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| Section | Weight | Objectives |
|---|---|---|
| Publish Across Multiple Environments | 8% | - Manage development, staging and production - Preview and share assistants safely - Control versioning and deployment workflows |
| Build Back-End Integrations | 10% | - Implement webhooks and API connections - Integrate with external business systems - Handle errors and manage connectivity |
| Integrate with watsonx | 12% | - Apply generative AI for response generation - Connect to watsonx.ai generative AI models - Implement conversational search using RAG pattern |
| Build Conversational Flows | 20% | - Test, debug and validate dialog behavior - Implement context management and slot filling - Create actions and rich responses - Configure built-in AI capabilities |
| Conversational AI Design | 16% | - Design conversational flows and dialog structure - Define domain, channel, content and integration requirements - Design live agent handoff strategy - Understand use cases and design principles |
| Administration and Governance | 12% | - Monitor performance and usage - Configure compliance and data privacy - Manage access and security settings |
| Multi-Modal Integration | 10% | - Design consistent cross-channel experience - Integrate telephony, SMS and social platforms - Support web, mobile and voice channels |
| Analyze and Improve the Assistant | 12% | - Refine NLU models and improve accuracy - Use analytics and reporting tools - Evaluate intent and entity recognition performance |
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