EXAM AI-900 SIMULATOR FREE, ACCURATE AI-900 STUDY MATERIAL

Exam AI-900 Simulator Free, Accurate AI-900 Study Material

Exam AI-900 Simulator Free, Accurate AI-900 Study Material

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Microsoft Azure AI Fundamentals Sample Questions (Q201-Q206):

NEW QUESTION # 201
brectly completes the sentence.

Answer:

Explanation:


NEW QUESTION # 202
Match the facial recognition tasks to the appropriate questions.
To answer, drag the appropriate task from the column on the left to its question on the right. Each task may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://azure.microsoft.com/en-us/services/cognitive-services/face/#features


NEW QUESTION # 203
You have an app that identifies the coordinates of a product in an image of a supermarket shelf.
Which service does the app use?

  • A. Azure Al Computer Vision Read
  • B. Azure Al Custom Vision object detection
  • C. Azure Al Custom Vision classification
  • D. Azure Al Computer Vision optical character recognition (OCR)

Answer: B


NEW QUESTION # 204
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai


NEW QUESTION # 205
You plan to apply Text Analytics API features to a technical support ticketing system.
Match the Text Analytics API features to the appropriate natural language processing scenarios.
To answer, drag the appropriate feature from the column on the left to its scenario on the right. Each feature may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation

Box1: Sentiment analysis
Sentiment Analysis is the process of determining whether a piece of writing is positive, negative or neutral.
Box 2: Broad entity extraction
Broad entity extraction: Identify important concepts in text, including key Key phrase extraction/ Broad entity extraction: Identify important concepts in text, including key phrases and named entities such as people, places, and organizations.
Box 3: Entity Recognition
Named Entity Recognition: Identify and categorize entities in your text as people, places, organizations, date/time, quantities, percentages, currencies, and more. Well-known entities are also recognized and linked to more information on the web.
Reference:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-language-processing
https://azure.microsoft.com/en-us/services/cognitive-services/text-analytics


NEW QUESTION # 206
......

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