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| Section | Objectives |
|---|---|
| Topic 1: Implement Knowledge Mining and Document Intelligence | - Build Azure AI Search solutions - Implement document intelligence solutions - Enrich and index data for search scenarios |
| Topic 2: Plan and Manage an Azure AI Solution | - Plan solution requirements and architecture - Manage security, compliance, and responsible AI - Select appropriate Azure AI services |
| Topic 3: Implement Computer Vision Solutions | - Analyze images and videos using Azure AI Vision - Extract information using OCR and form recognition - Implement custom vision models |
| Topic 4: Implement Natural Language Processing Solutions | - Translate and interpret language using Azure AI services - Implement question answering and conversational AI - Analyze text using Azure AI Language |
| Topic 5: Implement Generative AI Solutions | - Build retrieval-augmented generation (RAG) solutions - Implement Azure OpenAI Service solutions - Integrate prompt engineering techniques |
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NEW QUESTION # 271
You have a collection of Microsoft Word documents and PowerPoint presentations in German.
You need to create a solution to translate the file to French. The solution must meet the following requirements:
* Preserve the original formatting of the files.
* Support the use of s custom glossary.
You create a blob container for German files and a blob container for French files. You upload the original files to the container for German files.
Which three actions should you perform in sequence actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation
NEW QUESTION # 272
You are building a chatbot.
You need to configure the chatbot to query a knowledge base.
Which dialog class should you use?
Answer: A
Explanation:
* If a chatbot must query a knowledge base (KB), the Bot Framework uses QnAMakerDialog (inherited into Azure Cognitive Service for Language's Question Answering).
* AdaptiveDialog manages complex dialog flows but not specifically KB querying.
* ComponentDialog organizes dialogs, but again, not specific for knowledge bases.
* SkillDialog is used when invoking another bot (skill), not for KB queries.
Comprehensive Detailed ExplanationCorrect Answer: B. QnAMakerDialog
Reference: Use QnAMakerDialog in Bot Framework
NEW QUESTION # 273
You have a chatbot that uses a QnA Maker application.
You enable active learning for the knowledge base used by the QnA Maker application.
You need to integrate user input into the model.
Which four 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.
Answer:
Explanation:
Explanation:
Step 1: For the knowledge base, select Show active learning suggestions.
In order to see the suggested questions, on the Edit knowledge base page, select View Options, then select Show active learning suggestions.
Step 2: Approve and reject suggestions.
Each QnA pair suggests the new question alternatives with a check mark, , to accept the question or an x to reject the suggestions. Select the check mark to add the question.
Step 3: Save and train the knowledge base.
Select Save and Train to save the changes to the knowledge base.
Step 4: Publish the knowledge base.
Select Publish to allow the changes to be available from the GenerateAnswer API.
When 5 or more similar queries are clustered, every 30 minutes, QnA Maker suggests the alternate questions for you to accept or reject.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/how-to/improve-knowledge-base
NEW QUESTION # 274
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.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a chatbot that uses question answering in Azure Cognitive Service for Language Users report that the responses of the chatbot lack formality when answering spurious questions You need to ensure that the chatbot provides formal responses to spurious questions.
Solution: From Language Studio, you change the chitchat source to qna_chitchat_professional.tsv. and then retrain and republish the model.
Does this meet the goal?
Answer: A
Explanation:
* The chatbot uses Question Answering in Azure Cognitive Service for Language.
* Users report that the chatbot's responses to spurious questions (such as jokes, casual chitchat, or off- topic queries) are not formal enough.
Comprehensive Detailed ExplanationIn Question Answering projects, you can add chitchat sources provided by Microsoft to handle small talk. These sources include:
* qna_chitchat_friendly.tsv # Informal/friendly responses.
* qna_chitchat_professional.tsv # Formal/professional responses.
* qna_chitchat_witty.tsv # Humorous/witty responses.
By changing the chitchat source to qna_chitchat_professional.tsv, then retraining and republishing, the bot will provide formal responses to spurious questions.
Therefore, this solution meets the goal.
The answer: A. Yes
* Add chit-chat to a Question Answering project
* Chit-chat personality types (friendly, professional, witty)
Microsoft References
NEW QUESTION # 275
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.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a chatbot that uses question answering in Azure Cognitive Service for Language Users report that the responses of the chatbot lark formality when answering spurious questions You need to ensure that the chatbot provides formal responses to spurious questions.
Solution: From Language Studio, you change the chitchat source to qna_chitchit_friindly.tsv. and then retrain and republish the model.
Does this meet the goal?
Answer: B
NEW QUESTION # 276
......
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