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Guide AI-900 Torrent | Vce AI-900 Format

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Microsoft AI-900 Exam (Microsoft Azure AI Fundamentals) is a certification exam that tests your foundational knowledge of artificial intelligence and machine learning on the Azure cloud platform. AI-900 exam is designed for individuals who want to build a career in AI or for professionals who want to incorporate AI into their current job roles. Microsoft Azure AI Fundamentals certification is ideal for data scientists, software developers, business analysts, and IT professionals who want to gain a better understanding of AI concepts and how they can be applied to solve business problems.

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Microsoft AI-900, also known as Microsoft Azure AI Fundamentals Exam, is a certification exam that tests knowledge of artificial intelligence concepts and their applications in Microsoft Azure. AI-900 Exam is designed for individuals looking to gain an understanding of AI, its potential use cases, and how to leverage Azure AI services to build intelligent solutions.

Microsoft Azure AI Fundamentals Sample Questions (Q29-Q34):

NEW QUESTION # 29
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation
Graphical user interface, text, application, email Description automatically generated

NEW QUESTION # 30
Which two resources can you use to analyze code and generate explanations of code function and code comments? Each correct answer presents a complete solution.
NOTE: Each correct answer is worth one point.

A. the Azure OpenAI DALL-E model
B. the GitHub Copilot service
C. the Azure OpenAI GPT-4 model
D. the Azure OpenAI Whisper model

Answer: A,C

NEW QUESTION # 31
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation

Box 1: Yes
Content Moderator is part of Microsoft Cognitive Services allowing businesses to use machine assisted moderation of text, images, and videos that augment human review.
The text moderation capability now includes a new machine-learning based text classification feature which uses a trained model to identify possible abusive, derogatory or discriminatory language such as slang, abbreviated words, offensive, and intentionally misspelled words for review.
Box 2: No
Azure's Computer Vision service gives you access to advanced algorithms that process images and return information based on the visual features you're interested in. For example, Computer Vision can determine whether an image contains adult content, find specific brands or objects, or find human faces.
Box 3: Yes
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://azure.microsoft.com/es-es/blog/machine-assisted-text-classification-on-content-moderator-public-preview
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-language-processing

NEW QUESTION # 32
Match the machine learning tasks to the appropriate scenarios.
To answer, drag the appropriate task from the column on the left to its scenario 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://docs.microsoft.com/en-us/azure/machine-learning/studio/evaluate-model-performance
https://docs.microsoft.com/en-us/azure/machine-learning/concept-automated-ml

NEW QUESTION # 33
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 34
......

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Liam Roberts Liam Roberts

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