Microsoft Microsoft Certifications AI-900 Questions & Answers

• Question 221:

  You have 100 instructional videos that do NOT contain any audio. Each instructional video has a script.

  You need to generate a narration audio file for each video based on the script. Which type of workload should you use?

  A. language modeling

  B. speech recognition

  C. speech synthesis

  D. translation

  Correct Answer: C

  Text to speech enables your applications, tools, or devices to convert text into humanlike synthesized speech. The text to speech capability is also known as speech synthesis. Use humanlike prebuilt neural voices out of the box, or create a custom neural voice that's unique to your product or brand.

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

• Question 222:

  You have a solution that reads manuscripts in different languages and categorizes the manuscripts based on topic. Which types of natural language processing (NLP) workloads does the solution use?

  A. speech recognition and entity recognition

  B. speech recognition and language modeling

  C. translation and key phrase extraction

  D. translation and sentiment analysis

  Correct Answer: C

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

  Need translation as different languages are used.

  Key phrase extraction is one of the features offered by Azure Cognitive Service for Language, a collection of machine learning and AI algorithms in the cloud for developing intelligent applications that involve written language. Use key phrase

  extraction to quickly identify the main concepts in text.

  Reference:

  https://learn.microsoft.com/en-us/azure/cognitive-services/language-service/key-phrase-extraction/overview

• Question 223:

  You plan to build a conversational AI solution that can be surfaced in Microsoft Teams, Microsoft Cortana, and Amazon Alexa. Which service should you use?

  A. Azure Bot Service

  B. Azure Cognitive Search

  C. Speech

  D. Language service

  Correct Answer: A

  Build an enterprise-grade conversational bot

  This reference architecture describes how to build an enterprise-grade conversational bot (chatbot) using the Azure Bot Framework.

  Authentication. Users start by authenticating themselves using whatever mechanism is provided by their channel of communication with the bot. The bot framework supports many communication channels, including Cortana, Microsoft

  Teams, Facebook Messenger, Kik, and Slack.

• Question 224:

  Which Azure Cognitive Services service can be used to identify documents that contain sensitive information?

  A. Custom Vision

  B. Conversational Language Understanding

  C. Form Recognizer

  Correct Answer: C

• Question 225:

  Which statement is an example of a Microsoft responsible AJ 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

  Correct Answer: C

• Question 226:

  You need to identify street names based on street signs in photographs. Which type of computer vision should you use?

  A. object detection

  B. optical character recognition (OCR)

  C. image classification

  D. facial recognition

  Correct Answer: C

• Question 227:

  You have a bot that identifies the brand names of products in images of supermarket shelves. Which service does the bot use?

  A. AI enrichment for Azure Search capabilities

  B. Computer Vision Image Analysis capabilities

  C. Custom Vision Image Classification capabilities

  D. Language Understanding capabilities

  Correct Answer: C

  Explanation:

  Brand detection is a specialized mode of object detection that uses a database of thousands of global logos to identify commercial brands in images or video. You can use this feature, for example, to discover which brands are most popular

  on social media or most prevalent in media product placement.

  The Azure AI Vision service detects whether there are brand logos in a given image; if there are, it returns the brand name, a confidence score, and the coordinates of a bounding box around the logo.

  The built-in logo database covers popular brands in consumer electronics, clothing, and more. If you find that the brand you're looking for is not detected by the Azure AI Vision service, you could also try creating and training your own logo

  detector using the Custom Vision service.

  Reference:

  https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/concept-brand-detection