MCB Data Cloud Certification 2025 – 400 Free Practice Questions to Pass the Exam

Increasing the consolidation rate for identity resolution can be effectively achieved by increasing the number of matching rules. Matching rules play a crucial role in identifying how records should be compared to determine if they belong to the same identity. By adding more matching rules, the system can become more sensitive and accurate in recognizing similar or duplicate identities based on various criteria, such as name variations, address discrepancies, or other demographic factors.

This approach allows for more comprehensive comparisons, enabling the system to make finer distinctions between records, which can significantly enhance the rate at which entities are consolidated. A well-designed set of matching rules can lead to better identity resolution by capturing a broader range of possible matches.

In contrast, reducing the number of matching rules could limit the system's ability to accurately identify duplicates, potentially decreasing the consolidation rate. Changing reconciliation rules or adjusting options like ignore empty value may not directly enhance matching capabilities, thus making increasing the number of matching rules the most effective strategy for improving identity resolution consolidation rates.