Selected CISA Isaca Certification Questions Answers

 Stress testing is a type of performance testing that evaluates the behavior and reliability of a system under extreme conditions, such as high workload, limited resources, or concurrent users. Stress testing should ideally be carried out under a test environment with production workloads, as this would simulate the most realistic and demanding scenario for the system without affecting the actual production environment. A production environment with production workloads is not suitable for stress testing, as it could cause disruption or damage to the system and its users. A production environment with test data is not suitable for stress testing, as it could compromise the integrity and security of the production data. A test environment with test data is not suitable for stress testing, as it could underestimate the potential issues and risks that could occur in the production environment. References:

CISA Review Manual, 27th Edition, pages 471-4721

CISA Review Questions, Answers & Explanations Database, Question ID: 261

 A business impact analysis (BIA) is a process that identifies and evaluates the potential effects or consequences of disruptions or disasters on an organization’s critical business functions or processes. A BIA can help prioritize the recovery of critical functions by assessing their importance and urgency for the organization’s operations, objectives, and stakeholders, and determining their recovery time objectives (RTOs), which are the maximum acceptable time for restoring a function after a disruption. A business continuity plan (BCP) testing is a process that verifies and validates the effectiveness and readiness of a BCP, which is a document that outlines the strategies and procedures for ensuring the continuity of critical business functions in the event of a disruption or disaster. A BCP testing does not prioritize the recovery of critical functions, but rather evaluates how well they are recovered according to the BCP. A disaster recovery plan (DRP) testing is a process that verifies and validates the effectiveness and readiness of a DRP, which is a document that outlines the technical and operational steps for restoring the IT systems and infrastructure that support critical business functions in the event of a disruption or disaster. A DRP testing does not prioritize the recovery of critical functions, but rather evaluates how well they are supported by the IT systems and infrastructure according to the DRP. A risk assessment is a process that identifies and analyzes the potential threats and vulnerabilities that could affect an organization’s critical business functions or processes. A risk assessment does not prioritize the recovery of critical functions, but rather estimates their likelihood and impact of being disrupted by various risk scenarios. 

 Root cause is the most important thing for an IS auditor to determine and understand to develop meaningful recommendations for findings. A root cause is the underlying factor or condition that leads to a problem or issue. A finding is a statement that describes a problem or issue identified during an audit. A recommendation is a suggestion or advice that aims to address or resolve a finding. To develop meaningful recommendations for findings, an IS auditor should determine and understand the root cause of each finding, as this can help to identify the most effective and appropriate actions to prevent or correct the problem or issue. The other options are not as important as determining and understanding the root cause, as they do not directly address or resolve the finding. References: CISA Review Manual, 27th Edition, page 434

The best way to prevent accepting bad data from a third-party service provider is to implement business rules to reject invalid data. Business rules are logical statements that define the data quality requirements and standards for the organization. By implementing business rules, the organization can ensure that only data that meets the predefined criteria is accepted into the enterprise data warehouse. Obtaining error codes indicating failed data feeds, purchasing data cleansing tools from a reputable vendor, and appointing data quality champions across the organization are useful measures to improve data quality, but they do not prevent accepting bad data in the first place. References: ISACA Journal Article: Data Quality Management