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1. Analyze solution requirements (25-30%)
Recommend Cognitive Services APIs to meet business requirements
Map security requirements to tools, technologies, and processes
Select the software, services, and storage required to support a solution
2. Design AI solutions (40-45%)
Design solutions that include one or more pipelines
Design solutions that uses Cognitive Services
Design solutions that implement the Bot Framework
Design the compute infrastructure to support a solution
Design for data governance, compliance, integrity, and security
3. Implement and monitor AI solutions (25-30%)
Implement an AI workflow
Integrate AI services with solution components
Monitor and evaluate the AI environment
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Candidates for AI-102 Exam are seeking to prove fundamental knowledge and skills in Designing and Implementing an Azure AI Solution domain. Before taking this exam, aspirants ought to have a solid fundamental information of the concepts shared in preparation guide as well as basic understanding of Azure administration, Azure development, and DevOpss would give an added edge.
This exam validates the ability to use the various services within the Microsoft Azure Artificial Intelligence (AI) portfolio.
It is suggested that professionals accustomed to the ideas and also the technologies represented here by taking relevant training courses. Candidates are expected to have some hands-on experience on bot services that use Language Understanding , bots with Azure Application Insights, creating a GPU, FPGA, or CPU-based solution, implementing AI workflow.
After passing this exam, candidates get a certificate from Microsoft that helps them to demonstrate their proficiency to their clients and employers.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102
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