Microsoft AI-900 Online Practice Questions and Exam Preparation

Microsoft AI-900 Online Questions & Answers

• Question 231:

  You are building a tool that will process images from retail stores and identity the products of competitors.

  The solution must be trained on images provided by your company.

  Which Azure Al service should you use?

  A. Azure Al Custom Vision
  B. Azure Al Computer Vision
  C. Face
  D. Azure Al Document Intelligence
  A. Azure Al Custom Vision

• Question 232:

  HOTSPOT

  You have an Azure Machine Learning model that predicts product quality. The model has a training dataset that contains 50,000 records. A sample of the data is shown in the following table.

  

  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/machine-learning/component-reference/filter-based-feature-selection

• Question 233:

  You are building an AI-based app.

  You need to ensure that the app uses the principles for responsible AI.

  Which two principles should you follow? Each correct answer presents part of the solution.

  NOTE: Each correct selection is worth one point.

  A. Implement an Agile software development methodology
  B. Implement a process of AI model validation as part of the software review process
  C. Establish a risk governance committee that includes members of the legal team, members of the risk management team, and a privacy officer
  D. Prevent the disclosure of the use of AI-based algorithms for automated decision making
  B. Implement a process of AI model validation as part of the software review process
  C. Establish a risk governance committee that includes members of the legal team, members of the risk management team, and a privacy officer

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  Explanation

  References:

  https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-aihttps://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/3-implications-responsible-ai-practical

• Question 234:

  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: No

  Box 2: Yes

  Create a conversational question-and-answer layer over your existing data with question answering, an Azure Cognitive Service for Language feature. Build a knowledge base by adding unstructured documents or extracting questions and answers from your semi-structured content, including FAQ, manuals, and documents. Get the best answers from the questions and answers in your knowledge base automatically. Your knowledge base gets smarter, too, as it continually learns from user behavior.

  Box 3: No

  For Intent recognition use the Speech and Language Understanding (LUIS) services, which enables real-time transcription of audio streams into text, while identifying intent and entities.

  Note: Question answering provides cloud-based Natural Language Processing (NLP) 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.

  Question answering is commonly used to build conversational client applications, which include social media applications, chat bots, and speech-enabled desktop applications. Several new features have been added including enhanced relevance using a deep learning ranker, precise answers, and end-to-end region support.

  Question answering comprises of two capabilities:

  Custom question answering: Using these capability users can customize different aspects like edit question and answer pairs extracted from the content source, define synonyms and metadata, accept question suggestions etc.

  Prebuilt question answering: This capability allows users to get a response by querying a text passage without having the need to manage knowledgebases.

  References:

  https://azure.microsoft.com/en-us/products/cognitive-services/question-answering/#overviewhttps://learn.microsoft.com/en-us/azure/cognitive-services/language-service/question-answering/overview

• Question 235:

  A historian can use ________ to digitize newspaper articles.

  Select the answer that correctly completes the sentence.

  A. Object detection
  B. Facial recognition
  C. Image classification
  D. Optical character recognition (OCR)
  D. Optical character recognition (OCR)

• Question 236:

  DRAG DROP

  Match the types of natural language processing workloads to the appropriate scenarios.

  To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all.

  NOTE: Each correct match is worth one point.

  Select and Place:

  

  

• Question 237:

  Natural language processing can be used to __________.

  Select the answer that correctly completes the sentence.

  A. Analyze video content
  B. Generate speech
  C. Classify email messages as work-related or personal.
  D. Classify images
  C. Classify email messages as work-related or personal.

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  Explanation

  Natural language processing (NLP) has many uses: sentiment analysis, topic detection, language detection, key phrase extraction, and document categorization.

  Note: Specifically, you can use NLP to:

  *-> Classify documents. For instance, you can label documents as sensitive or spam.

  Do subsequent processing or searches. You can use NLP output for these purposes.

  Summarize text by identifying the entities that are present in the document.

  Tag documents with keywords. For the keywords, NLP can use identified entities.

  Do content-based search and retrieval. Tagging makes this functionality possible.

  Summarize a document's important topics. NLP can combine identified entities into topics.

  Categorize documents for navigation. For this purpose, NLP uses detected topics.

  Enumerate related documents based on a selected topic. For this purpose, NLP uses detected topics.

  Score text for sentiment. By using this functionality, you can assess the positive or negative tone of a document.

  References:

  https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-language-processing

• Question 238:

  In which two scenarios can you use speech recognition? Each correct answer presents a complete solution.

  NOTE: Each correct selection is worth one point.

  A. an in-car system that reads text messages aloud
  B. providing closed captions for recorded or live videos
  C. creating an automated public address system for a train station
  D. creating a transcript of a telephone call or meeting
  B. providing closed captions for recorded or live videos
  D. creating a transcript of a telephone call or meeting

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  Explanation

  References:

  https://azure.microsoft.com/en-gb/services/cognitive-services/speech-to-text/#features

• Question 239:

  HOTSPOT

  Select the answer that correctly completes the sentence.

  

  

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  Azure AI Language includes the Question Answering feature (formerly QnA Maker), which enables the creation of a knowledge base from frequently asked questions (FAQ). It allows users to extract question-and-answer pairs from structured or unstructured content and build conversational query systems.

• Question 240:

  Which statement is an example of a Microsoft responsible AI principle?

  A. Al systems must use only publicly available data.
  B. Al systems must protect the interests of the company.
  C. Al systems must be understandable.
  D. Al systems must keep personal details public.
  C. Al systems must be understandable.