Question 1 of 30
CrediCorp, a multinational financial institution, recently implemented a new automated loan application processing system. The system is designed to evaluate loan applications based on a predefined set of criteria, including income, credit score, and employment history, and automatically approve or reject them. However, after several months of operation, inconsistencies have emerged. Internal audits revealed that some loan applications with missing income verification documents were erroneously approved, while other applications with all required documents and meeting all eligibility criteria were rejected. Further investigation showed that the data quality rules implemented within the system were not consistently applied across all applications. Considering the principles of data quality management within the context of ISO/IEC/IEEE 12207:2017, which of the following best describes the primary data quality issue being demonstrated by CrediCorp\'s loan application processing system?
The system is demonstrating unreliable application of data validation rules, leading to inconsistencies in loan application processing outcomes.
The system is suffering from a lack of data accessibility, preventing auditors from effectively monitoring the loan approval process.
The system is experiencing data irrelevance due to outdated credit scoring models, resulting in inaccurate risk assessments.
The system lacks sufficient data traceability, making it difficult to determine the origin and lineage of loan application data.

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