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A large online university uses Salesforce with the Education Data Architecture (EDA) to manage its operations. Its Salesforce environment has a large volume of records and it takes a long time to search and generate list views. Which feature should the consultant use to resolve the issue?
Correct Answer: B
The consultant should use a custom index to resolve the issue of taking a long time to search and generate list views for the large online university's Salesforce environment that has a large volume of records and uses EDA. A custom index is a feature that allows users to create an index on a field that is not indexed by default, such as a custom field, a long text area field, or a multi-select picklist field. A custom index can help improve the performance and speed of queries and list views that use the indexed field as a filter. The consultant should identify the fields that are frequently used in searches and list views, and request Salesforce Support to create a custom index on them. MuleSoft Anypoint Platform, Data Loader error logs, and Table-Driven Trigger Management are not features that can resolve the issue of taking a long time to search and generate list views for the large online university's Salesforce environment that has a large volume of records and uses EDA. Reference: https://help.salesforce.com/s/articleView?id=sf.customize_index.htm&type=5 https://developer.salesforce.com/docs/atlas.en-us.salesforce_large_data_volumes_bp.meta/salesforce_large_data_volumes_bp/ldv_deployments_infrastructure_indexes.htm