Download Designing and Implementing a Microsoft Azure AI Solution (beta).VCEPlus.AI-102.2021-05-04.4e.54q.vcex

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 
Reference: 
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/client-libraries-rest-api

Step 1: Export the model using the Export for containers (GZIP) option. 
Export versioned app's package from LUIS portal  
The versioned app's package is available from the Versions list page.  
Sign on to the LUIS portal.  
Select the app in the list.  
Select Manage in the app's navigation bar.  
Select Versions in the left navigation bar.  
Select the checkbox to the left of the version name in the list.  
Select the Export item from the contextual toolbar above the list.  
Select Export for container (GZIP).  
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.  
Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-container-howto

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)—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 input  
Incorrect 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. 
Reference: 
https://azure.microsoft.com/en-us/services/cognitive-services/text-analytics/ 
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/overview/overview

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 documents—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.  
Reference: 
https://docs.microsoft.com/en-us/azure/cognitive-services/form-recognizer

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-preview 
Incorrect 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  
Reference: 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/

AI systems should treat all people fairly.  
AI systems should perform reliably and safely.  
Reference: https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/strategy/responsible-ai

Step 1: Pull the Anomaly Detector container image. 
Step 2: Create a custom Dockerfile 
Step 3: Push the image to an Azure container registry. 
To push an image to an Azure Container registry, you must first have an image.  
Step 4: Distribute the docker run script 
Use the docker run command to run the containers.  
Reference: 
https://docs.microsoft.com/en-us/azure/container-registry/container-registry-intro

Box 1: mcr.microsoft.com/azure-cognitive-services/textanalytics/sentiment To run the Sentiment Analysis v3 container, execute the following docker run command. docker run  
--rm -it -p 5000:5000 --memory 8g --cpus 1 \ mcr.microsoft.com/azure-cognitive-
services/textanalytics/sentiment \  
Eula=accept \  
Billing={ENDPOINT_URI} \  
ApiKey={API_KEY} is the endpoint for accessing the Text Analytics API. https://<your-custom-subdomain>.cognitiveservices.azure.com 
Box 2: https://contoso.cognitiveservices.azure.com 
{ENDPOINT_URI}  is the endpoint for accessing the Text Analytics API: https://<your-custom-subdomain>.cognitiveservices.a The endpoint for accessing the Text Analytics API. zure.com 
Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-install-containers?tabs=sentiment

Many of the Cognitive Services have a free tier you can use to try the service. To use the free tier, use F0 as the SKU for your resource.  
There are two tiers of keys for the Custom Vision service. You can sign up for a F0 (free) or S0 (standard) subscription through the Azure portal.  
Incorrect Answers: 
A: There is no free tier (F0) for ComputerVision. 
Reference: 
https://docs.microsoft.com/en-us/azure/cognitive-services/cognitive-services-apis-create-account-client-library?pivots=programming-language-csharp https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/limits-and-quotas

Accounts - Regenerate Key regenerates the specified account key for the specified Cognitive Services account.  
Syntax: 
POST https://management.azure.com/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.CognitiveServices/accounts/{accountName}/regenerateKey?api-version=2017-04-18 
Reference: 
https://docs.microsoft.com/en-us/rest/api/cognitiveservices/accountmanagement/accounts/regeneratekey