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Question 125

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.

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You build a language model by using a Language Understanding service. The language model is used to search for information on a contact list by using an intent named FindContact.

A conversational expert provides you with the following list of phrases to use for training.

✑ Find contacts in London.

✑ Who do I know in Seattle?

Search for contacts in Ukraine.

You need to implement the phrase list in Language Understanding.

Solution: You create a new entity for the domain.

Does this meet the goal?

Yes

Correct Answer: B

Creating a new entity for the domain does not directly implement the phrase list provided in the question. The goal is to train the language model to understand intent by providing relevant examples of how users might express their requests. In this case, the provided phrases should be used to train the 'FindContact' intent, helping the model understand that these phrases all belong to the same intent but focus on different locations. While entities are helpful for extracting specific information from user input, such as locations, creating a new entity alone does not implement the training phrases as required. Therefore, the suggested solution does not meet the goal.

Discussion

SamedKiaOption: A

Wrong! We create a new location entity for domain to keep the location of FindContact intent.

NebaryOption: A

Agreed with SamedKia. Should be YES The model should have an Entity "Location" that will help in finding the contacts. Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-concept-intent

abbey127Option: B

B. No Creating a new entity for the domain does not directly address the goal of implementing the provided phrase list for the "FindContact" intent. Entities are typically used to extract specific pieces of information from user input, like names, locations, etc. In this case, the goal is to improve the understanding of the intent "FindContact" by providing training phrases related to searching for contacts in specific locations. Instead of creating a new entity, you should focus on training the language model within the existing "FindContact" intent and include the provided phrases to enhance its ability to recognize and understand user queries related to finding contacts in different locations.

f2c587e

This same question (topic 3, question 1) seems to be indicated by the community that this question has two affirmative answers. I'm not sure if this is correct, normally in this type of question there is only one affirmative answer and the rest are negative. Is anyone clear on the real answer to this question?

lesiris

Indeed !!

evangelistOption: B

The ANSWER is NO ！ Instead of creating a new intent for location, you should: Add these phrases to the "FindContact" intent: This helps the model understand that these are different ways a user might express the intent to find contacts. Use Entities for Locations: In addition to training the intent with these phrases, you should use entities to capture the location information within the phrases. In LUIS, you can define an entity (like "Location") and then annotate locations in your training phrases. This way, the model learns to recognize and extract location details from user inputs. By combining a well-trained "FindContact" intent with a location entity, your language model will be better equipped to understand and process user queries about finding contacts in specific locations.

Mehe323Option: B

The question says "You need to implement the phrase list in Language Understanding. Solution: You create a new entity for the domain. Does this meet the goal?" Creating an entity is not implementing a phrase list, so I vote NO.

rdemontisOption: A

https://learn.microsoft.com/en-us/azure/ai-services/luis/concepts/entities

zellckOption: A

A is the answer. https://learn.microsoft.com/en-us/azure/cognitive-services/luis/how-to/entities Create entities to extract key data from user utterances in Language Understanding (LUIS) apps. Extracted entity data is used by your client application to fulfill customer requests. The entity represents a word or phrase inside the utterance that you want extracted. Entities describe information relevant to the intent, and sometimes they are essential for your app to perform its task.

ziggy1117Option: A

Should be YES. An intent represents a task or action the user wants to perform. It is a purpose or goal expressed in a user's utterance. In this case, the Intent is to find the Contact. And it is already created. The utterances specified have the same Intent which is to find/search for contacts. Hence they should be added to the list and an Entity should be created to capture location.

krzkrzkraOption: A

Selected Answer: A

HaraTadahisaOption: B

"create a new entity for the domain." is not "to implement the phrase list". I say B is correct! HipHop!

fuck_india

This issue is not working because everyone's opinion is 50-50. I don't know the correct answer, so I will be staring at MS Learn when this question comes up on the real exam.Examtopic should scrutinize and post the correct answer.

fuck_india

omankomanOption: B

ET should not rely on discussion, but should scrutinize and place the correct responses.

chandiochanOption: B

must be B

zellckOption: B

Same as Question 8. https://www.examtopics.com/discussions/microsoft/view/60466-exam-ai-102-topic-3-question-8-discussion

mmagueroOption: B

NO, By defining the appropriate utterances within the FindContact intent, the language model will be trained to understand and recognize similar phrases, allowing it to effectively search for information on a contact list based on the given inputs.