CISA Exam Dumps - Certified Information Systems Auditor

The primary purpose of documenting audit objectives when preparing for an engagement is to identify areas with relatively high probability of material problems. Audit objectives are statements that describe what the audit intends to accomplish or verify during the engagement. Audit objectives help the IS auditor to focus on the key areas of risk or concern, to design appropriate audit procedures and tests, and to evaluate audit evidence and results. By documenting audit objectives, the IS auditor can identify areas with relatively high probability of material problems that may affect the achievement of audit goals or business objectives. Addressing the overall risk associated with the activity under review, ensuring maximum use of audit resources during the engagement and prioritizing and scheduling auditee meetings are also purposes of documenting audit objectives, but they are not as primary as identifying areas with high probability of material problems. References:

CISA Review Manual, 27th Edition, page 1111

CISA Review Questions, Answers & Explanations Database - 12 Month Subscription

When reviewing a data classification scheme, it is most important for an IS auditor to determine if the security criteria are clearly documented for each classification. This will help the IS auditor to evaluate if the data classification scheme is consistent, comprehensive, and aligned with the organizational objectives and regulatory requirements. The security criteria should define the level of confidentiality, integrity, and availability for each data classification, aswell as the corresponding controls such as access control, rights management, and cryptographic protection1. The other options are less important or incorrect because:

A. Each information asset is not necessarily assigned to a different classification. Data classification schemesusually have a limited number of categories, such as “Sensitive,” “Confidential,” and “Public,” and multiple information assets can belong to the same category2.

C. Senior IT managers are not necessarily identified as information owners. Information owners are typically the business units or functions that create, use, or maintain the information assets, and they may or may not be senior IT managers3.

D. The information owner is not required to approve access to the asset. The information owner is responsible for defining the access requirements and rules for the asset, but the actual approval of access requests may be delegated to other roles, such as data custodians or administrators3. References: Simplify and Contextualize Your Data Classification Efforts - ISACA, 3.7: Establish and Maintain a Data Classification Scheme, Data Classification and Practices - NIST, CISA Exam Content Outline |CISA Certification | ISACA

Comprehensive and Detailed in-Depth Explanation:

Implementing edit checks ensures data validity and integrity by verifying inputs and reducing inconsistencies in the database.

Updating the data dictionary (Option A) does not resolve inconsistency issues. Data modeling (Option C) and training (Option D) are less relevant to addressing data accuracy directly.

ISACA CISA Reference: Domain 4 - Information Systems Operations, Maintenance, and Support

Comprehensive and Detailed Step-by-Step Explanation:

Exploitationis the phase where testersleverage identified vulnerabilitiestogain unauthorized accessto systems.

Exploitation (Correct Answer – B)

Attackers use techniques such as SQL injection, buffer overflow, or privilege escalation.

Example:A tester exploits a weak password to gain admin access.

Exfiltration (Incorrect – A)

The process of stealing dataaftergaining access.

Reconnaissance (Incorrect – C)

The initial stage where attackers gather information about the target.

Scanning (Incorrect – D)

Involves identifying open ports and services but does not involve actual attacks.

Comprehensive and Detailed Step-by-Step Explanation:

Data collection and obtaining consentis themost critical regulatory requirementwhen using customer data for AI training, especially under laws likeGDPR, CCPA, and ISO 27701.

Collection of Data and Obtaining Consent (Correct Answer – C)

Ensures compliance withprivacy lawsthat require explicit customer consent.

Example:UnderGDPR, companies mustinform usershow their data will be used and allow them toopt out.

AI Algorithm Accuracy (Incorrect – A)

Important formodel performancebutnot a primary legal concern.

Ethical Use of Computing Resources (Incorrect – B)

Ethical considerations are valuable butnot a regulatory priority.

Continuous Monitoring of AI (Incorrect – D)

Ensuresperformance, butregulatory compliance focuses on data privacy.

Deep packet inspection (DPI) is a core capability of data loss prevention (DLP) tools that allows the analysis of the content of data packets in transit. This helps detect the unauthorized movement of sensitive data by examining packet-level details.

Network Traffic Logs (Option A):These provide historical data but do not actively detect data in transit.

Data Inventory (Option C):Useful for identifying where sensitive data resides but not for monitoring its movement.

Proprietary Encryption (Option D):Protects data but does not detect unauthorized transmission.