Updated: Sep 15, 2026
No. of Questions: 65 Questions & Answers with Testing Engine
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The IBM Cloud Pak for Data v4.x Solution Architecture certification helps you to understand the key features of the IBM Cloud Pak for Data v4.x solution architecture. With this certification, you will be able to understand how the solution architecture works and what are its key components.
The IBM Cloud Pak for Data v4.x solution is a complete data lake that provides a single source of truth for all analytics applications and data. It is designed to meet the needs of business users who want to run their own analytics or use pre-built analytic tools within their own environments, whether they're on premises or in the cloud. IBM C1000-136 exam dumps can also be used by students who want to enter the IT industry.
Reference: https://www.ibm.com/training/certification/C0004601
| Certification Vendor: | IBM |
|---|---|
| Exam Name: | IBM Cloud Pak for Data v4.x Solution Architecture |
| Exam Number: | C1000-136 |
| Exam Price: | USD 200 (approx.) |
| Real Exam Qty: | 63 |
| Related Certifications: | IBM Certified Solution Architect - Cloud Pak for Data v4.x |
| Available Languages: | English |
| Exam Duration: | 90 minutes |
| Passing Score: | 42 out of 63 |
| Exam Format: | Multiple response, Multiple choice, Case studies |
| Sample Questions: | IBM C1000-136 Sample Questions |
| Exam Way: | Onsite at Pearson VUE or Online proctored exam |
| Pre Condition: | No specific prerequisite exam listed; relevant hands-on experience recommended |
| Official Syllabus URL: | https://www.ibm.com/training/certification/ibm-certified-solution-architect-cloud-pak-for-data-v4x-C0004601 |
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Cloud Pak for Data Architecture | 21% | - Understand Cloud Pak for Data reliability options - Secure the solution and client data - Understand Cloud Pak for Data reference architecture - Understand sizing and deployment options - Understand the underlying infrastructure and installation |
| Topic 2: Machine Learning Operations | 16% | - Workflow of deploying and monitoring models - Key considerations when selecting a platform for model deployment - Monitor deployed models inside Cloud Pak for Data - Manage risk and regulatory compliance using OpenPages - Monitor machine learning models running on an external platform |
| 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 concepts of Knowledge Accelerators - Capabilities of a data fabric topology - Define the Governance structure - Explain the use of Guardium in auditing and monitoring data - Map business opportunities into a data governance use case |
| Topic 4: Integration, Implementation, Deployment, and Scaling | 10% | - Develop process to take a Data and AI solution from inception to production - Develop a strategy to monitor the Data and AI platform - Integrate Business Applications using Cloud Pak for Data - Accelerate the solution using Industry Accelerators and External Data sets |
| Topic 5: Analytics | 17% | - Capabilities of business intelligence in Cloud Pak for Data - Map business opportunities into an Analytics use case - Capabilities of AI for financial operations in Cloud Pak for Data - Difference between Descriptive, Prescriptive, Predictive, Diagnostic, and Cognitive Analytics |
| Topic 6: Build Data Science Algorithms | 14% | - Map business opportunities into a Data Science use case - Build and deploy ML/AI algorithms in Cloud Pak for Data - Process and tools in Cloud Pak for Data to build, deploy, and monitor ML/AI algorithms - Collect, explore, and prepare data for ML/AI algorithms - Differences between traditional programming and machine learning |
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