Microsoft Microsoft Certifications AI-900 Questions & Answers

• Question 171:

  You 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 Maker

  B. Text Analytics

  C. Computer Vision

  D. Language Understanding (LUIS)

  Correct Answer: A

  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 172:

  You 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.

  Correct Answer: ACE

  Automatic extraction

  Extract 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-types

• Question 173:

  Which 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 message

  B. a chatbot that provides users with the ability to find answers on a website by themselves

  C. telephone voice menus to reduce the load on human resources

  D. a service that creates frequently asked questions (FAQ) documents by crawling public websites

  Correct Answer: BC

  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-overview https://docs.microsoft.com/en-us/azure/architecture/solution-ideas/articles/interactive-voice-response-bot

• Question 174:

  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

  Correct Answer: BD

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

• Question 175:

  You need to build an app that will read recipe instructions aloud to support users who have reduced vision. Which version service should you use?

  A. Text Analytics

  B. Translator Text

  C. Speech

  D. Language Understanding (LUIS)

  Correct Answer: C

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

• Question 176:

  You are developing a solution that uses the Text Analytics service.

  You need to identify the main talking points in a collection of documents.

  Which type of natural language processing should you use?

  A. entity recognition

  B. key phrase extraction

  C. sentiment analysis

  D. language detection

  Correct Answer: B

  What is document and conversation summarization (preview), key features There are two types of document summarization this API provides:

  *

  Extractive summarization: Produces a summary by extracting salient sentences within the document.

  -> Multiple extracted sentences: These sentences collectively convey the main idea of the document. They’re original sentences extracted from the input document's content.

  -> Etc.

  *

  Abstractive summarization

  Reference:

  https://learn.microsoft.com/en-us/azure/cognitive-services/language-service/summarization/overview?tabs=document-summarization

• Question 177:

  You use natural language processing to process text from a Microsoft news story. You receive the output shown in the following exhibit.

  

  Which type of natural languages processing was performed?

  A. entity recognition

  B. key phrase extraction

  C. sentiment analysis

  D. translation

  Correct Answer: A

  You can provide the Text Analytics service with unstructured text and it will return a list of entities in the text that it recognizes. You can provide the Text Analytics service with unstructured text and it will return a list of entities in the text that it recognizes. The service can also provide links to more information about that entity on the web. An entity is essentially an item of a particular type or a category; and in some cases, subtype, such as those as shown in the following table. https://docs.microsoft.com/en-us/learn/modules/ analyze-text-with-text-analytics-service/2-get-started-azure

  https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview

• Question 178:

  You are developing a natural language processing solution in Azure. The solution will analyze customer reviews and determine how positive or negative each review is. This is an example of which type of natural language processing workload?

  A. language detection

  B. sentiment analysis

  C. key phrase extraction

  D. entity recognition

  Correct Answer: B

  Sentiment Analysis is the process of determining whether a piece of writing is positive, negative or neutral.

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

• Question 179:

  You are developing a chatbot solution in Azure.

  Which service should you use to determine a user's intent?

  A. Translator Text

  B. QnA Maker

  C. Speech

  D. Language Understanding (LUIS)

  Correct Answer: D

  Language Understanding (LUIS) is a cloud-based API service that applies custom machine-learning intelligence to a user's conversational, natural language text to predict overall meaning, and pull out relevant, detailed information.

  Design your LUIS model with categories of user intentions called intents. Each intent needs examples of user utterances. Each utterance can provide data that needs to be extracted with machine-learning entities.

  Reference:

  https://docs.microsoft.com/en-us/azure/cognitive-services/luis/what-is-luis

• Question 180:

  You need to make the press releases of your company available in a range of languages. Which service should you use?

  A. Translator Text

  B. Text Analytics

  C. Speech

  D. Language Understanding (LUIS)

  Correct Answer: A

  Translator is a cloud-based machine translation service you can use to translate text in near real-time through a simple REST API call. The service uses modern neural machine translation technology and offers statistical machine translation technology. Custom Translator is an extension of Translator, which allows you to build neural translation systems.

  Reference: https://docs.microsoft.com/en-us/azure/cognitive-services/translator/