This page was exported from Offer Free Microsoft and Cisco Exam Dumps [ http://www.hitachidumps.com ] Export date:Thu Nov 13 3:29:43 2025 / +0000 GMT ___________________________________________________ Title: [2025-November-New]Braindump2go AI-900 Exam Guide Free[Q104-Q129] --------------------------------------------------- 2025/November Latest Braindump2go AI-900 Exam Dumps with PDF and VCE Free Updated Today! Following are some new Braindump2go AI-900 Real Exam Questions!QUESTION 104You use Azure Machine Learning designer to build a model pipeline. What should you create before you can run the pipeline?A. a Jupyter notebookB. a registered modelC. a compute resourceAnswer: CQUESTION 105You need to build an image tagging solution for social media that tags images of your friends automatically. Which Azure Cognitive Services service should you use?A. Computer VisionB. FaceC. Text AnalyticsD. Form RecognizerAnswer: BExplanation:Reference:https://docs.microsoft.com/en-us/azure/cognitive-services/face/overviewhttps://docs.microsoft.com/en-us/azure/cognitive-services/face/face-api-how-to-topics/howtodetectfacesinimageQUESTION 106You use drones to identify where weeds grow between rows of crops to send an Instruction for the removal of the weeds. This is an example of which type of computer vision?A. scene segmentationB. optical character recognition (OCR)C. object detectionAnswer: CExplanation:Object detection is similar to tagging, but the API returns the bounding box coordinates for each tag applied. For example, if an image contains a dog, cat and person, the Detect operation will list those objects together with their coordinates in the image.Reference:https://docs.microsoft.com/en-us/ai-builder/object-detection-overviewhttps://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/overview-ocrhttps://docs.microsoft.com/en-us/azure/azure-video-analyzer/video-analyzer-for-media-docs/video-indexer-overviewQUESTION 107Which two languages can you use to write custom code for Azure Machine Learning designer? Each correct answer presents a complete solution.NOTE: Each correct selection is worth one point.A. PythonB. RC. C#D. ScalaAnswer: ABExplanation:Use Azure Machine Learning designer for customizing using Python and R code.Reference:https://azure.microsoft.com/en-us/services/machine-learning/designer/#featuresQUESTION 108Hotspot QuestionFor 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:https://docs.microsoft.com/en-us/azure/bot-service/bot-service-overview-introduction?view=azure-bot-service-4.0QUESTION 109Hotspot QuestionFor 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:https://docs.microsoft.com/en-us/azure/bot-service/bot-service-overview-introduction?view=azure-bot-service-4.0QUESTION 110Hotspot QuestionFor 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:Reference:https://docs.microsoft.com/en-us/azure/architecture/reference-architectures/ai/conversational-bothttps://docs.microsoft.com/en-us/azure/bot-service/bot-builder-webchat-overview?view=azure-bot-service-4.0QUESTION 111Hotspot QuestionFor 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:The translator service provides multi-language support for text translation, transliteration, language detection, and dictionaries.Speech-to-Text, also known as automatic speech recognition (ASR), is a feature of Speech Services that provides transcription.Reference:https://docs.microsoft.com/en-us/azure/cognitive-services/Translator/translator-info-overviewhttps://docs.microsoft.com/en-us/legal/cognitive-services/speech-service/speech-to-text/transparency-noteQUESTION 112Hotspot QuestionFor 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:Box 1: YesAchieving transparency helps the team to understand the data and algorithms used to train the model, what transformation logic was applied to the data, the final model generated, and its associated assets. This information offers insights about how the model was created, which allows it to be reproduced in a transparent way.Box 2: NoA data holder is obligated to protect the data in an AI system, and privacy and security are an integral part of this system. Personal needs to be secured, and it should be accessed in a way that doesn't compromise an individual's privacy.Box 3: NoInclusiveness mandates that AI should consider all human races and experiences, and inclusive design practices can help developers to understand and address potential barriers that could unintentionally exclude people. Where possible, speech-to-text, text-to-speech, and visual recognition technology should be used to empower people with hearing, visual, and other impairments.Reference:https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-aiQUESTION 113Hotspot QuestionFor 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:https://docs.microsoft.com/en-us/learn/modules/create-regression-model-azure-machine-learning-designer/5-create-training-pipeline https://docs.microsoft.com/en-us/learn/modules/create-classification-model-azure-machine-learning-designer/introductionhttps://docs.microsoft.com/en-us/learn/modules/create-clustering-model-azure-machine-learning-designer/1-introductionQUESTION 114Hotspot QuestionFor each of the following statements, select Yes if the statement is true. Otherwise, select No.NOTE: Each correct selection is worth one point. Answer: QUESTION 115Drag and Drop QuestionMatch the services to the appropriate descriptions.To answer, drag the appropriate service from the column on the left to its description on the right. Each service may be used once, more than once, or not at all.NOTE: Each correct match is worth one point Answer: QUESTION 116You are working for a car dealership. Your boss asks you to provide him with forecast information. Will the new car model be successful or not? The new model has a variety of engine improvements, more comfortable seats, and a sunroof. You compiled the list of data about previous successful models with their characteristics and sales numbers.What should you do in the pre-processing data stage that would help you predict the new model's success?A. Data selectionB. Training set selectionC. Data for model evaluation selectionD. Feature selectionE. Data classificationAnswer: DExplanation:During pre-processing, you need to work with data to select features that influence the label prediction. In this problem, features are the engine characteristics (power or volume), seat comforts, etc. They could help the ML model to predict the success of the new car model. Maybe the sunroof is not essential for predicting the label, and we need to discard this feature from the final set of features that we will use for model training.In short, Feature selection helps us to narrow down the features that are important for our label prediction and discard all features that don't play or play a minimal role in a label prediction. As a result, our trained model and prediction will be more efficient.All other options are incorrect because they are parts of the different data processing events that are irrelevant to the pre-processing (Training set selection or Data for model evaluation selection) or too generic (Data selection or Data Classification).https://docs.microsoft.com/en-us/azure/machine-learning/team-data-science-process/select-features.QUESTION 117Hotspot QuestionFor each of the following statements, select Yes if the statement is true. Otherwise, select No.NOTE: Each correct selection is worth one point. Answer: QUESTION 118You plan to develop a bot that will enable users to query a knowledge base by using natural language processing.Which two services should you include in the solution? Each correct answer presents part of the solution.NOTE: Each correct selection is worth one point.A. QnA MakerB. Azure Bot ServiceC. Form RecognizerD. Anomaly DetectorAnswer: ABExplanation:https://docs.microsoft.com/en-us/azure/bot-service/bot-service-overview-introduction?view=azure-bot-service-4.0https://docs.microsoft.com/en-us/azure/cognitive-services/luis/choose-natural-language-processing-serviceQUESTION 119In which two scenarios can you use a speech synthesis solution? Each correct answer presents a complete solution.NOTE: Each correct selection is worth one point.A. an automated voice that reads back a credit card number entered into a telephone by using a numeric keypadB. generating live captions for a news broadcastC. extracting key phrases from the audio recording of a meetingD. an AI character in a computer game that speaks audibly to a playerAnswer: ADExplanation:Azure Text to Speech is a Speech service feature that converts text to lifelike speech.Incorrect Answers:C: Extracting key phrases is not speech synthesis.Reference:https://azure.microsoft.com/en-in/services/cognitive-services/text-to-speech/QUESTION 120Drag and Drop QuestionYou need to scan the news for articles about your customers and alert employees when there is a negative article. Positive articles must be added to a press book.Which natural language processing tasks should you use to complete the process? To answer, drag the appropriate tasks to the correct locations. Each task 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:Box 1: Entity recognitionthe Named Entity Recognition module in Machine Learning Studio (classic), to identify the names of things, such as people, companies, or locations in a column of text.Named entity recognition is an important area of research in machine learning and natural language processing (NLP), because it can be used to answer many real-world questions, such as:Which companies were mentioned in a news article?Does a tweet contain the name of a person? Does the tweet also provide his current location?Were specified products mentioned in complaints or reviews?Box 2: Sentiment AnalysisThe Text Analytics API's Sentiment Analysis feature provides two ways for detecting positive and negative sentiment. If you send a Sentiment Analysis request, the API will return sentiment labels (such as "negative", "neutral" and "positive") and confidence scores at the sentence and document-level.Reference:https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/named-entity-recognitionhttps://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-sentiment-analysisQUESTION 121You need to provide content for a business chatbot that will help answer simple user queries.What are three ways to create question and answer text by using QnA Maker? Each correct answer presents a complete solution.NOTE: Each correct selection is worth one point.A. Generate the questions and answers from an existing webpage.B. Use automated machine learning to train a model based on a file that contains the questions.C. Manually enter the questions and answers.D. Connect the bot to the Cortana channel and ask questions by using Cortana.E. Import chit-chat content from a predefined data source.Answer: ACEExplanation: Automatic extractionExtract question-answer pairs from semi-structured content, including FAQ pages, support websites, excel files, SharePoint documents, product manuals and policies.Reference:https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/concepts/content-typesQUESTION 122You have a frequently asked questions (FAQ) PDF file.You need to create a conversational support system based on the FAQ.Which service should you use?A. QnA MakerB. Text AnalyticsC. Computer VisionD. Language Understanding (LUIS)Answer: AExplanation: QnA Maker is a cloud-based API service that lets you create a conversational question-and-answer layer over your existing data. Use it to build a knowledge base by extracting questions and answers from your semi-structured content, including FAQs, manuals, and documents.Reference:https://azure.microsoft.com/en-us/services/cognitive-services/qna-maker/QUESTION 123You need to reduce the load on telephone operators by implementing a chatbot to answer simple questions with predefined answers.Which two AI service should you use to achieve the goal? Each correct answer presents part of the solution.NOTE: Each correct selection is worth one point.A. Text AnalyticsB. QnA MakerC. Azure Bot ServiceD. Translator TextAnswer: BCExplanation: Bots are a popular way to provide support through multiple communication channels. You can use the QnA Maker service and Azure Bot Service to create a bot that answers user questions.Reference:https://docs.microsoft.com/en-us/learn/modules/build-faq-chatbot-qna-maker-azure-bot-service/QUESTION 124Which two scenarios are examples of a conversational AI workload? Each correct answer presents a complete solution.NOTE: Each correct selection is worth one point.A. a smart device in the home that responds to questions such as “What will the weather be like today?”B. a website that uses a knowledge base to interactively respond to users' questionsC. assembly line machinery that autonomously inserts headlamps into carsD. monitoring the temperature of machinery to turn on a fan when the temperature reaches a specific thresholdAnswer: ABExplanation: Natural language processing (NLP) is used for tasks such as sentiment analysis, topic detection, language detection, key phrase extraction, and document categorization.Reference:https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-language-processingQUESTION 125What is the main foundation for the Personal Digital Assistant?A. Azure SpeechB. Bot FrameworkC. Computer Vision ServiceD. Text AnalyticsE. Automated Machine LearningAnswer: BQUESTION 126You need to develop a web-based AI solution for a customer support system. Users must be able to interact with a web app that will guide them to the best resource or answer.Which service should you use?A. Custom VisionB. QnA MakerC. Translator TextD. FaceAnswer: BExplanation: QnA Maker is a cloud-based API service that lets you create a conversational question-and-answer layer over your existing data. Use it to build a knowledge base by extracting questions and answers from your semi-structured content, including FAQs, manuals, and documents. Answer users' questions with the best answers from the QnAs in your knowledge base—automatically. Your knowledge base gets smarter, too, as it continually learns from user behavior.Incorrect Answers:A: Azure Custom Vision is a cognitive service that lets you build, deploy, and improve your own image classifiers. An image classifier is an AI service that applies labels (which represent classes) to images, according to their visual characteristics. Unlike the Computer Vision service, Custom Vision allows you to specify the labels to apply.D: Azure Cognitive Services Face Detection API: At a minimum, each detected face corresponds to a faceRectangle field in the response. This set of pixel coordinates for the left, top, width, and height mark the located face. Using these coordinates, you can get the location of the face and its size. In the API response, faces are listed in size order from largest to smallest.Reference:https://azure.microsoft.com/en-us/services/cognitive-services/qna-maker/QUESTION 127Which AI service should you use to create a bot from a frequently asked questions (FAQ) document?A. QnA MakerB. Language Understanding (LUISC. Text AnalyticsD. SpeechAnswer: AQUESTION 128Which scenario is an example of a webchat bot?A. Determine whether reviews entered on a website for a concert are positive or negative, and then add a thumbs up or thumbs down emoji to the reviews.B. Translate into English questions entered by customers at a kiosk so that the appropriate person can call the customers back.C. Accept questions through email, and then route the email messages to the correct person based on the content of the message.D. From a website interface, answer common questions about scheduled events and ticket purchases for a music festival.Answer: DQUESTION 129Which two scenarios are examples of a conversational AI workload? Each correct answer presents a complete solution.NOTE: Each correct selection is worth one point.A. a telephone answering service that has a pre-recorder messageB. a chatbot that provides users with the ability to find answers on a website by themselvesC. telephone voice menus to reduce the load on human resourcesD. a service that creates frequently asked questions (FAQ) documents by crawling public websitesAnswer: BCExplanation:B: A bot is an automated software program designed to perform a particular task. Think of it as a robot without a body.C: Automated customer interaction is essential to a business of any size. In fact, 61% of consumers prefer to communicate via speech, and most of them prefer self-service. Because customer satisfaction is a priority for all businesses, self-service is a critical facet of any customer-facing communications strategy.Incorrect Answers:D: Early bots were comparatively simple, handling repetitive and voluminous tasks with relatively straightforward algorithmic logic. An example would be web crawlers used by search engines to automatically explore and catalog web content.Reference: https://docs.microsoft.com/en-us/azure/architecture/data-guide/big-data/ai-overviewhttps://docs.microsoft.com/en-us/azure/architecture/solution-ideas/articles/interactive-voice-response-botResources From:1.2025 Latest Braindump2go AI-900 Exam Dumps (PDF & VCE) Free Share:https://www.braindump2go.com/ai-900.html2.2025 Latest Braindump2go AI-900 PDF and AI-900 VCE Dumps Free Share:https://drive.google.com/drive/folders/1VMADE4rTtp2SjgbY_rnCokxgjUS7cH28?usp=sharing3.2025 Free Braindump2go AI-900 Exam Questions Download:https://www.braindump2go.com/free-online-pdf/AI-900-VCE-Dumps(104-129).pdfFree Resources from Braindump2go,We Devoted to Helping You 100% Pass All Exams! --------------------------------------------------- Images: http://www.hitachidumps.com/file:///C:/Users/KongWei/AppData/Local/Temp/OpenLiveWriter1112546002/supfiles4268D1/image_thumb.png http://www.hitachidumps.com/file:///C:/Users/KongWei/AppData/Local/Temp/OpenLiveWriter1112546002/supfiles4268D1/image_thumb[1].png http://www.hitachidumps.com/file:///C:/Users/KongWei/AppData/Local/Temp/OpenLiveWriter1112546002/supfiles4268D1/image_thumb[2].png http://www.hitachidumps.com/file:///C:/Users/KongWei/AppData/Local/Temp/OpenLiveWriter1112546002/supfiles4268D1/image_thumb[3].png http://www.hitachidumps.com/file:///C:/Users/KongWei/AppData/Local/Temp/OpenLiveWriter1112546002/supfiles4268D1/image_thumb[4].png http://www.hitachidumps.com/file:///C:/Users/KongWei/AppData/Local/Temp/OpenLiveWriter1112546002/supfiles4268D1/image_thumb[5].png http://www.hitachidumps.com/file:///C:/Users/KongWei/AppData/Local/Temp/OpenLiveWriter1112546002/supfiles4268D1/image_thumb[6].png http://www.hitachidumps.com/file:///C:/Users/KongWei/AppData/Local/Temp/OpenLiveWriter1112546002/supfiles4268D1/image_thumb[7].png http://www.hitachidumps.com/file:///C:/Users/KongWei/AppData/Local/Temp/OpenLiveWriter1112546002/supfiles4268D1/image_thumb[8].png http://www.hitachidumps.com/file:///C:/Users/KongWei/AppData/Local/Temp/OpenLiveWriter1112546002/supfiles4268D1/image_thumb[9].png http://www.hitachidumps.com/file:///C:/Users/KongWei/AppData/Local/Temp/OpenLiveWriter1112546002/supfiles4268D1/image_thumb[10].png http://www.hitachidumps.com/file:///C:/Users/KongWei/AppData/Local/Temp/OpenLiveWriter1112546002/supfiles4268D1/image_thumb[11].png http://www.hitachidumps.com/file:///C:/Users/KongWei/AppData/Local/Temp/OpenLiveWriter1112546002/supfiles4268D1/image_thumb[12].png http://www.hitachidumps.com/file:///C:/Users/KongWei/AppData/Local/Temp/OpenLiveWriter1112546002/supfiles4268D1/image_thumb[13].png http://www.hitachidumps.com/file:///C:/Users/KongWei/AppData/Local/Temp/OpenLiveWriter1112546002/supfiles4268D1/image_thumb[15].png http://www.hitachidumps.com/file:///C:/Users/KongWei/AppData/Local/Temp/OpenLiveWriter1112546002/supfiles4268D1/image_thumb[16].png http://www.hitachidumps.com/file:///C:/Users/KongWei/AppData/Local/Temp/OpenLiveWriter1112546002/supfiles4268D1/image_thumb[17].png http://www.hitachidumps.com/file:///C:/Users/KongWei/AppData/Local/Temp/OpenLiveWriter1112546002/supfiles4268D1/image_thumb[18].png http://www.hitachidumps.com/file:///C:/Users/KongWei/AppData/Local/Temp/OpenLiveWriter1112546002/supfiles4268D1/image_thumb[19].png http://www.hitachidumps.com/file:///C:/Users/KongWei/AppData/Local/Temp/OpenLiveWriter1112546002/supfiles4268D1/image_thumb[20].png --------------------------------------------------- --------------------------------------------------- Post date: 2025-11-12 08:02:38 Post date GMT: 2025-11-12 08:02:38 Post modified date: 2025-11-12 08:02:38 Post modified date GMT: 2025-11-12 08:02:38 ____________________________________________________________________________________________ Export of Post and Page as text file has been powered by [ Universal Post Manager ] plugin from www.gconverters.com