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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.

What is the duration, language, and format of AI-102: Designing and Implementing an Azure AI Solution Exam

• Language: English, Japanese, Chinese (Simplified), Korean.
• Length of Examination: 50 mins
• Passing Score: 700 / 1000
• This is beta exam.
• Type of Questions: This test format is multiple choice.
• Number of Questions: 40 to 60 questions(Since Microsoft does not publish this information, the number of exam questions may change without notice.)

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

How to study the AI-102: Designing and Implementing an Azure AI Solution Exam

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Exam 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, Azure Cognitive Search, and Microsoft Bot Framework.

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

They work with solution architects to translate their vision and with data scientists, data engineers, IoT specialists, and AI developers to build complete end-to-end AI solutions.

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.

They should also understand the components that make up the Azure AI portfolio and the available data storage options. Plus, candidates need to understand and be able to apply responsible AI principles.

Part of the requirements for: Microsoft Certified: Azure AI Engineer Associate

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