AI-102 and AI-900 Microsoft Exam Preparation Test Updated

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Last updated on February 21, 2025 5:37 pm

Prepare for the Microsoft AI-102 and AI-900 certification exams with this comprehensive array. Learn to build, manage, and deploy AI solutions using Azure Cognitive Services and Applied AI services. Gain proficiency in C# or Python and utilize REST-based APIs and SDKs for computer vision, natural language processing, knowledge mining, and conversational AI solutions. No technical background required for AI-900. Get ready to demonstrate your knowledge of machine learning and AI concepts on Azure. Ideal for students and professionals preparing for the Microsoft certification exam.

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AI-102 and AI-900 Microsoft Certification Exam Preparation Test (Updated + Explanations + Hotspot + Drag Drop )

AI-102: Designing and Implementing a Microsoft Azure AI Solution :-

Candidates for Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution build, manage, and deploy AI solutions that leverage Azure Cognitive Services and Azure Applied AI services. Candidates for this exam should be proficient in C# or Python and should be able to use REST-based APIs and SDKs to build computer vision, natural language processing, knowledge mining, and conversational AI solutions on Azure.

Their responsibilities include participating in all phases of AI solutions development—from requirements definition and design to development, deployment, maintenance, performance tuning, and monitoring.

AI-102 Exam Skills measured Topics :

  • Plan and manage an Azure Cognitive Services solution

  • Implement Computer Vision solutions

  • Implement natural language processing solutions

  • Implement knowledge mining solutions

  • Implement conversational AI solutions

Exam AI-900: Microsoft Azure AI Fundamentals :-

This exam is an opportunity to demonstrate knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services.

This exam is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience are not required; however, awareness of cloud basics and client-server applications would be beneficial.

AI-900 Exam Skills measured Topics :

  • Describe Artificial Intelligence workloads and considerations

  • Describe fundamental principles of machine learning on Azure

  • Describe features of computer vision workloads on Azure

  • Describe features of Natural Language Processing (NLP) workloads on Azure

Best wishes for your Microsoft AI-102 and AI-900 Certification Exam.

Who this course is for:

  • Students and professionals preparing for the Microsoft certification exam

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