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SKU/Artículo: AMZ-B0H45W813M
AI-103 EXAM PREP 2026-2027
Format:
Paperback
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Disponibilidad:
En stock
En stock
Peso con empaque:
1.17 kg
1.17 kg
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Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
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USA
USA
Sobre este producto
- Preparing for the Microsoft Azure AI Engineer (AI-103) certification requires more than simply memorizing concepts—it demands the ability to apply Azure AI services to real-world business scenarios. This comprehensive study guide is designed to help candidates build that practical understanding through detailed coverage of every major exam domain, including Azure AI resource planning, generative AI applications, retrieval-augmented generation (RAG), AI agents, computer vision, text analytics, document intelligence, security, governance, monitoring, and production optimization. Featuring 900 carefully structured practice questions, 150 full-length mock exam questions, detailed answer explanations, and a focused 5-week study plan, this book provides a complete roadmap to certification readiness. What sets this guide apart is its strong emphasis on scenario-based learning and exam-style decision-making. Rather than focusing solely on definitions and theory, the questions challenge readers to think like Azure AI Engineers by evaluating architectures, troubleshooting deployments, optimizing costs, securing AI resources, and implementing responsive AI practices. By the end of this book, readers will not only be prepared for the AI-103 examination but will also possess practical knowledge that can be applied directly to designing, deploying, managing, and optimizing Azure AI solutions in professional environments. optimizing costs, securing AI resources, and implementing responsive AI practices. By the end of this book, readers will not only be prepared for the AI-103 examination but will also possess practical knowledge that can be applied directly to designing, deploying, managing, and optimizing Azure AI solutions in professional environments. optimizing costs, securing AI resources, and implementing responsible AI practices. By the end of this book, readers will not only be prepared for the AI-103 examination but will also possess practical knowledge that can be applied directly to designing, deploying, managing, and optimizing Azure AI solutions in professional environments.
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