Microsoft Azure AI Engineer Associate AI-102 Practice Question
You are calling the Azure AI Search REST endpoint for an index that contains a 1536-dimension vector field named "ingredientsVector" and a semantic configuration called "sem_config". The call must combine vector similarity with full-text relevance, apply semantic ranking, and return the five best matching documents. Which query-string parameter set will achieve this in a single request?
Hybrid search requires the request to carry both a text query (search=) and a vector query (vector=…). To apply semantic ranking, you must set queryType=semantic and specify the language with queryLanguage. Because the configuration that determines which fields participate in semantic ranking is named "sem_config", semanticConfiguration must also be supplied. Finally, to control the number of documents in the final result set, the $top parameter must be set. The k parameter within the vector query only controls the number of nearest neighbors retrieved for the vector search portion before results are merged. Therefore, the only option that includes all of search, vector, queryType=semantic, queryLanguage, semanticConfiguration, and $top=5 is the correct answer.
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Microsoft Azure AI Engineer Associate AI-102
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