AI-201 · Question #285
Coral Cloud Resorts wants to handle frequent customer misspellings of package names in queries. Which approach should the Agentforce Specialist implement?
The correct answer is B. Vector search. Vector search (also called semantic search) should be implemented to handle misspellings. Vector search converts text into numerical embeddings that capture semantic meaning rather than exact character sequences. Because similar concepts and even misspelled words tend to…
Question
Coral Cloud Resorts wants to handle frequent customer misspellings of package names in queries. Which approach should the Agentforce Specialist implement?
Options
- AHybrid search
- BVector search
- CKeyword search
How the community answered
(49 responses)- A6% (3)
- B82% (40)
- C12% (6)
Explanation
Vector search (also called semantic search) should be implemented to handle misspellings. Vector search converts text into numerical embeddings that capture semantic meaning rather than exact character sequences. Because similar concepts and even misspelled words tend to produce embeddings close to each other in vector space, the search engine can match 'Caribean Dreamer Package' to 'Caribbean Dreamer Package' based on meaning and phonetic similarity - without requiring an exact string match. Option C (keyword search) relies on exact or near-exact token matching and fails on misspellings. Option A (hybrid search) combines keyword and vector approaches, which is powerful, but the primary driver for misspelling tolerance specifically is the vector/semantic component - making pure vector search the most targeted answer here.
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