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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement Decision Support Solutions | 10-15% | - Monitor and optimize decision support solutions - Integrate Azure AI services into applications - Design and implement decision automation |
| Topic 2: Implement Knowledge Mining and Document Intelligence Solutions | 15-20% | - Implement Azure AI Search solutions - Create custom skills for Azure AI Search - Implement semantic and vector search - Design document processing pipelines |
| Topic 3: Implement Generative AI Solutions | 10-15% | - Apply responsible AI practices - Implement prompt engineering techniques - Use Azure OpenAI Service for generative AI - Integrate Azure OpenAI models into applications |
| Topic 4: Implement Natural Language Processing Solutions | 20-25% | - Implement speech capabilities using Azure AI Speech - Analyze text using Azure AI Language - Build question answering solutions - Create conversational AI solutions with Azure AI Bot Service - Translate text and speech |
| Topic 5: Implement Computer Vision Solutions | 15-20% | - Process video and generate insights - Analyze images using Azure AI Vision - Implement Azure AI Face service - Read and process documents using Azure AI Document Intelligence - Implement object detection and image classification |
| Topic 6: Plan and Manage an Azure AI Solution | 15-20% | - Implement governance and compliance for AI solutions - Select appropriate Azure AI services and technologies - Plan and configure secure AI solutions - Manage AI costs and resource allocation |
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NEW QUESTION # 181
Select the answer that correctly completes the sentence.
Answer:
Explanation:
NEW QUESTION # 182
You are building a chatbot that will use question answering in Azure Cognitive Service for Language.
You have a PDF named Docl.pdf that contains a product catalogue and a price list You upload Docl.pdf and train the model.
During testing, users report that the chatbot responds correctly to the following question: What is the price of
< product>?
The chatbot fails to respond to the following question: How much does <product* cost?
You need to ensure that the chatbot responds correctly to both questions.
Solution: From Language Studio, you create an entity for cost, and then retrain and republish the model.
Does this meet the goal?
Answer: A
Explanation:
In Azure Cognitive Service for Language (Question Answering), when users ask natural language questions, the service tries to match them to knowledge base content and synonyms.
* In the scenario, the model correctly answers "What is the price of <product>?" but fails on "How much does <product> cost?".
* This indicates that the service does not automatically recognize "price" and "cost" as equivalent terms.
* Creating an entity for cost will not fix this issue. Entities in custom text classification or conversational language understanding are used for extracting structured data (like dates, names, or locations) from text, not for synonym matching in question answering.
The correct solution is to add alternate phrasing (synonyms/alternate questions) in the QnA project for each knowledge base entry. For example, under the QnA pair that contains "What is the price of <product>?", you would add "How much does <product> cost?" as an alternate question. This way, both variations trigger the same answer.
Therefore, the proposed solution (create an entity for cost) does not meet the goal.
The answer: B. No
* Add alternative questions to improve matching - Azure AI Language Question Answering
* Improve accuracy with synonyms and alternate phrasing
* Overview of Question Answering in Azure AI Language
NEW QUESTION # 183
Select the answer that correctly completes the sentence.
Answer:
Explanation:
Explanation:
NEW QUESTION # 184
You have an Azure subscription that contains an Azure Al Video Indexer account.
You need to add a custom brand and logo to the indexer and configure an exclusion for the custom brand.
How should you complete the REST API call? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
NEW QUESTION # 185
You have an Azure Cognitive Search resource named Search 1 that is used by multiple apps You need to secure Search 1. The solution must meet the following requirements:
* Prevent access to Search1 from the internet.
* Limit the access of each app to specific queries
What should you do? To answer, select the appropriate options in the answer area NOTE Each correct answer is worth one point.
Answer:
Explanation:
Explanation:
NEW QUESTION # 186
......
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