1. Introduction to Power Platform Solution Architecture

1.1 Overview of Power Platform Components(Ref: Microsoft Certified: Power Platform Developer Associate (PL-400))
1.2 Role of a Solution Architect
1.3 Understanding Business Requirements
1.4 Governance, Security, and Compliance Considerations

2. Designing a Power Platform Solution

2.1 Aligning Solutions with Business Objectives
2.2 Evaluating Requirements and Identifying Gaps
2.3 Selecting the Right Power Platform Components
2.4 Planning for Scalability and Performance

3. Data Modeling and Management

3.1 Understanding Dataverse and Its Role
3.2 Designing Data Models and Entities
3.3 Implementing Data Relationships and Business Rules
3.4 Managing Data Security and Compliance

4. Integrating Power Platform with External Systems

4.1 Connecting to Microsoft 365, Azure, and Dynamics 365
4.2 Integrating Third-Party and Legacy Systems
4.3 Using Power Automate for Workflow Automation
4.4 API and Custom Connector Development

5. Implementing Security and Compliance

5.1 Managing User Roles and Access Control
5.2 Implementing Data Loss Prevention (DLP) Policies
5.3 Ensuring Regulatory Compliance (GDPR, HIPAA, etc.)
5.4 Monitoring and Auditing Security Practices

6. Power Apps Architecture and Best Practices

6.1 Model-Driven vs. Canvas Apps: Choosing the Right Approach
6.2 Designing Scalable and Maintainable Applications
6.3 Implementing Reusable Components and Custom Controls
6.4 Performance Optimization and Troubleshooting

7. Power Automate: Advanced Workflow Automation

7.1 Designing Complex Automations and Business Processes
7.2 Using AI Builder for Intelligent Workflows
7.3 Managing Flow Performance and Troubleshooting Errors
7.4 Best Practices for Enterprise Automation

8. Power BI and Analytics Strategy

8.1 Designing a Data Strategy for Business Intelligence
8.2 Creating Interactive Dashboards and Reports
8.3 Embedding Power BI into Power Apps and Dynamics 365
8.4 Optimizing Data Refresh and Performance

9. AI and Chatbot Solutions with Power Virtual Agents

9.1 Designing Conversational AI Solutions
9.2 Integrating Power Virtual Agents with Other Services
9.3 Implementing Intelligent Chatbots for Customer Engagement
9.4 Best Practices for Bot Optimization and User Experience

10. Deployment, Maintenance, and Governance

10.1 Application Lifecycle Management (ALM) Best Practices
10.2 Managing Solution Deployments with DevOps
10.3 Monitoring and Maintaining Power Platform Solutions
10.4 Continuous Improvement and Innovation Strategies

11. Preparing for the PL-600 Exam

11.1 Exam Structure and Key Topics
11.2 Study Resources and Practice Tests
11.3 Time Management and Test-Taking Strategies
11.4 Final Review and Next Steps in Power Platform Architecture