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NEW QUESTION 40
You are building a knowledge base by using QnA Maker. Which file format can you use to populate the knowledge base?

  • A. XML
  • B. PPTX
  • C. PDF
  • D. ZIP

Answer: C

 

NEW QUESTION 41
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/dotnet/machine-learning/resources/tasks

 

NEW QUESTION 42
Your website has a chatbot to assist customers.
You need to detect when a customer is upset based on what the customer types in the chatbot.
Which type of AI workload should you use?

  • A. regression
  • B. natural language processing
  • C. semantic segmentation
  • D. anomaly detection

Answer: B

Explanation:
Section: Describe features of Natural Language Processing (NLP) workloads on Azure Explanation:
Natural language processing (NLP) is used for tasks such as sentiment analysis, topic detection, language detection, key phrase extraction, and document categorization.
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

 

NEW QUESTION 43
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.

Answer:

Explanation:

Explanation
Box 1: Entity recognition
Classify a broad range of entities in text, such as people, places, organisations, date/time and percentages, using named entity recognition. Whereas:- Get a list of relevant phrases that best describe the subject of each record using key phrase extraction.
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.
Reference:
https://azure.microsoft.com/en-us/services/cognitive-services/text-analytics

 

NEW QUESTION 44
You are building an AI system.
Which task should you include to ensure that the service meets the Microsoft transparency principle for responsible AI?

  • A. Provide documentation to help developers debug code.
  • B. Ensure that a training dataset is representative of the population.
  • C. Enable autoscaling to ensure that a service scales based on demand.
  • D. Ensure that all visuals have an associated text that can be read by a screen reader.

Answer: A

Explanation:
Reference:
https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles

 

NEW QUESTION 45
……

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