DRAG DROP (Drag and Drop is not supported)You have 100 chatbots that each has its own Language Understanding model.Frequently, you must add the same phrases to each model.You need to programmatically update the Language Understanding models to include the new phrases.How should you complete the code? 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.Select and Place:
Answer(s): A
Box 1: AddPhraseListAsync Example: Add phraselist feature var phraselistId = await client.Features.AddPhraseListAsync(appId, versionId, new PhraselistCreateObject{EnabledForAllModels = false,IsExchangeable = true,Name = "QuantityPhraselist",Phrases = "few,more,extra"});Box 2: PhraselistCreateObject
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/client-libraries-rest-api
DRAG DROP (Drag and Drop is not supported)You plan to use a Language Understanding application named app1 that is deployed to a container.App1 was developed by using a Language Understanding authoring resource named lu1.App1 has the versions shown in the following table.You need to create a container that uses the latest deployable version of app1.Which three 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.Select and Place:
Step 1: Export the model using the Export for containers (GZIP) option.Export versioned app's package from LUIS portalThe versioned app's package is available from the Versions list page.1. Sign on to the LUIS portal.2. Select the app in the list.3. Select Manage in the app's navigation bar.4. Select Versions in the left navigation bar.5. Select the checkbox to the left of the version name in the list.6. Select the Export item from the contextual toolbar above the list.7. Select Export for container (GZIP).8. The package is downloaded from the browser.Step 2: Select v1.1 of app1.A trained or published app packaged as a mounted input to the container with its associated App ID.Step 3: Run a contain and mount the model file.Run the container, with the required input mount and billing settings.
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-container-howto
You need to build a chatbot that meets the following requirements:-Supports chit-chat, knowledge base, and multilingual models-Performs sentiment analysis on user messages-Selects the best language model automaticallyWhat should you integrate into the chatbot?
Answer(s): C
Language Understanding: An AI service that allows users to interact with your applications, bots, and IoT devices by using natural language.QnA Maker is a cloud-based Natural Language Processing (NLP) service that allows you to create a natural conversational layer over your data. It is used to find the most appropriate answer for any input from your custom knowledge base (KB) of information.Text Analytics: Mine insights in unstructured text using natural language processing (NLP)ג€"no machine learning expertise required. Gain a deeper understanding of customer opinions with sentiment analysis. The Language Detection feature of the Azure Text Analytics REST API evaluates text inputIncorrect Answers:A, B, D: Dispatch uses sample utterances for each of your bot's different tasks (LUIS, QnA Maker, or custom), and builds a model that can be used to properly route your user's request to the right task, even across multiple bots.
https://azure.microsoft.com/en-us/services/cognitive-services/text-analytics/ https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/overview/overview
Your company wants to reduce how long it takes for employees to log receipts in expense reports. All the receipts are in English.You need to extract top-level information from the receipts, such as the vendor and the transaction total. The solution must minimize development effort.Which Azure service should you use?
Azure Form Recognizer is a cognitive service that lets you build automated data processing software using machine learning technology. Identify and extract text, key/value pairs, selection marks, tables, and structure from your documentsג€"the service outputs structured data that includes the relationships in the original file, bounding boxes, confidence and more.Form Recognizer is composed of custom document processing models, prebuilt models for invoices, receipts, IDs and business cards, and the layout model.
https://docs.microsoft.com/en-us/azure/cognitive-services/form-recognizer
HOTSPOT (Drag and Drop is not supported)You need to create a new resource that will be used to perform sentiment analysis and optical character recognition (OCR). The solution must meet the following requirements:-Use a single key and endpoint to access multiple services.-Consolidate billing for future services that you might use.-Support the use of Computer Vision in the future.How should you complete the HTTP request to create the new resource? To answer, select the appropriate options in the answer area.NOTE: Each correct selection is worth one point.Hot Area:
Box 1: PUT Sample Request: PUT https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/test-rg/providers/Microsoft.DeviceUpdate/accounts/contoso?api-version=2020-03-01-previewIncorrect Answers:PATCH is for updates.Box 2: CognitiveServices Microsoft Azure Cognitive Services provide us to use its pre-trained models for various Business Problems related to Machine Learning.List of Different Services are:- Decision- Language (includes sentiment analysis)- Speech- Vision (includes OCR)- Web Search
https://docs.microsoft.com/en-us/rest/api/deviceupdate/resourcemanager/accounts/create https://www.analyticsvidhya.com/blog/2020/12/microsoft-azure-cognitive-services-api-for-ai-development/
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Question 9:Question 9 asks about how GitHub Copilot identifies public code matches when the public code filter is on.
Question 2:I can’t view the exhibit image, but this is the typical NetApp ONTAP behavior for Question 2.
Question 23:Question 23 describes a multimodal model where users can upload unsafe images that could contain hidden instructions. The goal is to implement controls to mitigate this risk. Key points to understand
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You need to implement the date dimension in the data store. The solution must meet the technical requirements. What are two ways to achieve the goal? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point. Populate the date dimension table by using a dataflow. Populate the date dimension table by using a Copy activity in a pipeline. Populate the date dimension view by using T-SQL. Populate the date dimension table by using a Stored procedure activity in a pipeline.Please answer
Question 14:
Question 5:Question 5 asks how to identify min and max values for each column in a Dataflow result. Correct options: B and E.
Question 18:Question 18: Why not A?
Question 4:Question 4 is about when to use batch processing.
Question 5:I can’t see the [Image] in Question 5, but I can explain the likely reasoning.
Question 12:Here’s why Question 12’s correct choices are C and D.
Question 3:Question 3 asks for two valid ways to meet the purchase order creation validation (warn if the vendor is on the exclusion list for the customer/product and block/alert accordingly). Correct answers: C and D
Question 12:Here’s how to understand question 12.
Question 6:Here’s how question 6 works. Key constraint: All new and extended objects must be in an existing model named FinanceExt. Creating a brand-new model is not allowed. Why the two correct options work:
Question 2:I don’t have the text for Question 2 here. Please paste the exact Question 2 (including all answer choices) or describe the topic it covers. Once I have it, I’ll:
Which statement is true about using default environment variables? The environment variables can be read in workflows using the ENV: variable_name syntax. The environment variables created should be prefixed with GITHUB_ to ensure they can be accessed in workflows The environment variables can be set in the defaults: sections of the workflow The GITHUB_WORKSPACE environment variable should be used to access files from within the runner.Correct answer: The statement "The GITHUB_WORKSPACE environment variable should be used to access files from within the runner." is true. Why the others are false:
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As an administrator for this subscription, you have been tasked with recommending a solution that prohibits users from copying corporate information from managed applications installed on unmanaged devices. Which of the following should you recommend? Windows Virtual Desktop. Microsoft Intune. Windows AutoPilot. Azure AD Application Proxy.
Question 34:
Policy
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Question 5:
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Question 7:
Question 104:
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Q23: Fabric Admin is correct. Because Domain admin cannot create domains. Only Fabric Admin can among the given options. Q51: Wrapping @pipeline.parameter.param1 inside {} will return a string. But question requires the expression to return Int, so correct answer should be @pipeline.parameter.param1 (no {})
Question 62:
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Question 32:
Question 3:
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Question 528:
Question 23:The correct answer is Domain admin (option B), not Fabric admin.
Question 2:For question 2, the key concept is the Longest Prefix Match. Routers pick the route whose subnet mask is the most specific (largest prefix length) that still matches the destination IP. From the options:
Question 129:Correct answer: CNAME