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Microsoft Power Platform Solutions Architect's Handbook

Microsoft Power Platform Solutions Architect's Handbook - Second Edition

By : Hugo Herrera
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Microsoft Power Platform Solutions Architect's Handbook

Microsoft Power Platform Solutions Architect's Handbook

By: Hugo Herrera

Overview of this book

Struggling to architect secure, scalable Power Platform solutions that keep up with AI and enterprise demands? Microsoft Power Platform Solutions Architect's Handbook is your expert guide to building intelligent, future-ready applications with Microsoft's low-code platform. This updated second edition brings you the latest on Copilot, Azure OpenAI, AI Builder, and Power Platform AI patterns. Through a hands-on enterprise case study, you'll work through every stage of solution architecture, from requirements analysis and envisioning to secure data modeling, integration, governance, and DevOps implementation. You'll tackle real-world challenges such as licensing constraints, ALM pipeline design, multi-cloud integration, and establishing a Center of Excellence. A refreshed PL-600 certification prep chapter with current questions and exam tips will help you gear up for the exam. By the end of this book, you'll have the mindset, tools, and strategies to design scalable, AI-enhanced Power Platform solutions while using the latest in LLM and GPT technologies. Whether modernizing legacy systems or architecting cloud-native applications, this book equips you to lead digital transformation initiatives with enterprise-grade excellence.
Table of Contents (28 chapters)
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1
Part 1:Introduction
4
Part 2: Requirements Analysis, Solution Envisioning, and the Implementation Roadmap
10
Part 3: Architecting the Power Platform Solution
15
Part 4: Harnessing the Power of Artificial Intelligence
18
Part 5: Implementing Solid Power Platform Solutions
24
Part 6: Power Platform Solution Architect Certification Prep

Resolving integration conflicts

Solutions architects review the designs and implementation of Power Platform integrations to identify areas where there may be a conflict between them or other business processes. The actions and domain for each integration are reviewed individually and in combination with different integrations to identify potential clashes.

Identifying integration conflicts

A typical example of an integration conflict is enriching contact data from two different sources:

  • One integration may be responsible for updating a contact’s address and contact details
  • A second integration may also update contact details, overwriting the first integration’s data

The result is a Dataverse contact with data in an inconsistent state.

The following steps will help you identify and resolve integration conflicts:

  1. Review the integration designs to identify which interfaces interact with the affected data item.
  2. Review the actual implementation...
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