Purchase IBM : C1000-136 Exam Materials and then pass exam easily
Last Updated: Aug 15, 2026
No. of Questions: 65 Questions & Answers with Testing Engine
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Reference: https://www.ibm.com/training/certification/C0004601
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Learn about the IBM C1000-136 Exam
IBM Cloud Pak for Data v4.x Solution Architecture is an exam for IT professionals who are required to update their knowledge in the field of IBM Cloud Pak for Data v4.x Solution Architecture and work with it.
IBM Cloud Pak for Data v4.x Solution Architecture Exam consists of multiple-choice questions and True/False questions. You need at least 60% marks or above to pass this exam and get the certificate, along with 100% passing rate guarantee from certification Questions Test Prep, which is an expert in developing and publishing full-scale exams for all types of certification exams, including IT certification exams such as IBM Cloud Pak for Data v4.x Solution Architecture Certification Exam Study Guide: Learning Paths, Practice Questions, and Exam Tips. IBM C1000-136 exam dumps are designed by our experts and tested by our team of experts, so you can rest assured that you are getting the best preparation materials for the IBM C1000-136 exam.
IBM C1000-136 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Governance | 22% | - Use smart ingestion for auto cataloging - Capabilities of a data fabric topology - Map business opportunities into a data governance use case - Explain the concepts of Knowledge Accelerators - Understand how workflow is used in Cloud Pak for Data - Leverage the platform to understand data flow and usage - Explain the use of Guardium in auditing and monitoring data - Define the Governance structure |
| Topic 2: 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 3: Build Data Science Algorithms | 14% | - Map business opportunities into a Data Science use case - Collect, explore, and prepare data for ML/AI algorithms - Process and tools in Cloud Pak for Data to build, deploy, and monitor ML/AI algorithms - Differences between traditional programming and machine learning - Build and deploy ML/AI algorithms in Cloud Pak for Data |
| Topic 4: Cloud Pak for Data Architecture | 21% | - Understand the underlying infrastructure and installation - 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 |
| Topic 5: Machine Learning Operations | 16% | - Manage risk and regulatory compliance using OpenPages - Key considerations when selecting a platform for model deployment - Monitor deployed models inside Cloud Pak for Data - Workflow of deploying and monitoring models - Monitor machine learning models running on an external platform |
| Topic 6: Analytics | 17% | - Difference between Descriptive, Prescriptive, Predictive, Diagnostic, and Cognitive Analytics - Capabilities of business intelligence in Cloud Pak for Data - Capabilities of AI for financial operations in Cloud Pak for Data - Map business opportunities into an Analytics use case |
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