Learn Path https://www.ibm.com/training/journey_description?journeyId=45
The IBM Cloud Pak for Data Associate Solution Architect is a person who can design, plan and architect a Cloud Solution. They can do this with limited assistance from support, documentation, and/or relevant subject matter experts.
Key areas of competency include:
Key areas of competency include:
- Demonstrate knowledge of Cloud Pak for Data concepts and architectural principles
- Ability to evaluate customers current state and then architect a Cloud Pak for Data solution
- Provide solution recommendations based on current industry best practices
During exam development, the Subject Matter Experts (SMEs) define all the tasks, knowledge and experience that an individual would need in order to successfully fulfill their role with the product or solution. These are represented by the objectives below and the questions on the certification exam are based upon these objectives.
1 Platform Modernization 30%
- Design and implement a solution for Cloud Pak for Data
- List the features of Cloud Pak for Data as a platform
- Describe the value proposition of Cloud Pak for Data (ease-of-use)
- Identify security considerations for Cloud Pak for Data
- Compare and contrast Physical Architecture in Cloud Pak for Data
- Distinguish sizing considerations for Cloud Pak for Data
- Describe the licensing models for Cloud Pak for Data
2 Collect 16%
- List and define the appropriate services for Data-Modernization Patterns
- Connect hybrid data-sources across the enterprise
- Integrate hybrid data-sources across the enterprise
- Design a data-virtualization topology (Data Virtualization vs ETL)
- Describe the benefits of using data-virtualization
- Describe the various data access methodologies
3 Organize 18%
- List and define the appropriate services for Data-Governance Patterns
- Identify different data governance techniques
- Describe the key features of a catalog
- Describe how to prepare self-service data for the business analyst
- Leverage the community capabilities for knowledge catalogs
- Describe the regulatory capabilities of Cloud Pak for Data
- Discuss the purpose of the Industry Accelerators
- Identify governance options for analytics projects assets
4 Analyze 20%
- List and define the appropriate services for Data-Science Pattern
- Classify use-cases as descriptive, predictive, and prescriptive
- Choose the appropriate framework and tools for analyst skill sets
- Describe the difference between open-source framework vs open-source tools
- List the advantages of using open-source tools in Cloud Pak for Data
- Describe the deployment options of data-science assets
- Describe how model-ops/ML-ops can be implemented in Cloud Pak for Data
5 Infuse 16%
- Describe industry solutions in Cloud Pak for Data
- Describe the capabilities of AI for financial operations in Cloud Pak for Data
- Describe the capabilities of business intelligence (Cognos Analytics) in Cloud Pak for Data
- Identify the key Watson capabilities (assistant, discovery, speech APIs) in Cloud Pak for Data
- Compare the major forms of AI solutions and their applicability to common business issues