Crucial Exams

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?

  • search="find vegan lunch", vector={value:[…],k:5,fields:ingredientsVector}, queryType=semantic, queryLanguage=en-us, semanticConfiguration=sem_config

  • search="find vegan lunch", vector={value:[…],k:5,fields:ingredientsVector}, queryType=full, queryLanguage=en-us, semanticConfiguration=sem_config, $top=5

  • search="find vegan lunch", vector={value:[…],k:5,fields:ingredientsVector}, queryType=semantic, queryLanguage=en-us, semanticConfiguration=sem_config, $top=5

  • search="find vegan lunch", queryType=semantic, queryLanguage=en-us, semanticConfiguration=sem_config, $top=5

Microsoft Azure AI Engineer Associate AI-102
Implement knowledge mining and information extraction solutions
Your Score:
Settings & Objectives
Random Mixed
Questions are selected randomly from all chosen topics, with a preference for those you haven’t seen before. You may see several questions from the same objective or domain in a row.
Rotate by Objective
Questions cycle through each objective or domain in turn, helping you avoid long streaks of questions from the same area. You may see some repeat questions, but the distribution will be more balanced across topics.

Check or uncheck an objective to set which questions you will receive.

Wipe Score
Bash, the Crucial Exams Chat Bot
AI Bot