IBM C1000-136 - IBM Cloud Pak for Data v4.x Solution Architecture
- Exam Code: C1000-136
- Exam Name: IBM Cloud Pak for Data v4.x Solution Architecture
- Updated: Aug 13, 2026
- Q & A: 65 Questions and Answers
Go to the IBM Cloud Pak for Data v4.x Solution Architecture website and click on the “Register” link in the top right corner of the page.
A registration form will appear, fill in all fields and choose a username and password that you'll use to access your account when you are logged into IBM Cloud Pak for Data v4.x Solution Architecture, then click “Sign Up” button.
You will be taken to a page where you can create an account or log into an existing one if you have one created before. If you have not yet created an account, click “Create Account” button and follow the instructions on screen to create one for yourself.
Reference: https://www.ibm.com/training/certification/C0004601
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Build Data Science Algorithms | 14% | - Differences between traditional programming and machine learning - Collect, explore, and prepare data for ML/AI algorithms - Build and deploy ML/AI algorithms in Cloud Pak for Data - Map business opportunities into a Data Science use case - Process and tools in Cloud Pak for Data to build, deploy, and monitor ML/AI algorithms |
| Topic 2: Analytics | 17% | - Capabilities of AI for financial operations in Cloud Pak for Data - Capabilities of business intelligence in Cloud Pak for Data - Map business opportunities into an Analytics use case - Difference between Descriptive, Prescriptive, Predictive, Diagnostic, and Cognitive Analytics |
| Topic 3: Data Governance | 22% | - Leverage the platform to understand data flow and usage - Use smart ingestion for auto cataloging - Understand how workflow is used in Cloud Pak for Data - Explain the use of Guardium in auditing and monitoring data - Define the Governance structure - Map business opportunities into a data governance use case - Capabilities of a data fabric topology - Explain the concepts of Knowledge Accelerators |
| Topic 4: 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 5: Integration, Implementation, Deployment, and Scaling | 10% | - Develop a strategy to monitor the Data and AI platform - Develop process to take a Data and AI solution from inception to production - Accelerate the solution using Industry Accelerators and External Data sets - Integrate Business Applications using Cloud Pak for Data |
| Topic 6: Machine Learning Operations | 16% | - Workflow of deploying and monitoring models - Manage risk and regulatory compliance using OpenPages - Monitor machine learning models running on an external platform - Key considerations when selecting a platform for model deployment - Monitor deployed models inside Cloud Pak for Data |
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