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General information about the IBM C1000-084 Certification Exam:
IBM C1000-084 is an exam that validates your knowledge and skills in IBM Cloud Pak for Data V3.x Associate Architect. This certification is a prerequisite to being able to join the Associate Architect Technical level of the IBM Cloud Solutions Provider program. It helps to demonstrate that you have the knowledge, skills, and abilities to effectively design, deploy and manage a cloud solution based on the IBM Cloud data storage tools, APIs, protocols, and best practices. This applies to all cloud platforms from IBM Power Systems-based clouds to IBM SoftLayer, including Big Iron systems running AIX, Linux, or Windows operating systems. C1000-084 exam dumps are designed to help you pass this exam, so don't waste your time with any other materials.
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Which are the prerequisites to take the C1000-084 exam?
The following are the prerequisites for the IBM C1000-084 exam:
- Experience with the IBM Watson cognitive platform is desirable but not required for this exam.
- A college degree in computer science, information technology, or related curriculum.
- IBM Cloud Solution Provider, IBM C1000-084 certification, or IBM Cloud Platform Technology V3.x Associate Architect.
- Demonstrated ability to design solutions that meet customer requirements for cloud data storage using IBM Cloud solutions tools and APIs.
- Experience with Big Blue's Power Systems products is desired but not required for this exam.
- Demonstrated ability to solve problems and implement practical, cost-effective solutions using the latest technologies for cloud data storage occurring within an organization's overall business objectives.
- Project experience in a data storage administration role.
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IBM C1000-084 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Collect | 16% | - Data ingestion and connectivity - Data source integration and access |
| Topic 2: Analyze | 20% | - Visualization and reporting - Data processing and transformation - Analytics and machine learning services |
| Topic 3: Organize | 18% | - Data governance and cataloging - Security, access control, and data protection - Metadata management and data quality |
| Topic 4: Infuse | 16% | - Operationalization and integration - AI and model deployment - Monitoring and lifecycle management |
| Topic 5: Platform Modernization | 30% | - Architecture and components of Cloud Pak for Data V3.x - Deployment models and installation planning - Infrastructure and platform integration |
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