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| Section | Objectives |
|---|---|
| Implement Knowledge Mining and Document Intelligence | - Build Azure AI Search solutions - Enrich and index data for search scenarios - Implement document intelligence solutions |
| Plan and Manage an Azure AI Solution | - Select appropriate Azure AI services - Plan solution requirements and architecture - Manage security, compliance, and responsible AI |
| Implement Natural Language Processing Solutions | - Analyze text using Azure AI Language - Translate and interpret language using Azure AI services - Implement question answering and conversational AI |
| Implement Computer Vision Solutions | - Implement custom vision models - Extract information using OCR and form recognition - Analyze images and videos using Azure AI Vision |
| Implement Generative AI Solutions | - Implement Azure OpenAI Service solutions - Integrate prompt engineering techniques - Build retrieval-augmented generation (RAG) solutions |
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NEW QUESTION # 175
You need to develop an automated call handling system that can respond to callers in their own language. The system will support only French and English.
Which Azure Cognitive Services service should you use to meet each requirement? To answer, drag the appropriate services to the correct requirements. Each service may be used once, more than once, or not at all.
You may need to drag the split bat between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Detect the incoming language:
* Service: Speech to Text
* Reasoning: The Speech to Text service can transcribe spoken language into text and includes language identification capabilities, allowing the system to detect whether the caller is speaking French or English.
* Respond in the callers' own language:
* Service: Text to Speech
* Reasoning: The Text to Speech service can convert text responses into spoken language in the detected language (French or English), enabling the system to respond to callers in their own language.
* Detect the incoming language: Speech to Text
* Respond in the callers' own language: Text to Speech
Ordered Mapping:
Box 1: Text Analytics
The Language Detection feature of the Azure Text Analytics REST API evaluates text input for each document and returns language identifiers with a score that indicates the strength of the analysis.
Box 2: Translator
Translator is a cloud-based neural machine translation service that is part of the Azure Cognitive Services family of REST APIs. Translator can be used with any operating system and powers many Microsoft products and services used by thousands of businesses worldwide to perform language translation and other language- related operations.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to- language-detection
https://docs.microsoft.com/en-us/azure/cognitive-services/translator/translator-overview
NEW QUESTION # 176
You are developing an application that will use Azure Cognitive Search for internal documents.
You need to implement document-level filtering for Azure Cognitive Search.
Which three actions should you include in the solution? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: A,E,F
Explanation:
Explanation
Your documents must include a field specifying which groups have access. This information becomes the filter criteria against which documents are selected or rejected from the result set returned to the issuer.
D: A query request targets the documents collection of a single index on a search service.
CF: In order to trim documents based on group_ids access, you should issue a search query with a group_ids/any(g:search.in(g, 'group_id1, group_id2,...')) filter, where 'group_id1, group_id2,...' are the groups to which the search request issuer belongs.
Reference:
https://docs.microsoft.com/en-us/azure/search/search-security-trimming-for-azure-search
Topic 1, Contoso, Ltd.Case Study
This is a case study Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.
To start the case study
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab. note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.
General Overview
Contoso, Ltd. is an international accounting company that has offices in France. Portugal, and the United Kingdom. Contoso has a professional services department that contains the
Infrastructure
Contoso has the following subscriptions:
* Azure
* Microsoft 365
* Microsoft Dynamics 365
Azure Active (Azure AD) Directory
Contoso has Azure Active Directory groups for securing role-based access. The company uses the following group naming conventions:
* ICountryJ-[Levell-[Role]
* [Level]-[Role]
Intellectual Property
Contoso has the intellectual property shown in the following table.
Text-based content is provided only in one language and is not translated.
Planned Projects
Contoso plans to develop the following:
* A document processing workflow to extract information automatically from PDFs and images of financial documents
* A customer-support chatbot that will answer questions by using FAQs
* A searchable knowledgebase of all the intellectual property
Technical Requirements
Contoso identifies the following technical requirements:
* All content must be approved before being published.
* All planned projects must support English, French, and Portuguese.
* All content must be secured by using role-based access control (RBAC).
* RBAC role assignments must use the principle of least privilege.
* RBAC roles must be assigned only to Azure Active Directory groups.
* Al solution responses must have a confidence score that is equal to or greater than 70 percent.
* When the response confidence score of an Al response is lower than 70 percent, the response must be improved by human input.
Chatbot Requirements
Contoso identifies the following requirements for the chatbot:
* Provide customers with answers to the FAQs.
* Ensure that the customers can chat to a customer service agent.
* Ensure that the members of a group named Management-Accountants can approve the FAQs.
* Ensure that the members of a group named Consultant-Accountants can create and amend the FAQs.
* Ensure that the members of a group named the Agent-CustomerServices can browse the FAQs.
* Ensure that access to the customer service agents is managed by using Omnichannel for Customer Service.
* When the response confidence score is low. ensure that the chatbot can provide other response options to the customers.
Document Processing Requirements
Contoso identifies the following requirements for document processing:
* The document processing solution must be able to process standardized financial documents that have the following characteristics:
* Contain fewer than 20 pages.
* Be formatted as PDF or JPEG files.
* Have a distinct standard for each office.
* The document processing solution must be able to extract tables and text from the financial documents.
* The document processing solution must be able to extract information from receipt images.
* Members of a group named Management-Bookkeeper must define how to extract tables from the financial documents.
* Members of a group named Consultant-Bookkeeper must be able to process the financial documents.
Knowledgebase Requirements
Contoso identifies the following requirements for the knowledgebase:
* Supports searches for equivalent terms
* Can transcribe jargon with high accuracy
* Can search content in different formats, including video
* Provides relevant links to external resources for further research
NEW QUESTION # 177
You have an app that analyzes images by using the Computer Vision API.
You need to configure the app to provide an output for users who are vision impaired. The solution must provide the output in complete sentences.
Which API call should you perform?
Answer: B
Explanation:
To generate complete sentences describing an image (for accessibility for visually impaired users), you must call the Describe Image API.
describeImageInStreamAsync analyzes the content of the image and generates human-readable descriptions in natural language sentences.
readInStreamAsync is for OCR (extracting text).
tagImageInStreamAsync is for generating tags (keywords), not full sentences.
analyzeImageByDomainInStreamAsync is for domain-specific models (e.g., celebrities, landmarks).
NEW QUESTION # 178
You have a local folder that contains the files shown in the following table.
You need to analyze the files by using Azure Ai Video Indexer. Which files can you upload to the Video Indexer website?
Answer: B
Explanation:
You have files with the following formats:
* File1: WMV (34 mins, 400 MB)
* File2: AVI (90 mins, 1,200 MB)
* File3: MOV (300 mins, 980 MB)
* File4: MP4 (80 mins, 1,800 MB)
You must determine which files can be uploaded to Azure AI Video Indexer.
* Supported formats: MP4, MOV, WMV, AVI, M2TS.
* Maximum file length: 4 hours (240 minutes).
* Maximum file size: 2 GB (2048 MB) for website uploads.
* File1 (WMV, 34 min, 400 MB): Supported format, within time and size # # Allowed.
* File2 (AVI, 90 min, 1,200 MB): Supported format, within time and size # # Allowed.
* File3 (MOV, 300 min, 980 MB): Supported format, but exceeds 240 min limit # # Not Allowed.
* File4 (MP4, 80 min, 1,800 MB): Supported format, within size (under 2 GB), within time # # Allowed.
The answer:
A). File1, File2, and File4 only
Microsoft Reference:
* Video Indexer upload limitations
NEW QUESTION # 179
You are building a call handling system that will receive calls from French-speaking and German-speaking callers. The system must perform the following tasks;
* Capture inbound voice messages as text.
* Replay messages in English on demand.
Which Azure Cognitive Services should you use? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
* Speech-to-text converts the caller's spoken French/German audio into text.
* The text must then be translated to English.
* Finally, Text-to-speech converts the translated text into spoken English for playback.
* Therefore, the combination of Translator + Text-to-speech is required for the replay step.
Comprehensive Explanation
* Speech-to-text in Azure AI Speech
* Azure AI Translator
* Text-to-speech in Azure AI Speech
Microsoft References
Final Answer:
* To capture messages # Speech-to-text
* To replay messages # Text-to-speech and Translator
NEW QUESTION # 180
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