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Free AI-900 Exam Braindumps (page: 33)

Page 32 of 63
PDF with 247 Questions

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

  1. Speech
  2. Language
  3. Translator
  4. Personalizer

Answer(s): C

Explanation:

Translator, an AI service for real-time document and text translation.
Translate text instantly or in batches across more than 100 languages, powered by the latest innovations in machine translation. Support a wide range of use cases, such as translation for call centers, multilingual conversational agents, or in-app communication.


Reference:

https://azure.microsoft.com/en-us/services/cognitive-services/translator/4



You have insurance claim reports that are stored as text.
You need to extract key terms from the reports to generate summaries.
Which type of AI workload should you use?

  1. anomaly detection
  2. natural language processing
  3. computer vision
  4. knowledge mining

Answer(s): B

Explanation:

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. For example, in the text
"The food was delicious and the staff were wonderful.", key phrase extraction will return the main topics: "food" and "wonderful staff".


Reference:

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



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?

  1. Language service
  2. Translator
  3. Speech
  4. Personalizer

Answer(s): C

Explanation:

Speech, a managed service offering industry-leading speech capabilities such as speech-to-text, text-to-speech, speech translation, and speaker recognition.


Reference:

https://azure.microsoft.com/en-us/services/cognitive-services/speech-services/



You have a webchat bot that provides responses from a QnA Maker knowledge base.
You need to ensure that the bot uses user feedback to improve the relevance of the responses over time.
What should you use?

  1. key phrase extraction
  2. sentiment analysis
  3. business logic
  4. active learning

Answer(s): D


Reference:

https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/how-to/improve-knowledge-base






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