Suggesters in Amazon CloudSearch are responsible for providing autocomplete features for search queries. This is done by returning a list of possible query terms based on input prefixes, which can help users complete their search queries quickly and with greater ease. Suggesters use a specific type…Suggesters in Amazon CloudSearch are responsible for providing autocomplete features for search queries. This is done by returning a list of possible query terms based on input prefixes, which can help users complete their search queries quickly and with greater ease. Suggesters use a specific type of index, the 'suggest index,' to store the suggestions and efficiently retrieve them during searches. To use a suggester, you need to define a suggester configuration, specifying the source text field and the Fuzzy Matching option (which allows for matching terms with small differences in spelling). Suggesters can improve the overall search experience of users by assisting them with query composition, reducing the chances of typos, and enhancing the relevance of search results.
Guide to AWS CloudSearch: Suggesters
Suggesters are an important feature in Amazon CloudSearch that enable auto-completion, which is crucial for enhancing users' search experience.
What are Suggesters?
Suggesters in Amazon CloudSearch are data structures related to specific domains that propose potential matching queries or document contents as a user types into the search bar. These enable auto-suggest or auto-complete features.
How do Suggesters work?
Suggesters work by scanning an index field with data type 'text' or 'text-array' in a CloudSearch domain. They return options based on search terms that match the preliminary input. The results are ordered by suggestion score, which is an indication of the suggestion's relevance or probability.
Exam Tips: Answering Questions on Suggesters
1. Understand that for suggesters to work, the 'document' needs to be indexed and 'suggesters' need to be configured. 2. Be aware that 'text' and 'text-array' are the only index field types that suggesters can work with. 3. Remember that suggestions are ranked by their 'score'. The higher the score, the more relevant the suggestion. 4. There might be scenario-based questions asking to enhance the search experience. Recognize that suggesters are one of the key components to accomplish this. 5. Know that suggesters do not need to be updated manually. They are updated whenever the index fields are updated. Stay focussed and understand the functionality and use-cases of suggesters for a successful exam experience.
AWS Certified Solutions Architect - Suggesters Example Questions
Test your knowledge of Suggesters
Question 1
A company needs to add search-as-you-type (autocomplete) to an application that reads from Amazon DynamoDB. They want a fully managed AWS search service that provides a native suggester/autocomplete capability out of the box so they can enable typeahead with minimal custom analyzers or code. Which option best meets this requirement?
Question 2
A company wants to improve their e-commerce website's search functionality but is concerned about indexing times. They want search suggestions for user queries to be available as soon as possible. What would you recommend?
Question 3
You are designing an image sharing application that stores images in an Amazon S3 bucket. To improve user experience, you want to provide users with search suggestions based on metadata stored in DynamoDB. Which service should you choose?
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