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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement Knowledge Mining and Document Intelligence Solutions | 15-20% | - Implement Azure AI Search solutions - Implement semantic and vector search - Design document processing pipelines - Create custom skills for Azure AI Search |
| Topic 2: Implement Computer Vision Solutions | 15-20% | - Implement object detection and image classification - Read and process documents using Azure AI Document Intelligence - Process video and generate insights - Analyze images using Azure AI Vision - Implement Azure AI Face service |
| Topic 3: Implement Decision Support Solutions | 10-15% | - Monitor and optimize decision support solutions - Design and implement decision automation - Integrate Azure AI services into applications |
| Topic 4: Implement Generative AI Solutions | 10-15% | - Implement prompt engineering techniques - Integrate Azure OpenAI models into applications - Apply responsible AI practices - Use Azure OpenAI Service for generative AI |
| Topic 5: Implement Natural Language Processing Solutions | 20-25% | - Translate text and speech - Create conversational AI solutions with Azure AI Bot Service - Analyze text using Azure AI Language - Implement speech capabilities using Azure AI Speech - Build question answering solutions |
| Topic 6: Plan and Manage an Azure AI Solution | 15-20% | - Plan and configure secure AI solutions - Implement governance and compliance for AI solutions - Manage AI costs and resource allocation - Select appropriate Azure AI services and technologies |
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NEW QUESTION # 205
You develop a Conversational Language Undemanding model by using Language Studio During testing, users receive incorrect responses to requests that do NOT relate to the capabilities of the model.
You need to ensure that the model identifies spurious requests.
What should you do?
Answer: B
NEW QUESTION # 206
Hotspot Question
You have a collection of press releases stored as PDF files.
You need to extract text from the files and perform sentiment analysis.
Which service should you use for each task? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 207
You Have a chatbot that uses the Azure Al Language custom question answering service. The model used by the service was trained by using an internal support FAQ document.
You discover that the chatbot fails to provide correct answers to common questions.
You need to increase the accuracy of the responses provided by the chatbot. The solution must minimize development effort.
Which three actions should you perform in sequence from Language Studio? 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:
* Open the Review suggestions pane.
* Explanation: This step allows you to access suggestions generated by the Azure AI Language service based on user interactions and queries. Reviewing these suggestions helps identify potential improvements or alternative phrasings that can enhance the model ' s understanding and accuracy with minimal effort.
* Review and accept the alternative phrases.
* Explanation: After opening the review suggestions pane, you can evaluate and accept alternative phrases or questions that users might have asked. Accepting these updates trains the model to recognize variations in how questions are posed, thereby improving its ability to provide accurate responses without requiring extensive manual retraining.
* Enable active learning.
* Explanation: Enabling active learning allows the model to continuously improve by learning from user interactions and feedback over time. This feature automatically suggests refinements based on real-world usage, minimizing development effort while enhancing the chatbot ' s accuracy as it adapts to common questions.
Answer Area Rationale These steps are sequenced to progressively improve the chatbot ' s performance with minimal development effort. Starting with reviewing suggestions leverages existing data, accepting alternative phrases refines the model ' s understanding, and enabling active learning ensures ongoing improvement, aligning with the goal of increasing accuracy efficiently.
NEW QUESTION # 208
You have an Azure subscription that contains an Azure Al Language custom question answering project named QA1.
You need to import question and answer pairs to QA1.
Which two file formats can you use? Each correct answer presents a complete solution NOTE; Each correct selection is worth one point.
Answer: B,C
Explanation:
For an Azure AI Language Custom Question Answering project (QA1), you can import Q & A pairs directly from Excel (.xls/.xlsx) or TSV files in Language Studio. Microsoft's guidance explicitly states that when importing question-answer sources into a project, you can choose Excel or TSV. JSON, LU, and CSV are not supported as import file types for Q & A pairs in Language Studio. Microsoft Learn Additional Microsoft guidance notes that structured TXT, TSV, and XLS files can be uploaded to create or augment a project, and clarifies import/export behavior for TSV and XLS. This reinforces that Excel and TSV are the supported formats here. Microsoft Learn Microsoft References:
Move projects and Q & A pairs - "Import question and answers... option to import either an Excel or TSV file." Microsoft Learn Format guidelines for Custom Question Answering - structured TXT, TSV, and XLS supported; import
/export notes for TSV and XLS. Microsoft Learn
NEW QUESTION # 209
You have an Azure subscription that contains an Azure AI Language service resource.
You need to identify the URL of the REST interface for the Language service.
Which blade should you use in the Azure portal?
Answer: C
NEW QUESTION # 210
......
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