You are developing a method for an application that uses the Translator API. The method will receive the content of a webpage, and then translate the content into Greek (el). The result will also contain a transliteration that uses the Roman alphabet. You need to create the URI for the call to the Translator API. You have the following URI. https://api.cognitive.microsofttranslator.com/translate?api-version=3.0 Which three additional query parameters should you include in the URI? Each correct answer presents part of the solution. (Choose three.) NOTE: Each correct selection is worth one point.
A. toScript=Cyrl
B. from=el
C. textType=html
D. to=el
E. textType=plain
F. toScript=Latn
C: textType is an optional parameter. It defines whether the text being translated is plain text or HTML text (used for web pages). D: to is a required parameter. It specifies the language of the output text. The target language must be one of the supported languages included in the translation scope. F: toScript is an optional parameter. It specifies the script of the translated text. We use Latin (Roman alphabet) script. Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/translator/reference/v3-0-translate
Question 102
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen. You develop an application to identify species of flowers by training a Custom Vision model. You receive images of new flower species. You need to add the new images to the classifier. Solution: You create a new model, and then upload the new images and labels. Does this meet the goal?
A. Yes
B. No
The model needs to be extended and retrained.
Question 103
You have a chatbot that was built by using the Microsoft Bot Framework. You need to debug the chatbot endpoint remotely. Which two tools should you install on a local computer? Each correct answer presents part of the solution. (Choose two.) NOTE: Each correct selection is worth one point.
A. Fiddler
B. Bot Framework Composer
C. Bot Framework Emulator
D. Bot Framework CLI
E. ngrok
F. nginx
Bot Framework Emulator is a desktop application that allows bot developers to test and debug bots, either locally or remotely. ngrok is a cross-platform application that "allows you to expose a web server running on your local machine to the internet." Essentially, what we'll be doing is using ngrok to forward messages from external channels on the web directly to our local machine to allow debugging, as opposed to the standard messaging endpoint configured in the Azure portal. Reference: https://docs.microsoft.com/en-us/azure/bot-service/bot-service-debug-emulator
Question 104
HOTSPOT - You are developing a service that records lectures given in English (United Kingdom). You have a method named AppendToTranscriptFile that takes translated text and a language identifier. You need to develop code that will provide transcripts of the lectures to attendees in their respective language. The supported languages are English, French, Spanish, and German. How should you complete the code? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. Hot Area:
Box 1: {"fr", "de", "es"} A common task of speech translation is to specify target translation languages, at least one is required but multiples are supported. The following code snippet sets both French and German as translation language targets. static async Task TranslateSpeechAsync() { var translationConfig = SpeechTranslationConfig.FromSubscription(SPEECH__SUBSCRIPTION__KEY, SPEECH__SERVICE__REGION); translationConfig.SpeechRecognitionLanguage = "it-IT"; // Translate to languages. See, https://aka.ms/speech/sttt-languages translationConfig.AddTargetLanguage("fr"); translationConfig.AddTargetLanguage("de"); } Box 2: TranslationRecognizer - After you've created a SpeechTranslationConfig, the next step is to initialize a TranslationRecognizer. Example code: static async Task TranslateSpeechAsync() { var translationConfig = SpeechTranslationConfig.FromSubscription(SPEECH__SUBSCRIPTION__KEY, SPEECH__SERVICE__REGION); var fromLanguage = "en-US"; var toLanguages = new List<string> { "it", "fr", "de" }; translationConfig.SpeechRecognitionLanguage = fromLanguage; toLanguages.ForEach(translationConfig.AddTargetLanguage); using var recognizer = new TranslationRecognizer(translationConfig); }
Question 105
DRAG DROP - You are building a retail chatbot that will use a QnA Maker service. You upload an internal support document to train the model. The document contains the following question: "What is your warranty period?" Users report that the chatbot returns the default QnA Maker answer when they ask the following question: "How long is the warranty coverage?" The chatbot returns the correct answer when the users ask the following question: 'What is your warranty period?" Both questions should return the same answer. You need to increase the accuracy of the chatbot responses. 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. (Choose three.) Select and Place:
Step 1: Add alternative phrasing to the question and answer (QnA) pair. Add alternate questions to an existing QnA pair to improve the likelihood of a match to a user query. Step 2: Retrain the model. Periodically select Save and train after making edits to avoid losing changes. Step 3: Republish the model - Note: A knowledge base consists of question and answer (QnA) pairs. Each pair has one answer and a pair contains all the information associated with that answer. Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/how-to/edit-knowledge-base
Question 106
You need to measure the public perception of your brand on social media by using natural language processing. Which Azure Cognitive Services service should you use?
A. Text Analytics
B. Content Moderator
C. Computer Vision
D. Form Recognizer
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 https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview
Question 107
DRAG DROP - You train a Custom Vision model used in a mobile app. You receive 1,000 new images that do not have any associated data. You need to use the images to retrain the model. The solution must minimize how long it takes to retrain the model. Which three actions should you perform in the Custom Vision portal? 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:
You are building a Language Understanding model for an e-commerce chatbot. Users can speak or type their billing address when prompted by the chatbot. You need to construct an entity to capture billing addresses. Which entity type should you use?
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen. You build a language model by using a Language Understanding service. The language model is used to search for information on a contact list by using an intent named FindContact. A conversational expert provides you with the following list of phrases to use for training. - Find contacts in London. - Who do I know in Seattle? - Search for contacts in Ukraine. You need to implement the phrase list in Language Understanding. Solution: You create a new entity for the domain. Does this meet the goal?
A. Yes
B. No
Instead use a new intent for location. Note: An intent represents a task or action the user wants to perform. It is a purpose or goal expressed in a user's utterance. Define a set of intents that corresponds to actions users want to take in your application. Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-concept-intent
Question 110
You are building an Azure WebJob that will create knowledge bases from an array of URLs. You instantiate a QnAMakerClient object that has the relevant API keys and assign the object to a variable named client. You need to develop a method to create the knowledge bases. Which two actions should you include in the method? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
A. Create a list of FileDTO objects that represents data from the WebJob.
B. Call the client.Knowledgebase.CreateAsync method.
C. Create a list of QnADTO objects that represents data from the WebJob.
