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AI-102 Exam - Question 213


DRAG DROP -

You are using a Language Understanding service to handle natural language input from the users of a web-based customer agent.

The users report that the agent frequently responds with the following generic response: "Sorry, I don't understand that."

You need to improve the ability of the agent to respond to requests.

Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Select and Place:

Show Answer
Correct Answer:

Step 1: Add prebuilt domain models as required.

Prebuilt models provide domains, intents, utterances, and entities. You can start your app with a prebuilt model or add a relevant model to your app later.

Note: Language Understanding (LUIS) provides prebuilt domains, which are pre-trained models of intents and entities that work together for domains or common categories of client applications.

The prebuilt domains are trained and ready to add to your LUIS app. The intents and entities of a prebuilt domain are fully customizable once you've added them to your app.

Step 2: Enable active learning -

To enable active learning, you must log user queries. This is accomplished by calling the endpoint query with the log=true querystring parameter and value.

Step 3: Train and republish the Language Understanding model

The process of reviewing endpoint utterances for correct predictions is called Active learning. Active learning captures endpoint queries and selects user's endpoint utterances that it is unsure of. You review these utterances to select the intent and mark entities for these real-world utterances. Accept these changes into your example utterances then train and publish. LUIS then identifies utterances more accurately.

Incorrect Answers:

Enable log collection by using Log Analytics

Application authors can choose to enable logging on the utterances that are sent to a published application. This is not done through Log Analytics.

Reference:

https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-how-to-review-endpoint-utterances#log-user-queries-to-enable-active-learning https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-concept-prebuilt-model

Discussion

8 comments
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g2000
May 20, 2022

1. Enable active learning 2. Validate the utterances logged for review and modify the model 3. Train and republish the language understanding model not sure how the pre built model can improve accuracy....

Eltooth
Jul 19, 2022

Agreed

ninjia
Aug 15, 2022

Agreed

GigaCaster
Oct 31, 2022

But the question isn't asking for accuracy but rather making it able to give a response instead of the current "Sorry, I don't understand that." response the customers are receiving. Thus the answer wants a short-term quick fix so that the team can work on the accuracy later, leading to a pre-built model being used.

rdemontis
Nov 7, 2023

agree with you

rdemontis
Nov 7, 2023

to improve the model it's better to review the utterances logged by user feedback and then change the model. In this way we could adapt it on a real utterances basis

Eltooth
Jul 19, 2022

1. Enable active learning 2. Validate the utterances logged for review and modify the model 3. Train and republish the language understanding model

evangelist
Feb 4, 2024

given answer is NOT Correct! why: Enable Active Learning: LUIS's Active Learning feature automatically identifies vague or low-confidence user inputs that may require further training. Review and Add Utterances Logged for Review: Utterances collected through Active Learning are marked for review. Regularly reviewing and categorizing these utterances into the relevant intents is a crucial step in enhancing model performance. Train and Republish the Language Understanding Model: After adding new utterances and potentially adjusting intents and entities, you need to retrain the LUIS model to incorporate these updates.

varinder82
Mar 28, 2024

Final Answer: 1. Enable active learning 2. Validate the utterances logged for review and modify the model 3. Train and republish the language understanding model

etellez
Jun 16, 2024

Copilot says To improve the ability of the agent to respond to requests, you should perform the following actions in sequence: Enable log collection using Log Analytics: This will allow you to collect and analyze the utterances that the agent is not understanding. Enable active learning: Active learning will help the model to learn from the utterances it didn't understand and improve over time. Train and republish the language understanding model: After enabling active learning and collecting more data, you should retrain the model and publish it again. This will incorporate the new learnings into the model and should improve its ability to understand user requests.

etellez
Jun 20, 2024

Today the answer has been different Enable active learning. Validate the utterances logged for review and modify the model. Train and republish the Language Understanding model.

zellck
Jul 2, 2023

Same as Question 4. https://www.examtopics.com/discussions/microsoft/view/57673-exam-ai-102-topic-5-question-4-discussion

nanaw770
Jun 1, 2024

1. Enable active learning 2. Validate the utterances logged for review and modify the model 3. Train and republish the language understanding model

SAMBIT
Jul 15, 2024

a) Add prebuilt domain models as required. Validate the utterances logged for review and modify the model. (2) b) Migrate authoring to an Azure resource authoring key. c) Enable active learning. d) Enable log collection by using Log Analytics. (1) e) Train and republish the Language (3) f) Understanding model.