Pass Guaranteed 2024 Microsoft AI-900: Useful Microsoft Azure AI Fundamentals Torrent

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Microsoft AI-900 (Microsoft Azure AI Fundamentals) Exam is an ideal certification for individuals who want to demonstrate their knowledge and skills in the field of Artificial Intelligence and Machine Learning. It is a great starting point for beginners who are interested in pursuing a career in AI and ML, as well as for professionals who work in IT, data science, and other related fields.

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There are many advantages of our Microsoft AI-900 pdf torrent: latest real questions, accurate answers, instantly download and high passing rate. You can totally trust our Microsoft AI-900 Practice Test because all questions are created based on the requirements of the certification center.

Microsoft Azure is one of the leading cloud platforms that offer a wide range of AI and ML services to help organizations build intelligent applications. By becoming certified in AI-900, individuals can demonstrate their proficiency in AI and ML concepts and their ability to utilize Azure services to build intelligent applications. Moreover, this certification can help individuals advance their career in AI and ML and can serve as a stepping stone to more advanced certifications in the field.

The Microsoft AI-900 Exam consists of 40-60 multiple-choice questions that need to be completed within 60 minutes. The questions are designed to test the candidate's knowledge of the concepts covered in the exam. AI-900 exam can be taken online or in-person, and the passing score is 700 out of 1000.

Microsoft Azure AI Fundamentals Sample Questions (Q110-Q115):


NEW QUESTION # 110
You need to scan the news for articles about your customers and alert employees when there is a negative article. Positive articles must be added to a press book.
Which natural language processing tasks should you use to complete the process? To answer, drag the appropriate tasks to the correct locations. Each task may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.


Answer:

Explanation:
Explanation
Diagram Description automatically generated

Box 1: Entity recognition
the Named Entity Recognition module in Machine Learning Studio (classic), to identify the names of things, such as people, companies, or locations in a column of text.
Named entity recognition is an important area of research in machine learning and natural language processing (NLP), because it can be used to answer many real-world questions, such as:
* Which companies were mentioned in a news article?
* Does a tweet contain the name of a person? Does the tweet also provide his current location?
* Were specified products mentioned in complaints or reviews?
Box 2: Sentiment Analysis
The Text Analytics API's Sentiment Analysis feature provides two ways for detecting positive and negative sentiment. If you send a Sentiment Analysis request, the API will return sentiment labels (such as "negative",
"neutral" and "positive") and confidence scores at the sentence and document-level.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/named-entity-recognition
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-sentimen

 

NEW QUESTION # 111
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:

Reference:
https://azure.microsoft.com/en-us/services/cognitive-services/text-analytics

 

NEW QUESTION # 112
You are authoring a Language Understanding (LUIS) application to support a music festival.
You want users to be able to ask questions about scheduled shows, such as: "Which act is playing on the main stage?" The question "Which act is playing on the main stage?" is an example of which type of element?

  • A. a domain

  • B. an entity

  • C. an intent

  • D. an utterance


Answer: D

Explanation:
Explanation
Utterances are input from the user that your app needs to interpret.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/LUIS/luis-concept-utterance

 

NEW QUESTION # 113
To complete the sentence, select the appropriate option in the answer area.


Answer:

Explanation:

Explanation:
Diagram, table Description automatically generated

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

 

NEW QUESTION # 114
Match the tool to the Azure Machine Learning task.
To answer, drag the appropriate tool from the column on the left to its tasks on the right. Each tool may be used once, more than once, or not at all NOTE: Each correct match is worth one point.


Answer:

Explanation:

Explanation


 

NEW QUESTION # 115
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