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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.
For candidates that are aiming to develop their skills in building, operating, and deploying AI solutions with the help of such services as Azure Applied AI services and Azure Cognitive Services, the best variant is to pass the Microsoft AI-102 exam. This exam is all about designing and applying a Microsoft Azure AI Solution, and leads to getting the Microsoft Certified: Azure AI Engineer Associate certification.
Passing this exam implies that certified candidates are able to participate in all stages of AI solutions development from defining requirements to performance tuning and monitoring. These professionals cooperate with solution architects, as well as with data engineers and scientists, AI developers to show their vision and create comprehensive AI solutions.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102
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AI-102: Designing and Implementing an Azure AI Solution is a privileged achievement one could be graced with. But adverse to general notion certifying with Microsoft is not that challenging if the candidates have proper preparation material to pass the AI-102: Designing and Implementing an Azure AI Solution exam with good grades. Questions answers and clarifications which are designed in form of TestInsides exam dumps make sure to cover entire course content. TestInsides have a brilliant AI-102: Designing and Implementing an Azure AI Solution exam dumps with most recent and important questions and answers in PDF files. TestInsides is sure about the exactness and legitimacy of AI-102: Designing and Implementing an Azure AI Solution exam dumps and in this manner. Candidates can easily pass the AI-102: Designing and Implementing an Azure AI Solution exam with genuine AI-102: Designing and Implementing an Azure AI Solution exam dumps and get MICROSOFT certification. These exam dumps are viewed as the best source to understand the AI-102: Designing and Implementing an Azure AI Solution well by simply pursuing examples questions and answers. If candidate completes practice the exam with certification AI-102 exam dumps along with self-assessment to get the proper idea on MICROSOFT accreditation and to ace the certification exam.
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Exam Details
Speaking of the exam details, the test will contain from 40 to 60 questions of various types which you need to complete within 100 or 120 minutes (depends on the inclusion of labs). To pass the exam you need to schedule the test on the PearsonVUE platform, pay an exam fee which is currently $165, and score at least 700 points or more out of 1000. And, of course, the knowledge of exam topics is a must.
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Microsoft AI-102 Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement knowledge mining and information extraction solutions | 15-20% | - Build knowledge bases and search indexes - Ingest and process structured/unstructured data - Extract entities, relationships, and key phrases - Implement intelligent search and retrieval |
| Topic 2: Implement natural language processing solutions | 15-20% | - Customize and deploy NLP models - Perform text analysis, sentiment detection, and language detection - Build conversational AI and chatbots - Implement translation and summarization |
| Topic 3: Implement computer vision solutions | 10-15% | - Integrate vision capabilities into applications - Build and deploy custom vision models - Extract text and handwriting from images - Analyze images and detect objects/features - Process and index video content |
| Topic 4: Implement generative AI solutions | 15-20% | - Orchestrate multiple models and containers - Apply prompt engineering and fine-tuning - Deploy and manage generative models - Implement model monitoring and feedback - Integrate Azure OpenAI and other generative models |
| Topic 5: Plan and manage an Azure AI solution | 20-25% | - Monitor, optimize, and secure AI solutions - Choose services for generative AI, computer vision, NLP, speech, information extraction, knowledge mining - Plan solutions aligned with responsible AI principles - Create and configure Azure AI resources - Select suitable AI models - Select appropriate Microsoft Foundry Services |
| Topic 6: Implement an agentic solution | 5-10% | - Build agents with Microsoft Foundry Agent Service - Develop multi-agent workflows and orchestration - Understand agent use cases and types - Test, deploy, and optimize agents |
