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NEW QUESTION # 216
You have a Video Indexer service that is used to provide a search interface over company videos on your company's website.
You need to be able to search for videos based on who is present in the video.
What should you do?
- A. Upload names to a language model.
- B. Create a person model and associate the model to the videos.
- C. Create person objects and provide face images for each object.
- D. Invite the entire staff of the company to Video Indexer.
- E. Edit the faces in the videos.
Answer: B
Explanation:
Video Indexer supports multiple Person models per account. Once a model is created, you can use it by providing the model ID of a specific Person model when uploading/indexing or reindexing a video. Training a new face for a video updates the specific custom model that the video was associated with.
Note: Video Indexer supports face detection and celebrity recognition for video content. The celebrity recognition feature covers about one million faces based on commonly requested data source such as IMDB, Wikipedia, and top LinkedIn influencers. Faces that aren't recognized by the celebrity recognition feature are detected but left unnamed. Once you label a face with a name, the face and name get added to your account's Person model. Video Indexer will then recognize this face in your future videos and past videos.
Reference:
https://docs.microsoft.com/en-us/azure/media-services/video-indexer/customize-person-model- with-api
NEW QUESTION # 217
You have an Azure subscription that contains an Azure Al Document Intelligence resource named DM.
You build an app named App1 that analyzes PDF files for handwritten content by using DM.
You need to ensure that App1 will recognize the handwritten content.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Comprehensive Detailed ExplanationThe requirement:
* You have an Azure AI Document Intelligence resource (formerly Form Recognizer).
* You want the app to detect handwritten content inside PDF files.
Step 1 - Choosing the correct model
* prebuilt-document: Extracts structure and text from documents, but not optimized specifically for handwriting.
* prebuilt-contract: Designed for contracts, not general handwriting.
* prebuilt-read: Extracts text (printed and handwritten) from documents. Supports handwritten content recognition.
* Therefore, to analyze handwritten content, the correct choice is prebuilt-read.
Step 2 - Confidence threshold
* The style.Confidence value indicates the confidence that the text is handwritten.
* A typical threshold used is 0.75 (75%).
* This ensures that only results with reasonably high confidence are considered handwritten.
* Values like 0.1 would be too low (allowing false positives), while 1.0 might miss valid handwriting because it requires absolute certainty.
The answer:
* Model: prebuilt-read
* Confidence threshold: 0.75
NEW QUESTION # 218
You are developing a text processing solution.
You have the function shown below.
For the second argument, you call the function and specify the following string.
Our tour of Paris included a visit to the Eiffel Tower.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
NEW QUESTION # 219
You are building a Language Understanding model for purchasing tickets.
You have the following utterance for an intent named PurchaseAndSendTickets.
Purchase [2 audit business] tickets to [Paris] [next Monday] and send tickets to [[email protected]] You need to select the entity types. The solution must use built-in entity types to minimize training data whenever possible.
Which entity type should you use for each label? To answer, drag the appropriate entity types to the correct labels. Each entity type may be used once, more than once, or not at all.
You may need to drag the split bar between panes or scroll to view content.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-reference-prebuilt-geographyv2
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-reference-prebuilt-email
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/reference-entity-machine-learned-entity
NEW QUESTION # 220
Select the answer that correctly completes the sentence.
Answer:
Explanation:
NEW QUESTION # 221
You build a chatbot by using Azure OpenAI Studio.
You need to ensure that the responses are more deterministic and less creative.
Which two parameters should you configure? To answer, select the appropriate parameters in the answer area.
NOTE: Each correct answer is worth one point.
Answer:
Explanation:
Explanation:
NEW QUESTION # 222
You have an Azure subscription.
You need to deploy an Azure AI Search resource that will recognize geographic locations.
Which built-in skill should you include in the skillset for the resource?
- A. EntityRecognitionSkill
- B. AzureOpenAIEmbeddingSkill
- C. EntityLinkingSkill
- D. DocumentExtractionSkill
Answer: A
Explanation:
The EntityRecognitionSkill in Azure AI Search is a built-in skill designed to identify and recognize specific types of entities within text, including geographic locations (such as cities, countries, and landmarks), as well as other entities like people and organizations. This makes it the appropriate choice for a skillset intended to recognize geographic locations.
NEW QUESTION # 223
You are building a chatbot by using the Microsoft Bot Framework Composer. You have the dialog design shown in the following exhibit.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection Is worth one point.
Answer:
Explanation:
Explanation:
NEW QUESTION # 224
You are building an agent by using the Azure Al Foundry Agent Service.
You need to ensure that the agent can access publicly accessible data that was released during the past 90 days.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:

To let an agent use public web data with recency controls (e.g., limit to content from the last 90 days), you add the Bing grounding tool. In the Azure AI Foundry Agent Service SDK, you create a connection (e.g., search_connection_id) and then construct a BingGroundingTool with that connection. The tool exposes a list of definitions (tool operations) that the agent can call at runtime.
When creating the agent, you pass tool definitions via the tools= argument (a list of ToolDefinition). The tool_resources= argument is used when the tool requires additional resource descriptors (e.g., Azure AI Search index configuration). For Bing grounding, providing the connection and passing the definitions as tools= is sufficient. This enables the agent to call Bing with date filters to retrieve only recent, publicly accessible content.
Microsoft Azure AI References (titles only)
* Azure AI Agent Service - Bing web grounding tool
* Azure AI Agent Service - Create an agent (agent creation parameters including tools and tool_resources)
* Azure AI Agent Service - Tool connections and definitions
NEW QUESTION # 225
You have a file share that contains 5,000 images of scanned invoices.
You need to analyze the images. The solution must extract the following data:
* Invoice items
* Sales amounts
* Customer details
What should you use?
- A. Form Recognizer
- B. Immersive Reader
- C. Computer Vision
- D. Custom Vision
Answer: A
Explanation:
* The requirement is to extract structured information (invoice items, sales amounts, customer details) from scanned invoice images.
* Form Recognizer (now part of Azure AI Document Intelligence) is specifically designed for extracting structured data from documents such as invoices, receipts, and business forms.
* Custom Vision # used for image classification or object detection, not for text/data extraction.
* Computer Vision # can extract text with OCR, but it doesn't provide structured field-level extraction for invoices.
* Immersive Reader # for accessibility (reading content aloud, translating text), not document data extraction.
The answer: D
Reference: Azure AI Document Intelligence (Form Recognizer)
NEW QUESTION # 226
Case Study 1 - Wide World Importers
Overview
Existing Environment
A company named Wide World Importers is developing an e-commerce platform.
You are working with a solutions architect to design and implement the features of the e- commerce platform. The platform will use microservices and a serverless environment built on Azure.
Wide World Importers has a customer base that includes English, Spanish, and Portuguese speakers.
Applications
Wide World Importers has an App Service plan that contains the web apps shown in the following table.
Azure Resources
You have the following resources:
* An Azure Active Directory (Azure AD) tenant
- The tenant supports internal authentication.
- All employees belong to a group named AllUsers.
- Senior managers belong to a group named LeadershipTeam.
* An Azure Functions resource
- A function app posts to Azure Event Grid when stock levels of a product change between OK, Low Stock, and Out of Stock. The function app uses the Azure Cosmos DB change feed.
* An Azure Cosmos DB account
- The account uses the Core (SQL) API.
- The account stores data for the Product Management app and the Inventory Tracking app.
* An Azure Storage account
- The account contains blob containers for assets related to products.
- The assets include images, videos, and PDFs.
* An Azure AI Services resource named wwics
* An Azure Video Analyzer for Media (previously Video Indexer) resource named wwivi
Requirements
Business Goals
Wide World Importers wants to leverage AI technologies to differentiate itself from its competitors.
Planned Changes
Wide World Importers plans to start the following projects:
* A product creation project: Help employees create accessible and multilingual product entries,
while expediting product entry creation.
* A smart e-commerce project: Implement an Azure AI Search solution to display products for
customers to browse.
* A shopping on-the-go project: Build a chatbot that can be integrated into smart speakers to
support customers.
Business Requirements
Wide World Importers identifies the following business requirements for all the projects:
* Provide a multilingual customer experience that supports English, Spanish, and Portuguese.
* Whenever possible, scale based on transaction volumes to ensure consistent performance.
* Minimize costs.
Governance and Security Requirements
Wide World Importers identifies the following governance and security requirements:
* Data storage and processing must occur in datacenters located in the United States.
* Azure AI Services must be inaccessible directly from the internet.
Accessibility Requirements
Wide World Importers identifies the following accessibility requirements:
* All images must have relevant alt text.
* All videos must have transcripts that are associated to the video and included in product
descriptions.
* Product descriptions, transcripts, and all text must be available in English, Spanish, and
Portuguese.
Product Creation Requirements
Wide World Importers identifies the following requirements for improving the Product Management app:
* Minimize how long it takes for employees to create products and add assets.
* Remove the need for manual translations.
Smart E-Commerce Requirements
Wide World Importers identifies the following requirements for the smart e-commerce project:
* Ensure that the Azure AI Search solution meets a Service Level Agreement (SLA) of 99.9%
availability for searches and index writes.
* Provide users with the ability to search insight gained from the images, manuals, and videos
associated with the products.
* Support autocompletion and autosuggestion based on all product name variants.
* Store all raw insight data that was generated, so the data can be processed later.
* Update the stock level field in the product index immediately upon changes.
* Update the product index hourly.
Shopping On-the-Go Requirements
Wide World Importers identifies the following requirements for the shopping on-the-go chatbot:
* Answer common questions.
* Support interactions in English, Spanish, and Portuguese.
* Replace an existing FAQ process so that all Q&A is managed from a central location.
* Provide all employees with the ability to edit Q&As. Only senior managers must be able to
publish updates.
* Support purchases by providing information about relevant products to customers. Product
displays must include images and warnings when stock levels are low or out of stock.
Product JSON Sample
You have the following JSON sample for a product.
Hotspot Question
You are developing the shopping on-the-go project.
You are configuring access to the QnA Maker (classic) resources.
Which role should you assign to AllUsers and LeadershipTeam? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: QnA Maker Editor
Scenario: Provide all employees with the ability to edit Q&As.
The QnA Maker Editor (read/write) has the following permissions:
Create KB API
Update KB API
Replace KB API
Replace Alterations
"Train API" [in new service model v5]
Box 2: Cognitive Service User
From a least privilege principle perspective, it should be Cognitive Service User. And it can also create new resources.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/reference-role-based- access-control
NEW QUESTION # 227
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
Text Description automatically generated with low confidence
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
https://docs.microsoft.com/en-us/azure/cognitive-services/translator/translator-overview
NEW QUESTION # 228
You build a QnA Maker resource to meet the chatbot requirements.
Which RBAC role should you assign to each group? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Cognitive Service User
Ensure that the members of a group named Management-Accountants can approve the FAQs.
Approve=publish.
Cognitive Service User (read/write/publish): API permissions: All access to Cognitive Services resource except for ability to:
1. Add new members to roles.
2. Create new resources.
Box 2: Cognitive Services QnA Maker Editor
Ensure that the members of a group named Consultant-Accountants can create and amend the FAQs.
QnA Maker Editor: API permissions:
1. Create KB API
2. Update KB API
3. Replace KB API
4. Replace Alterations
5. "Train API" [in new service model v5]
Box 3: Cognitive Services QnA Maker Read
Ensure that the members of a group named the Agent-CustomerServices can browse the FAQs.
QnA Maker Read: API Permissions:
1. Download KB API
2. List KBs for user API
3. Get Knowledge base details
4. Download Alterations
Generate Answer
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/concepts/role-based-access-control
NEW QUESTION # 229
You have a SQL query that combines customer data and order dat
a. The query includes calculated columns. You need to create a database object that would allow other users to rerun the same SOL query. What should you create?
- A. a scalar function
- B. an Index
- C. a table
- D. a view
Answer: D
NEW QUESTION # 230
Drag and Drop Question
You are developing a photo application that will find photos of a person based on a sample image by using the Face API.
You need to create a POST request to find the photos.
How should you complete the request? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: findsimilars
It is the only one whose body parameters correspond.
Box 2: matchPerson
Find similar has two working modes, "matchPerson" and "matchFace". "matchPerson" is the default mode that it tries to find faces of the same person as possible by using internal same- person thresholds. It is useful to find a known person's other photos. Note that an empty list will be returned if no faces pass the internal thresholds. "matchFace" mode ignores same-person thresholds and returns ranked similar faces anyway, even the similarity is low. It can be used in the cases like searching celebrity-looking faces.
Reference:
https://docs.microsoft.com/en-us/rest/api/faceapi/face/detectwithurl
https://docs.microsoft.com/en-us/rest/api/faceapi/face/findsimilar
https://docs.microsoft.com/en-us/rest/api/faceapi/face/find-similar?tabs=HTTP#find-similar- results-example
NEW QUESTION # 231
You need to measure the public perception of your brand on social media messages. Which Azure Cognitive Services service should you use?
- A. Form Recognizer
- B. Text Analytics
- C. Content Moderator
- D. Computer Vision
Answer: B
Explanation:
Text Analytics Cognitive Service could be used to quickly determine the public perception for a specific topic, event or brand.
Example: A NodeJS app which pulls Tweets from Twitter using the Twitter API based on a specified search term. Then pass these onto Text Analytics for sentiment scoring before storing the data and building a visualisation in PowerBI. The Architecture looked something like this:
Reference:
https://www.linkedin.com/pulse/measuring-public-perception-azure-cognitive-services-steve-dalai
NEW QUESTION # 232
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:
1 - Generate a list of files to be translated.
2 - Define a document translation specification that has a French target.
3 - Perform an asynchronous translation by using the document translation specification.
NEW QUESTION # 233
You need to upload speech samples to a Speech Studio project.
How should you upload the samples?
- A. Upload individual audio files in the .wma format.
- B. Upload a .zip file that contains a collection of audio files in the .wav format and a corresponding text transcript file.
- C. Combine the speech samples into a single audio file in the .wma format and upload the file.
- D. Upload individual audio files in the FLAC format and manually upload a corresponding transcript in Microsoft Word format.
Answer: B
Explanation:
To upload your data, navigate to the Speech Studio . From the portal, click Upload data to launch the wizard and create your first dataset. You'll be asked to select a speech data type for your dataset, before allowing you to upload your data.
The default audio streaming format is WAV
Use this table to ensure that your audio files are formatted correctly for use with Custom Speech:
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/how-to-custom-speech- test-and-train
NEW QUESTION # 234
You are building a solution that students will use to find references for essays. You use the following code to start building the solution.
For each of the following statements, select Yes is the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
NEW QUESTION # 235
You are creating an enrichment pipeline that will use Azure Cognitive Search. The knowledge store contains unstructured JSON data and scanned PDF documents that contain text.
Which projection type should you use for each data type? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Object projection
Object projections are JSON representations of the enrichment tree that can be sourced from any node.
Box 2: File projection
File projections are similar to object projections and only act on the normalized_images collection.
Reference:
https://docs.microsoft.com/en-us/azure/search/knowledge-store-projection-overview
NEW QUESTION # 236
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
NEW QUESTION # 237
You have an Azure subscription that has the following configurations:
* Subscription ID: 8d3591aa-96b8-4737-ad09-OOf9b1ed35ad
* Tenant ID: 3edfe572-cbS4-3ced-ae12-c5c177f39a12
You plan to create a resource that will perform sentiment analysis and optical character recognition (OCR).
You need to use an HTTP request to create the resource in the subscription. The solution must use a single key and endpoint.
How should you complete the request? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
NEW QUESTION # 238
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