• Exam Code: AI-102
  • Exam Name: Designing and Implementing a Microsoft Azure AI Solution (AI-102 Korean Version)
  • Certification Provider: Microsoft
  • Corresponding Certification:Azure AI Engineer Associate
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How to book the AI-102: Designing and Implementing an Azure AI Solution Exam

These are following steps for registering the AI-102: Designing and Implementing an Azure AI Solution exam.

  • Step 1: Visit to Microsoft Learning and search for AI-102: Developing Solutions for Microsoft Azure.
  • Step 2: Sign up/Login to Pearson VUE account
  • Step 3: Select local centre based on your country, date, time and confirm with a payment method.

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How to Prepare For AI-102: Designing and Implementing an Azure AI Solution Exam

Preparation Guide for AI-102: Designing and Implementing an Azure AI Solution Exam

Introduction

Microsoft has created a track for Azure professionals analyze the requirements for AI solutions, recommend appropriate tools and technologies, and implements solutions that meet scalability and performance requirements, to get certified this platform. solution architects translate the vision and work with data scientists, data engineers, IoT specialists, and AI developers to build complete end-to-end solutions. The assessment is based on a rigorous exam using industry standard methodology to determine whether a candidate meets Microsoft's proficiency standards.

This certification been actually designed for aspirants design and implement AI apps and agents that use Microsoft Azure Cognitive Services.

For this exam candidate having proficiency in using cognitive service APIs to meet business requirements, appropriate AI models and services, automation requirements, data privacy and protection , bot state data , cognitive service output would be an added advantage.

Certification is evidence of your skills, expertise in those areas in which you like to work. If candidate wants to work as AI solution architect and prove his knowledge, certification offered by Microsoft. This AI-102 Exam Certification helps a candidate to validates his skills in Azure platform.

In this guide, we will cover the AI-102: Designing and Implementing an Azure AI Solution Certification exam, AI-102: Designing and Implementing an Azure AI Solution Certified professional salary and all aspects of the AI-102: Designing and Implementing an Azure AI Solution Certification.

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Designing and Implementing a Microsoft Azure AI Solution Exam Certification Details:

Sample QuestionsDesigning and Implementing a Microsoft Azure AI Solution Sample Questions
Duration130 mins
Exam Price$165 (USD)
Books / TrainingCourse AI-102T00: Designing and Implementing a Microsoft Azure AI Solution
Number of Questions40-60
Passing Score700 / 1000
Exam NameMicrosoft Certified - Azure AI Engineer Associate
Schedule ExamPearson VUE
Exam CodeAI-102

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Microsoft AI-102 Korean Exam Syllabus Topics:

TopicDetails
Topic 1
  • Implement natural language processing solutions: This domain involves text and speech processing, including sentiment analysis, translation, speech-to-text and text-to-speech implementation, building language understanding models, and creating question answering systems.
Topic 2
  • Implement an agentic solution: This domain covers creating autonomous AI agents using Microsoft Foundry Agent Service and Framework, implementing multi-agent workflows, and testing and deploying intelligent agents.
Topic 3
  • Implement knowledge mining and information extraction solutions: This domain covers extracting structured data from unstructured sources using Azure AI Search, Document Intelligence for form processing, and Content Understanding for OCR and document analysis.
Topic 4
  • Implement computer vision solutions: This domain addresses image and video analysis using Azure Vision services, including object detection, text extraction, training custom vision models, and extracting insights from video streams.
Topic 5
  • Implement generative AI solutions: This domain focuses on building solutions with Microsoft Foundry and Azure OpenAI, including deploying models, implementing prompt flows and RAG patterns, generating content, and optimizing through parameter tuning and prompt engineering.

Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102

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