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NEW QUESTION 48
You need to develop a chatbot for a website. The chatbot must answer users questions based on the information m the following documents
* A product troubleshooting guide m a Microsoft Word document
* A frequently asked questions (FAQ) list on a webpage
Which service should you use to process the documents?

  • A. QnA Maker
  • B. Language Undemanding
  • C. Azure Bot Service
  • D. Text Analytics

Answer: A

 

NEW QUESTION 49
Match the types of natural languages 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 selection is worth one point.
AI-900-2f99e3a021837bbba313d820597848a6.jpg

Answer:

Explanation:
AI-900-553ff9a80e7ee2beddad4417b42eac10.jpg
Explanation:
Box 1: Key phrase extraction
Broad entity extraction: Identify important concepts in text, including key phrases and named entities such as people, places, and organizations.
Box 2: Sentiment analysis
Sentiment Analysis is the process of determining whether a piece of writing is positive, negative or neutral.
Box 3: Translation
Using Microsoft's Translator text API
This versatile API from Microsoft can be used for the following: Translate text from one language to another.
Transliterate text from one script to another. Detecting language of the input text.
Find alternate translations to specific text. Determine the sentence length.
Incorrect Answers:
Not Natural language processing (NLP), which is used for tasks such as sentiment analysis, topic detection, language detection, key phrase extraction, and document categorization.
Reference:
https://azure.microsoft.com/en-us/services/cognitive-services/text-analytics

 

NEW QUESTION 50
To complete the sentence, select the appropriate option in the answer area.
AI-900-663fd2a6408df7f2f7bc924e2351fee3.jpg

Answer:

Explanation:
AI-900-df582d939edef0b22e06921398f31e2b.jpg
Explanation
AI-900-975026b4c45876f1242ace09515ed304.jpg
To perform real-time inferencing, you must deploy a pipeline as a real-time endpoint.
Real-time endpoints must be deployed to an Azure Kubernetes Service cluster.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/concept-designer#deploy

 

NEW QUESTION 51
......

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