CISA Exam Dumps - Certified Information Systems Auditor

A balanced scorecard is a strategic planning framework that companies use to assign priority to their products, projects, and services; communicate about their targets or goals; and plan their routine activities1. The scorecard enables companies to monitor and measure the success of their strategies to determine how well they have performed. A balanced scorecard for IT management can help assess IT functions and processes by defining four perspectives: financial, customer, internal business process, and learning and growth2. These perspectives can help IT management align their IT objectives with the organization’s vision and mission, identify and prioritize the key performance indicators (KPIs) for IT, and evaluate the effectiveness and efficiency of IT operations and services3.

References

1: Balanced Scorecard - Overview, Four Perspectives 2: The IT Balanced Scorecard (BSC) Explained - BMC Software 3: A BALANCED SCORECARD (BSC) FOR IT PERFORMANCE MANAGEMENT - SAS Support

The best way to protect sensitive information such as personally identifiable information (PII) stored in a particular data format while allowing the software developers to use it in development and test environments is data masking. Data masking is a technique that replaces or obscures sensitive data elements with fictitious or modified data elements that retain the original format and characteristics of the data. Data masking can help protect sensitive information such as PII stored in a particular data format while allowing the software developers to use it in development and test environments by preventing the exposure or disclosure of the real data values without affecting the functionality or performance of the software or application. The other options are not as effective as data masking in protecting sensitive information such as PII stored in a particular data format while allowing the software developers to use it in development and test environments, as they have different limitations or drawbacks. Data tokenization is a technique that replaces sensitive data elements with non-sensitive tokens that have no intrinsic value or meaning. Data tokenization can protect sensitive information such as PII from unauthorized access or theft, but it may not retain the original format and characteristics of the data, which may affect the functionality or performance of the software or application. Data encryption is a technique that transforms sensitive data elements into unreadable or unintelligible ciphertext using an algorithm and a key. Data encryption can protect sensitive information such as PII from unauthorized access or modification, but it requires decryption to restore the original data values, which may introduce additional complexity or overhead to the software development process. Data abstraction is a technique that hides the details or complexity of data structures or operations from users or programmers by providing a simplified representation or interface. Data abstraction can help improve the usability or maintainability of software or applications, but it does not protect sensitive information such as PII from exposure or disclosure. References: CISA Review Manual (Digital Version), Chapter 5, Section 5.3.2

To ensure that aservice vendor maintains required control levels, direct verification throughonsite assessmentsis the most effective approach.

Option A (Correct):Onsite assessmentsallow auditors todirectly reviewcontrols, procedures, and evidence of compliancein real time, ensuring that service levels are being met.

Option B (Incorrect):Unannounced vulnerability assessments may violatecontractual agreementsand ethical considerations.

Option C (Incorrect):Reviewing theSLAensures agreement terms are clear but doesnot verify actual compliance.

Option D (Incorrect):AControl Self-Assessment (CSA)is useful but relies onvendor-provided information, which may be biased or incomplete.

When identifying which servers are no longer required, reviewing server CPU usage trends is the most helpful approach. Monitoring the CPU usage over time provides insights into how actively a server is being utilized. Servers with consistently low CPU usage may be candidates for consolidation or decommissioning. By analyzing CPU utilization patterns, IT management can make informed decisions about which servers can be retired without impacting performance or availability1.

 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. 

 The most important thing to assess when conducting a business impact analysis (BIA) is the completeness of critical asset inventory. This is because the critical asset inventory is the basis for identifying and prioritizing the business processes, functions, and resources that are essential for thecontinuity of operations. The critical asset inventory should include both tangible and intangible assets, such as hardware, software, data, personnel, facilities, contracts, and reputation. The critical asset inventory should also be updated regularly to reflect any changes in the business environment or needs. References:

CISA Review Manual (Digital Version), Chapter 5, Section 5.41

CISA Online Review Course, Domain 3, Module 3, Lesson 12

 The finding that should be of greatest concern to an IS auditor reviewing data conversion and migration during the implementation of a new application system is that unauthorized data modificationsoccurred during conversion. Data conversion and migration is a process that involves transferring data from one system to another, ensuring its accuracy, completeness, integrity, and usability. Unauthorized data modifications during conversion can result in data loss, corruption, inconsistency, or duplication, which can affect the functionality, performance, reliability, and security of the new system. Unauthorized data modifications can also have serious business implications, such as affecting decision making, reporting, compliance, customer service, and revenue. The IS auditor should verify that adequate controls are in place to prevent, detect, and correct unauthorized data modifications during conversion, such as access control, data validation, reconciliation, audit trail, and backup and recovery. The other findings (A, B and D) are less concerning, as they can be mitigated by documenting the change management process, restoring the backups of the old system and data from offline storage, or automating the data conversion process. References: CISA Review Manual (Digital Version), Chapter 3: Information Systems Acquisition, Development and Implementation, Section 3.4: System Implementation

The greatest concern for an IS auditor when an international organization intends to roll out a global data privacy policy is that local regulations may contradict the policy. Data privacy regulations vary across different countries and regions, and they may impose different or conflicting requirements on how personal data can be collected, processed, stored, transferred, and disclosed. The organization should ensure that its global data privacy policy complies with the applicable local regulations in each jurisdiction where it operates, or risk facing legal sanctions or reputational damage. Requirements may become unreasonable, but this is not a major concern for an IS auditor, as it is a business decision that should be based on a cost-benefit analysis. The policy may conflict with existing application requirements, but this is not a serious concern for an IS auditor, as it can be resolved by modifying or updating the applications to align with the policy. Local management may not accept the policy, but this is not a critical concern for an IS auditor, as it can be mitigated by providing adequate training and awareness on the policy and its benefits. References:

CISA Review Manual, 27th Edition, pages 406-4071

CISA Review Questions, Answers and ExplanationsDatabase, Question ID: 2592