Analyze and Translate Text AI-102 Practice Questions (Page 5)

Questions 21–25

1. 21application · medium

   A travel agency receives customer inquiries in multiple languages. The agency wants to translate each inquiry to the agent's preferred language, detect the original language for reporting, and determine the sentiment of the inquiry to prioritize urgent issues. You need to implement this. What should you do?

   • ACall Language Detection to get the original language, call Translator to translate to the agent's language, and call Sentiment Analysis on the translated text.
   • BCall Translator to translate to the agent's language, call Sentiment Analysis on the original text, and call Language Detection on the translated text.
   • CCall Language Detection, call Sentiment Analysis on the original text, and call Translator to translate the sentiment score.
   • DCall Sentiment Analysis on the original text, call Language Detection on the original text, and call Translator to translate the sentiment result.
   Reveal Solution Discussion Select an answer first
2. 22foundation · easy

   Which Azure AI Language feature evaluates text and returns a sentiment label such as positive, negative, or neutral, along with confidence scores?

   • AEntity recognition
   • BKey phrase extraction
   • CLanguage detection
   • DSentiment analysis
   Reveal Solution Discussion Select an answer first
4. 23expert · hard

   A global customer feedback system receives messages in multiple languages. The team wants to determine the sentiment of each message, detect the language for reporting, and translate non-English messages to English for the analysis team. The solution must minimize API calls and preserve the original sentiment. The team is considering two approaches: (A) call Language Detection, then Sentiment Analysis on the original text, then the Translator API for non-English messages; (B) call the Translator API, which returns the detected source language, then Sentiment Analysis on the original text. Which approach should you choose and why?

   • AApproach A, because Language Detection is more accurate than the Translator API's language detection.
   • BApproach A, because Sentiment Analysis should be run on the translated text to ensure accuracy.
   • CApproach B, but only if the message is in a language supported by the Translator API; otherwise, use Language Detection.
   • DApproach B, because the Translator API returns the detected source language, so a separate Language Detection call is unnecessary, and sentiment is analyzed on the original text.
   Reveal Solution Discussion Select an answer first
5. 24foundation · easy

   An application must extract and categorize mentions of companies and job titles from a set of resumes. Which Azure AI Language feature should be used?

   • AText translation
   • BKey phrase extraction
   • CEntity recognition
   • DSentiment analysis
   Reveal Solution Discussion Select an answer first
6. 25foundation · easy

   Which Azure service is used to translate text and documents between multiple languages in real time?

   • AAzure Speech
   • BAzure Language Understanding (LUIS)
   • CAzure Computer Vision
   • DAzure Translator
   Reveal Solution Discussion Select an answer first