Rank Expressions

Correct Answer: Create a Rank Expression based on the document's publish date.

Rank Expressions can be used to adjust relevancy scores based on specific data, such as the document's publish date. Modifying other schema fields or using boolean searches, separate domains, or default recency biases doesn't directly address the need to adjust relevancy based on recency.

Correct Answer: Create Rank Expressions based on each parameter and let users select their preferred ranking criteria.

By creating Rank Expressions based on each parameter and letting users choose their preferred criteria, you allow them to have more control over the search results. Merging fields or splitting domains adds complexity and doesn't address ranking. CloudSearch's native ranking and faceted search do not offer user-controlled customizations.

Correct Answer: Use Rank Expressions to assign different importance to specific fields.

In Amazon CloudSearch, Rank Expressions let you define a custom scoring formula that controls how results are ranked. By referencing specific fields in the expression, you can boost matches in higher-priority fields (such as title) over lower-priority ones (such as description), ensuring search results reflect your intended field weighting. Modifying an Elasticsearch schema is irrelevant to CloudSearch, creating multiple indices is unnecessary and complicates management, and using AWS Lambda for scoring is not integrated with CloudSearch’s ranking pipeline and would add avoidable latency.