Microsoft AI-900 Online Practice Questions and Exam Preparation

Microsoft AI-900 Online Questions & Answers

• Question 321:

  HOTSPOT

  For each of the following statements, select Yes if the statement is true. Otherwise, select No.

  NOTE: Each correct selection is worth one point.

  

  

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  References:

  https://docs.microsoft.com/en-us/azure/bot-service/bot-service-manage-channels?view=azure-bot-service-4.0

• Question 322:

  Which Azure Machine Learning capability should you use to quickly build and deploy a predictive model without extensive coding?

  A. ML pipelines
  B. Copilot
  C. DALL-E
  D. automated machine learning (automated ML)
  D. automated machine learning (automated ML)

• Question 323:

  HOTSPOT

  For each of the following statements, select Yes if the statement is true. Otherwise, select No.

  NOTE: Each correct selection is worth one point.

  

  

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  Box 1: Yes

  Azure bot service can be integrated with the powerful AI capabilities with Azure Cognitive Services.

  Box 2: Yes

  Azure bot service engages with customers in a conversational manner.

  Box 3: No

  The QnA Maker service creates knowledge base, not question and answers sets.

  Note: You can use the QnA Maker service and a knowledge base to add question-and-answer support to your bot. When you create your knowledge base, you seed it with questions and answers.

  References:

  https://docs.microsoft.com/en-us/azure/bot-service/bot-builder-tutorial-add-qna

• Question 324:

  You have an app that identifies the coordinates of a product in an image of a supermarket shelf.

  Which service does the app use?

  A. Azure Al Custom Vision object detection
  B. Azure Al Computer Vision Read
  C. Azure Al Computer Vision optical character recognition (OCR)
  D. Azure Al Custom Vision classification
  A. Azure Al Custom Vision object detection

• Question 325:

  A medical research project uses a large anonymized dataset of brain scan images that are categorized into predefined brain haemorrhage types. You need to use machine learning to support early detection of the different brain haemorrhage types in the images before the images are reviewed by a person.

  This is an example of which type of machine learning?

  A. clustering
  B. regression
  C. classification
  C. classification

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  Explanation

  References:

  https://docs.microsoft.com/en-us/learn/modules/create-classification-model-azure-machine-learning-designer/introduction

• Question 326:

  HOTSPOT

  Select the answer that correctly completes the sentence.

  

  

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  Box: optical character recognition (OCR) OCR or Optical Character Recognition is also referred to as text recognition or text extraction. Machine-learning based OCR techniques allow you to extract printed or handwritten text from images, such as posters, street signs and product labels, as well as from documents like articles, reports, forms, and invoices.

  According to the Microsoft Azure AI Fundamentals (AI-900) Official Study Guide and the Microsoft Learn module "Explore computer vision in Microsoft Azure," Optical Character Recognition (OCR) is a computer vision capability that detects and extracts printed or handwritten text from images or scanned documents and converts it into machine-readable digital text. In this scenario, a historian wants to digitize newspaper articles - which means converting physical or scanned images of printed text into digital text for easier searching, archiving, and analysis. This is exactly the function of OCR. By using OCR, the historian can take photos or scans of old newspapers and extract the words into editable digital documents, preserving valuable historical information. OCR is a key feature of the Azure Computer Vision service, which provides capabilities such as: Extracting text from images or PDFs. Reading both printed and handwritten text in multiple languages. Converting physical documents into searchable digital files. Let's examine the incorrect options: Facial analysis: Detects facial features, age, gender, and emotions - unrelated to text extraction. Image classification: Identifies what an image contains (e.g., "dog," "car," or "building") but doesn't extract text. Object detection: Identifies and locates objects within an image using bounding boxes, not suitable for text recognition. Therefore, to digitize newspaper articles and convert printed words into editable digital text, the correct technology to use is Optical Character Recognition (OCR), provided by the Azure Computer Vision API. # Final Answer: optical character recognition (OCR)

  References:

  https://learn.microsoft.com/en-us/azure/cognitive-services/computer-vision/overview-ocr

• Question 327:

  You use Azure Machine Learning designer to build a model pipeline.

  What should you create before you can run the pipeline?

  A. a Jupyter notebook
  B. a registered model
  C. a compute resource
  C. a compute resource

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  Explanation

  To train the model, we will create Azure Machine Learning Compute resource.

  References:

  https://github.com/solliancenet/azure-machine-learning-quickstarts/blob/master/aml-visual-interface/README.md

• Question 328:

  You need to convert receipts into transactions in a spreadsheet. The spreadsheet must include the date of the transaction, the merchant, the total spent, and any taxes paid.

  Which Azure AI service should you use?

  A. Custom Vision
  B. Form Recognizer
  C. Face
  D. Language
  B. Form Recognizer

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  Explanation

  Microsoft Azure Form Recognizer is an automated data processing system that uses AI and OCR to quickly extract text and structure from documents.

  References:

  https://azure.microsoft.com/en-us/products/form-recognizer/

• Question 329:

  HOTSPOT

  For each of the following statements, select Yes if the statement is true. Otherwise, select No.

  NOTE: Each correct selection is worth one point.

  

  

• Question 330:

  You 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 Analytics
  B. QnA Maker
  C. Azure Bot Service
  D. Translator Text
  B. QnA Maker
  C. Azure Bot Service

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  Explanation

  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.

  References:

  https://docs.microsoft.com/en-us/learn/modules/build-faq-chatbot-qna-maker-azure-bot-service/