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You need to know the basics of Data v4.x Solution Architecture
IBM Cloud Pak for Data v4.x Solution Architecture is a fully integrated software package that combines the IBM Cloud platform and IBM Analytics solutions. It is designed to help you manage your data throughout its lifecycle, from collection to analysis and analytics, in an agile manner.
The solution architecture provides a comprehensive view of your data through a single pane of glass, enabling you to view all aspects of your data as well as perform analytics on it in real time. The solution architecture also enables you to gain insights into what matters most by identifying patterns within your data that can be used to improve business decisions and operations. IBM C1000-136 exam dumps is designed to provide you with the knowledge you need to pass the IBM C1000-136 exam on the first try.
Reference: https://www.ibm.com/training/certification/C0004601
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The Average salary of different countries for IBM C1000-136 Specialist:
United States - USD 93,000 per year
India - INR 7249489 per year
United Kingdom - Pounds 76070 per year
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IBM C1000-136 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Services and Integration | 26% | - Data virtualization and connectivity - Data ingestion, transformation, and integration - Storage options and data lifecycle management |
| Topic 2: Data Governance and Platform Management | 22% | - Data cataloging and metadata management - Policy enforcement and access control - High availability and disaster recovery - Platform monitoring, logging, and maintenance |
| Topic 3: AI and Analytics Implementation | 24% | - Model deployment, monitoring, and governance - Machine learning workflow and tooling - Business intelligence and analytics solutions - Data preparation and model development |
| Topic 4: Cloud Pak for Data Architecture and Planning | 28% | - Security, authentication, and data protection - Reference architecture and components - Deployment options and infrastructure requirements - Sizing, scalability, and reliability design |








