AI-102 Question 268
Single answerYou are designing an Azure AI solution for an e-commerce platform that uses Azure Language Understanding (LUIS) to handle customer inquiries. The solution must identify customer intents and extract specific entities such as 'product name', 'order ID', and 'delivery date' from their queries. You need to configure entities in LUIS to ensure precise entity extraction. Which type of entity should you create if 'delivery date' needs to be accurately recognized regardless of variations in phrasing?
- A
Prebuilt entity
- B
List entity
- C
Pattern.any entity
- D
Machine-learned entity
Show answer and explanation
Correct answer: A
Explanation
Prebuilt entities in LUIS are designed to handle common data types, including dates, with minimal configuration. Since 'delivery date' can appear in various formats or phrasings in customer queries, using a prebuilt entity ensures accurate recognition without additional training or manual configuration.
- A. Correct.
Prebuilt entities in LUIS are predefined and optimized for common data types, such as numbers, dates, and email addresses. For 'delivery date', using a prebuilt entity is the most accurate and efficient approach.
- B. Incorrect.
List entities are used to match specific predefined values or synonyms, but they are not suitable for recognizing dynamic date formats or variations in phrasing.
- C. Incorrect.
Pattern.any entities capture text matching a specific pattern in a user query but lack the ability to handle flexible date formats accurately.
- D. Incorrect.
Machine-learned entities are trained on labeled examples to extract specific data but are unnecessary for recognizing dates, as prebuilt entities already handle this efficiently.