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Reference: https://www.ibm.com/training/certification/C0004601
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IBM C1000-136 Exam Topics
Analystics 17%
Machine learning Operations 16%
Build Data Science algorithms 14%
Data Governance 22%
Integration, Implementation, Deployment, and Scaling 10%
Cloud Pak for Data Artechitecure 21%
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IBM C1000-136 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Services and Integration | 26% | - Data virtualization and connectivity - Storage options and data lifecycle management - Data ingestion, transformation, and integration |
| Topic 2: Data Governance and Platform Management | 22% | - High availability and disaster recovery - Platform monitoring, logging, and maintenance - Policy enforcement and access control - Data cataloging and metadata management |
| Topic 3: AI and Analytics Implementation | 24% | - Data preparation and model development - Model deployment, monitoring, and governance - Machine learning workflow and tooling - Business intelligence and analytics solutions |
| Topic 4: Cloud Pak for Data Architecture and Planning | 28% | - Reference architecture and components - Security, authentication, and data protection - Deployment options and infrastructure requirements - Sizing, scalability, and reliability design |






