Question 24

Explanation

The proposition C is correct because updating the existing data sync (replication) process by removing unused fields with a filter to extract relevant data is a more efficient and cost-effective solution than starting over again with new dataflows or scaling down the number of datasets. Starting over again with new dataflows would require a significant amount of time and resources to rebuild the entire data sync process from scratch. Scaling down the number of datasets may help improve performance, but it may also result in the loss of valuable data that could be useful for analysis and decision-making. On the other hand, updating the existing data sync process by removing unused fields with a filter to extract relevant data is a targeted and precise solution that addresses the root cause of the performance issue. By removing unnecessary data, the data sync process becomes more streamlined and efficient, resulting in faster and more accurate data replication. In conclusion, the best solution for the Tableau CRM consultant to implement to help improve data sync (replication) performance is to update the existing data sync process by removing unused fields with a filter to extract relevant data.