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IBM C1000-136 exam is a certification exam that focuses on the IBM Cloud Pak for Data v4.x Solution Architecture. C1000-136 exam is designed for IT professionals who want to demonstrate their knowledge and skills in designing, deploying, and managing IBM Cloud Pak for Data solutions. C1000-136 exam covers various topics such as architecture, deployment, security, data management, and analytics.
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IBM C1000-136 (IBM Cloud Pak for Data v4.x Solution Architecture) certification exam is a valuable credential for technical professionals who want to prove their expertise in designing, architecting, and implementing IBM Cloud Pak for Data solutions. IBM Cloud Pak for Data v4.x Solution Architecture certification validates the candidate's technical skills and knowledge and can help them stand out in the job market. With the increasing demand for data and AI solutions, earning the IBM C1000-136 certification can open up new career opportunities for professionals.
Reference: https://www.ibm.com/training/certification/C0004601
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Passing the IBM C1000-136 certification exam demonstrates that an individual has the knowledge and skills required to design and implement IBM Cloud Pak for Data solutions. It also validates their ability to understand the product's features, functions, and benefits and to design and deploy solutions that meet specific business requirements. IBM Cloud Pak for Data v4.x Solution Architecture certification is an excellent way for professionals to showcase their expertise in data management and analytics and to advance their career in this field.
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IBM C1000-136: IBM Cloud Pak for Data v4.x Solution Architecture Exam is designed to test the knowledge and skills of the individuals who are interested in becoming a certified IBM solution architect. C1000-136 exam focuses on evaluating the candidate's expertise in designing and implementing solutions using the IBM Cloud Pak for Data platform. IBM Cloud Pak for Data v4.x Solution Architecture certification is targeted towards individuals who are passionate about data and analytics and want to build a career in this field.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Cloud Pak for Data Architecture and Planning | 28% | - Deployment options and infrastructure requirements - Security, authentication, and data protection - Reference architecture and components - Sizing, scalability, and reliability design |
| 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% | - Machine learning workflow and tooling - Data preparation and model development - Model deployment, monitoring, and governance - Business intelligence and analytics solutions |
| Topic 4: Data Services and Integration | 26% | - Storage options and data lifecycle management - Data ingestion, transformation, and integration - Data virtualization and connectivity |
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