~/azure-ai-103 · Implement generative AI and agentic solutions ▊
← Microsoft Certified: Azure AI Apps and Agents Developer Associate
AZURE · objective · 33% of the exam
Implement generative AI and agentic solutions — Microsoft Certified: Azure AI Apps and Agents Developer Associate
The official AZURE documentation our Implement generative AI and agentic solutions practice questions are cited to. Review the primary sources, then practise.
Official references for this objective
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Microsoft — Evaluation metrics | Microsoft Learn
The BLEU (bilingual evaluation understudy) score evaluates the quality of machine-translated text from one natural language to another.
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Microsoft — Security planning for LLM-based applications | Microsoft Learn
Reduce the number of extensions to minimum necessary. Limit the functions of an extension to only required functionality. Do not design or code open-ended extensions.
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Microsoft — Safeguarding LLM security & safety evaluations | Microsoft Learn
Required RBAC role for managed identity or service principal in pipeline granted: Cognitive Services OpenAI User
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Microsoft — Generative AI | Microsoft Learn
Examples of Microsoft’s Generative AI and ML lifecycle managed services include Azure AI Search, Azure OpenAI Service and Azure ML Service.