Question Answering Alternative Phrasing vs Entities
Short answer
B Creating an entity for cost does not resolve the question phrasing mismatch in Azure question answering.
Question
Key Takeaways
This question tests the distinction between entities and alternative phrasing in Custom Question Answering; the common trap is assuming entities can bridge question phrasing gaps.
Creating an entity for a term like cost does not resolve question phrasing mismatches in Azure Cognitive Service for Language. This page establishes that adding alternative phrasing to the question and answer pair is the correct method to handle varied user queries.
Common mistake: Choosing Yes because adding an entity seems like a way to capture synonyms, but entities extract data from text rather than matching alternative question structures.
Expert Analysis
Why the Answer Is Correct
The correct answer is No because creating an entity for "cost" does not address the root cause of the failure. In Azure Custom Question Answering, entities are used to extract specific data points from an answer or to add synonyms for entity values, not to map alternative question phrasing to an existing answer. The chatbot fails because it does not recognize "How much does cost?" as a valid question pattern for the existing answer.
Why the Other Options Are Wrong
Option A (Yes) is incorrect because it misunderstands the function of entities in question answering. Entities do not bridge the gap between different question structures like "What is the price" and "How much does cost". To fix this, you must explicitly add alternative phrasing to the question and answer pair so the model learns the new pattern.
Community Comment Notes
Commenters correctly identified that creating an entity for "cost" is "unlikely to resolve the issue of the chatbot failing to respond to variations in the phrasing of the question". As Murtuza noted, the correct solution involves adding "alternative phrasing to the question and answer pair" rather than creating an entity.
Exam Strategy
When a question answering chatbot fails on a differently phrased question, the solution is almost always to add an alternate question phrasing to the knowledge base. Do not confuse entities, which extract data, with question variations.
Community Votes
100% of anonymous learners picked answer B. Votes are pick records left by other test-takers — they are not the verified answer.
Discussion 3 contributions
Compiled from public community threads and reader submissions, lightly edited for clarity. Handles and vote tallies are shown as recorded, and comments reflect the views of individual contributors.
From public community threads 3
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Murtuza 👍 6Solution: From Language Studio, you add alternative phrasing to the question and answer pair, and then retrain and republish the model. Choice is B
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syupwsh 👍 1 Answered BNo is CORRECT. Creating an entity for "cost" and retraining the model is unlikely to resolve the issue of the chatbot failing to respond to variations in the phrasing of the question. The problem is likely due to the model not being trained adequately on diverse question patterns. To address this, you would need to add variations of the questions (e.g., "How much does cost?") to the training data and retrain the model. This will ensure the model is better equipped to handle different phrasings of the same question.
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mustafaalhnuty 👍 1 Answered BB 100%
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