error due to factors such as complexity, volatility, fraud, or human error. Control risk is the risk that a material misstatement or error will not be prevented or detected by the internal controls. Detection risk is the risk that the auditor's procedures will not detect a material misstatement or error that exists in an assertion or a control.
References:
CISA Review Manual (Digital Version)
CISA Questions, Answers & Explanations Database
CISA-KR 문제 348
A digital signature is a cryptographic technique that verifies the authenticity and integrity of a message or document, by using a hash function and an asymmetric encryption algorithm. A hash function is a mathematical function that transforms any input data into a fixed-length output value called a digest, which is unique for each input. An asymmetric encryption algorithm uses two keys: a public key and a private key. The public key can be shared with anyone, while the private key must be kept secret by the owner. To create a digital signature, the sender first applies a hash function to the plaintext message to generate a digest. Then, the sender encrypts the digest with their private key to produce the digital signature. To verify the digital signature, the receiver decrypts the digital signature with the sender's public key to obtain the digest. Then, the receiver applies the same hash function to the plaintext message to generate another digest. If the two digests match, it means that the message has not been altered and that it came from the sender. The security of a digital signature depends on the secrecy of the sender's private key. If an attacker obtains the sender's private key, they can create fake digital signatures for any message they want, thus compromising the control provided by the digital signature. Reversing the hash function using the digest is not possible, as hash functions are designed to be one-way functions that cannot be inverted. Altering the plaintext message will result in a different digest after applying the hash function, which will not match with the decrypted digest from the digital signature, thus invalidating the digital signature. Deciphering the receiver's public key is not relevant, as public keys are meant to be publicly available and do not affect the security of digital signatures.
CISA-KR 문제 349
The most important thing to determine during the planning phase of a cloud-based messaging and collaboration platform acquisition is the types of data that can be uploaded to the platform. This is because different types of data may have different security, privacy, and compliance requirements, depending on the nature, sensitivity, and value of the data. For example, personal data, financial data, health data, or intellectual property data may be subject to various laws and regulations that govern how they can be collected, stored, processed, and shared in the cloud. Therefore, it is essential to identify and classify the types of data that will be uploaded to the platform, and ensure that the platform meets the organization's policies and standards for data protection1.
The other options are not as important as the types of data that can be uploaded to the platform during the planning phase of a cloud-based messaging and collaboration platform acquisition. Option A, role-based access control policies, is a mechanism that defines who can access what data and resources on the platform based on their roles and responsibilities. Role-based access control policies are important for ensuring data security and accountability, but they can be designed and implemented after the platform is acquired2. Option C, processes for on-boarding and off-boarding users to the platform, are procedures that enable or disable user accounts and access rights on the platform. Processes for on-boarding and off-boarding users are important for managing user identities and lifecycles, but they can be developed and executed after the platform is acquired3. Option D, processes for reviewing administrator activity, are methods that monitor and audit the actions and events performed by administrators on the platform. Processes for reviewing administrator activity are important for detecting and preventing unauthorized or malicious activities, but they can be established and performed after the platform is acquired4.
References:
Cloud Messaging and Collaboration Services - Maryland.gov DoIT4
MessageBird acquires real-time notifications and in-app messaging platform Pusher for $35M | TechCrunch2 Symphony to lead financial market communications with the acquisition of Cloud9 Technologies3 Cloud messaging and collaboration | Sumo Logic
CISA-KR 문제 350
Implementing business rules to validate employee data entry is the best way to reduce the likelihood of future occurrences of poor data quality that cause customer complaints about receiving different items from what they ordered on the organization's website. Business rules are logical statements that define the conditions and actions for data validation, such as checking for data completeness, accuracy, consistency, and integrity. Assigning responsibility for improving data quality, investing in additional employee training for data entry, and outsourcing data cleansing activities to reliable third parties are also possible ways to improve data quality, but they are not as effective as implementing business rules to validate employee data entry.
References: CISA Review Manual (Digital Version), Chapter 4, Section 4.3.1
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