C1000-185 Exam Dumps
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| Certification Provider: | IBM |
|---|---|
| Exam Code / Number: | C1000-185 |
| Exam Name: | IBM watsonx Generative AI Engineer - Associate |
| Exam Questions: | 380 |
| Last Updated: | Jun 26, 2026 |
| Corresponding Certification: | IBM Certified watsonx Generative AI Engineer - Associate |
(180 Up Votes)IBM C1000-185 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Integration and Orchestration | 8% | - Integration with external services - Workflow orchestration with LangChain - API and SDK usage |
| Topic 2: Deployment and Operationalization | 13% | - Deployment planning and architecture - Model and prompt deployment - Versioning and lifecycle management - Monitoring and performance optimization |
| Topic 3: Analyze and Design a Generative AI Solution | 15% | - Use case analysis and requirements definition - Generative AI and LLM capabilities - Evaluation metrics and success criteria - Model architecture and selection criteria |
| Topic 4: Prompt Engineering | 16% | - Prompt design and template creation - Prompting techniques: zero-shot, few-shot, chain-of-thought - Prompt Lab usage and best practices - Model parameters and hyperparameter tuning - Prompt optimization and cost reduction |
| Topic 5: Model Customization and Fine-Tuning | 31% | - Fine-tuning concepts and approaches - Data preparation and dataset creation - Synthetic data generation - Customization with InstructLab - Parameter-Efficient Fine-Tuning (PEFT), LoRA - Model quantization and optimization |
| Topic 6: Retrieval-Augmented Generation (RAG) | 17% | - Vector databases and similarity search - Integration with watsonx.data - RAG architecture and implementation - Embedding models and vector representations |