100% Pass Quiz AI-900 - Microsoft Azure AI Fundamentals–Valid Reliable Test Objectives

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Microsoft AI-900 (Microsoft Azure AI Fundamentals) Exam is a certification exam designed to test the fundamental knowledge of candidates in the field of artificial intelligence and machine learning. AI-900 exam is intended for individuals who want to validate their foundational knowledge of AI and its applications in the Microsoft Azure environment. AI-900 exam is suitable for technical and non-technical professionals who wish to gain knowledge and skills in AI and machine learning.

Microsoft AI-900, also known as Microsoft Azure AI Fundamentals, is a certification exam that tests the foundational knowledge of candidates in the field of artificial intelligence (AI) and machine learning (ML). Microsoft Azure AI Fundamentals certification exam is designed for individuals who are interested in learning about AI and ML concepts and how they can be implemented in Microsoft Azure. AI-900 Exam covers a wide range of topics related to AI, including cognitive services, natural language processing (NLP), computer vision, and conversational AI.

>> Reliable AI-900 Test Objectives <<

100% Pass Quiz Microsoft - AI-900 - Accurate Reliable Microsoft Azure AI Fundamentals Test Objectives

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Passing the AI-900 certification exam demonstrates that the candidate has a fundamental understanding of AI technologies and their applications in the Azure ecosystem. It is an excellent way to showcase your skills and knowledge to potential employers and clients. Microsoft Azure AI Fundamentals certification also provides a solid foundation for further Microsoft Azure certifications in AI and data science. Overall, the Microsoft AI-900 Certification Exam is an excellent way to kickstart your career in AI and demonstrate your proficiency in the field.

Microsoft Azure AI Fundamentals Sample Questions (Q286-Q291):

NEW QUESTION # 286
An app that analyzes social media posts to identify their tone is an example of which type of natural language processing (NLP) workload?

Answer: D


NEW QUESTION # 287
Match the principles of responsible AI to appropriate requirements.
To answer, drag the appropriate principles from the column on the left to its requirement on the right. Each principle 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:

Reference:
https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/innovate/best-practices/trusted-ai
https://docs.microsoft.com/en-us/learn/modules/responsible-ai-principles/4-guiding-principles


NEW QUESTION # 288
Which OpenAI model does GitHub Copilot use to make suggestions for client-side JavaScript?

Answer: B

Explanation:
According to the Microsoft Azure AI Fundamentals (AI-900) learning path and Microsoft Learn documentation on GitHub Copilot, GitHub Copilot is powered by OpenAI Codex, a specialized language model derived from the GPT-3 family but fine-tuned specifically on programming languages and code data.
OpenAI Codex was designed to translate natural language prompts into executable code in multiple programming languages, including JavaScript, Python, C#, TypeScript, and Go. It can understand comments, function names, and code structure to generate relevant code suggestions in real time.
When a developer writes client-side JavaScript, GitHub Copilot uses Codex to analyze the context of the file and generate intelligent suggestions, such as completing functions, writing boilerplate code, or suggesting improvements. Codex can also explain what specific code does and provide inline documentation, which enhances developer productivity.
* Option A (GPT-4): While some newer versions of GitHub Copilot (Copilot X) may integrate GPT-4 for conversational explanations, the core code completion engine remains based on Codex, as per the AI-
900-level content.
* Option C (DALL-E): Used for image generation, not for programming tasks.
* Option D (GPT-3): Codex was fine-tuned from GPT-3 but has been further trained specifically for code generation tasks.
Therefore, the verified and official answer from Microsoft's AI-900 curriculum is B. Codex - the OpenAI model used by GitHub Copilot to make suggestions for client-side JavaScript and other programming languages.


NEW QUESTION # 289
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/getting-started-build-a-classifier


NEW QUESTION # 290
You have an app that identifies birds in images. The app performs the following tasks:
* Identifies the location of the birds in the image
* Identifies the species of the birds in the image
Which type of computer vision does each task use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:


NEW QUESTION # 291
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