Ace Your CISA Isaca Certification Exam

Operational log management primarily enhances security by enabling real-time monitoring and detection of anomalies within network data. Logs provide valuable information for identifying threats, investigating incidents, and ensuring compliance with security policies.

Predictive Analysis for User Experience (Option A):While logs may support analytics, this is not the primary benefit.

Performance Issue Identification (Option C):Logs can help identify performance issues, but the focus of operational log management is security.

Data Aggregation Using Unified Storage (Option D):This supports management but is secondary to the security benefits.

Unauthorized data modifications during conversion (D) are the most critical concern because they compromise data integrity, leading to inaccurate or corrupted information in the new system. Data migration should be performed with strict controls, including validation, reconciliation, and audit trails.

Other options:

Lack of online backups (A) is a risk but not as severe as compromised data integrity. Offline backups may still exist.

Undocumented change management (B) is a process deficiency but does not directly affect data accuracy.

Manual data conversion (C) increases risk but does not automatically indicate unauthorized changes.

The stakeholder’s role in automating data extraction and validation is to indicate which data elements are necessary to make informed decisions. The stakeholder is the person who has a vested interest in the outcome of the data analytics process and can provide the business context and requirements for the analysis. The stakeholder can help the data analyst to identify the relevant data sources, the key performance indicators (KPIs), and the expected results of the analysis.

References

What Is the Data Analysis Process? 5 Key Steps to Follow - G2

What’s the Best Approach to Data Analytics? - Harvard Business Review

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