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Instant Download IBM : C1000-136 Questions & Answers as PDF & Test Engine

C1000-136
  • Exam Code: C1000-136
  • Exam Name: IBM Cloud Pak for Data v4.x Solution Architecture
  • Updated: Aug 29, 2026
  • No. of Questions: 65 Questions and Answers
  • Download Limit: Unlimited
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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.

Reference: https://www.ibm.com/training/certification/C0004601

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IBM C1000-136 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Governance and Platform Management22%- High availability and disaster recovery
- Data cataloging and metadata management
- Platform monitoring, logging, and maintenance
- Policy enforcement and access control
Topic 2: Cloud Pak for Data Architecture and Planning28%- Reference architecture and components
- Security, authentication, and data protection
- Sizing, scalability, and reliability design
- Deployment options and infrastructure requirements
Topic 3: Data Services and Integration26%- Data virtualization and connectivity
- Storage options and data lifecycle management
- Data ingestion, transformation, and integration
Topic 4: AI and Analytics Implementation24%- Business intelligence and analytics solutions
- Machine learning workflow and tooling
- Data preparation and model development
- Model deployment, monitoring, and governance

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