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How to study the AI-102: Designing and Implementing an Azure AI Solution Exam
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Microsoft AI-102日本語 Exam Overview:
| Certification Vendor: | Microsoft |
| Exam Name: | Designing and Implementing a Microsoft Azure AI Solution |
| Exam Number: | AI-102 |
| Exam Format: | Multiple-choice, Drag-and-drop, Case studies, Active screen questions |
| Exam Duration: | 120 minutes |
| Exam Price: | $165 USD |
| Related Certifications: | Microsoft Certified: Azure AI Engineer Associate |
| Passing Score: | 700 (on a scale of 1-1000) |
| Real Exam Qty: | 40-60 |
| Certificate Validity Period: | No expiration; certification remains valid unless Microsoft deprecates it |
| Available Languages: | English, Japanese, Chinese (Simplified), Korean |
| Sample Questions: | Microsoft AI-102日本語 Sample Questions |
| Exam Way: | In-person at Pearson VUE testing centers or online proctored exam |
| Pre Condition: | Recommended: Understanding of Azure services, REST APIs, C#, Python, or JavaScript. No mandatory prerequisites, but Azure Administrator or Developer background is beneficial. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/exams/ai-102/ |
For more info read reference:
microsoft learning site AI-102 Skills measured Publish a Machine Learning Experiment with Microsoft Azure Machine Learning Studio Process and translate speech with Azure Cognitive Speech Services
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.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102
Microsoft AI-102日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Implement Generative AI Solutions | 10-15% | - Use Azure OpenAI Service for generative AI - Apply responsible AI practices - Implement prompt engineering techniques - Integrate Azure OpenAI models into applications |
| Implement Decision Support Solutions | 10-15% | - Integrate Azure AI services into applications - Monitor and optimize decision support solutions - Design and implement decision automation |
| Implement Knowledge Mining and Document Intelligence Solutions | 15-20% | - Implement semantic and vector search - Design document processing pipelines - Create custom skills for Azure AI Search - Implement Azure AI Search solutions |
| Implement Computer Vision Solutions | 15-20% | - Implement Azure AI Face service - Analyze images using Azure AI Vision - Implement object detection and image classification - Read and process documents using Azure AI Document Intelligence - Process video and generate insights |
| Plan and Manage an Azure AI Solution | 15-20% | - Select appropriate Azure AI services and technologies - Implement governance and compliance for AI solutions - Plan and configure secure AI solutions - Manage AI costs and resource allocation |
| Implement Natural Language Processing Solutions | 20-25% | - Translate text and speech - Analyze text using Azure AI Language - Implement speech capabilities using Azure AI Speech - Create conversational AI solutions with Azure AI Bot Service - Build question answering solutions |
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