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Reference: https://www.ibm.com/training/certification/C0004601
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To pass the IBM C1000-136 exam, you must have a solid understanding of data science, machine learning, and AI technologies, as well as experience with cloud computing and modern IT architectures. You should also be familiar with IBM Cloud Pak for Data components, such as Watson Studio, Watson Machine Learning, and Data Virtualization. By passing C1000-136 exam, you will demonstrate your expertise in designing and implementing solutions that leverage the full power of the IBM Cloud Pak for Data platform.
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IBM C1000-136 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Cloud Pak for Data Architecture and Planning | 28% | - Deployment options and infrastructure requirements - Sizing, scalability, and reliability design - Reference architecture and components - Security, authentication, and data protection |
| Data Services and Integration | 26% | - Data virtualization and connectivity - Storage options and data lifecycle management - Data ingestion, transformation, and integration |
| AI and Analytics Implementation | 24% | - Model deployment, monitoring, and governance - Data preparation and model development - Machine learning workflow and tooling - Business intelligence and analytics solutions |
| Data Governance and Platform Management | 22% | - Policy enforcement and access control - Platform monitoring, logging, and maintenance - Data cataloging and metadata management - High availability and disaster recovery |





