C1000-185 Practice Exams and Study Guide
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IBM C1000-185 Exam Specifications
- Exam Code:
- C1000-185
- Exam Name:
- IBM watsonx Generative AI Engineer - Associate
- Provider:
- IBM
- Time:
- 90 min
- Passing Percentage:
- 71%
- Version:
- 6.0
Question Types
- 120 Single Select
120 Questions with Answers
- PDF Printable (Q & A)
- 3 Months
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Real Exam-like Questions and Answers (120 total)
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IBM watsonx Generative AI Engineer - Associate Topics for Real-World Roles
For the IBM watsonx Generative AI Engineer - Associate exam, you’ll design end-to-end enterprise AI solutions, coordinating data ingestion, model selection, orchestration, and scalable deployment with governance and compliance considerations. You’ll also master prompt engineering and template management, tailor foundation models to domain data with safety in mind, integrate AI with enterprise data sources and APIs, implement production-ready CI/CD, monitor health and drift, evaluate impact, collaborate with product teams, and address security and privacy controls.
Role‑Aligned Topics
- Design end-to-end enterprise solutions for generative AI, covering data ingestion, model selection, orchestration, and deployment
- Master prompt engineering and template management to ensure consistent outcomes across applications
- Adapt foundation models to domain data through fine tuning, adapters, or prompt-based techniques with safety in mind
- Integrate AI capabilities with enterprise data sources and APIs for contextual, data-driven responses
- Implement production deployment strategies including scalable infrastructure, version control, and CI/CD for ML pipelines
- Establish governance, risk management, and compliance practices for AI systems
- Monitor model health, performance, and data drift with observability dashboards and alerting
- Conduct rigorous evaluation and experimentation to measure impact and drive iterative improvement
- Collaborate with product and engineering teams to translate business requirements into AI features
- Address security and privacy concerns with data minimization, access controls, and auditing
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