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IBM C1000-136 Exam
Reference: https://www.ibm.com/training/certification/C0004601
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IBM C1000-136 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Topic 1: Machine Learning Operations | 16% | - Monitor machine learning models running on an external platform
- Key considerations when selecting a platform for model deployment
- Manage risk and regulatory compliance using OpenPages
- Monitor deployed models inside Cloud Pak for Data
- Workflow of deploying and monitoring models
|
| Topic 2: Cloud Pak for Data Architecture | 21% | - Understand the underlying infrastructure and installation
- Understand sizing and deployment options
- Secure the solution and client data
- Understand Cloud Pak for Data reference architecture
- Understand Cloud Pak for Data reliability options
|
| Topic 3: Build Data Science Algorithms | 14% | - Process and tools in Cloud Pak for Data to build, deploy, and monitor ML/AI algorithms
- Build and deploy ML/AI algorithms in Cloud Pak for Data
- Collect, explore, and prepare data for ML/AI algorithms
- Map business opportunities into a Data Science use case
- Differences between traditional programming and machine learning
|
| Topic 4: Analytics | 17% | - Map business opportunities into an Analytics use case
- Difference between Descriptive, Prescriptive, Predictive, Diagnostic, and Cognitive Analytics
- Capabilities of AI for financial operations in Cloud Pak for Data
- Capabilities of business intelligence in Cloud Pak for Data
|
| Topic 5: Integration, Implementation, Deployment, and Scaling | 10% | - Accelerate the solution using Industry Accelerators and External Data sets
- Develop a strategy to monitor the Data and AI platform
- Develop process to take a Data and AI solution from inception to production
- Integrate Business Applications using Cloud Pak for Data
|
| Topic 6: Data Governance | 22% | - Leverage the platform to understand data flow and usage
- Capabilities of a data fabric topology
- Explain the concepts of Knowledge Accelerators
- Map business opportunities into a data governance use case
- Define the Governance structure
- Understand how workflow is used in Cloud Pak for Data
- Explain the use of Guardium in auditing and monitoring data
- Use smart ingestion for auto cataloging
|