IBM C1000-066 Exam Details & Actual Exam Questions

  • Exam Code/Number: C1000-066
  • Exam Name/Title: IBM Cloud Pak for Data Solution Architect V2.5
  • Certification Provider: IBM
  • Corresponding Certification: IBM Data and AI: Data and AI
  • Exam Questions: 60
  • Updated On: Jul,15 2026
  • Certification Level: Professional

IBM Cloud Pak for Data Solution Architect V2.5 Exam Questions

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IBM C1000-066 Exam Overview:

Certification Vendor:IBM
Exam Name:IBM Cloud Pak for Data Solution Architect V2.5
Exam Number:C1000-066
Related Certifications:IBM Cloud Pak for Data Administrator
IBM Data Engineer
IBM AI Engineer
Exam Format:Multiple choice, Multiple response
Available Languages:English
Passing Score:Approximately 60–65% (IBM passing scores vary by exam version)
Exam Duration:90 minutes
Certificate Validity Period:3 years
Exam Price:USD 200 (may vary by region and tax)
Real Exam Qty:Approximately 60–65 questions
Sample Questions:IBM C1000-066 Sample Questions
Exam Way:Online proctored or test center (Pearson VUE)
Pre Condition:No mandatory prerequisites, but recommended knowledge of IBM Cloud Pak for Data and data architecture concepts
Official Syllabus URL:https://www.ibm.com/certify

IBM C1000-066 Exam Syllabus Topics:

SectionObjectives
Data Integration and Data Management- Data ingestion and transformation
  • 1. Data virtualization concepts
    • 2. ETL/ELT pipelines in CP4D
      Data Governance and Security- Governance implementation
      • 1. Data catalogs and metadata management
        • 2. Access control and compliance policies
          AI and Analytics Integration- Machine learning and AI services
          • 1. Model lifecycle and deployment
            • 2. Watson integration in CP4D
              Cloud Pak for Data Architecture Overview- Core components and platform architecture
              • 1. CP4D services and runtime environment
                • 2. Data fabric and unified data platform concepts
                  Deployment and Infrastructure- Installation and configuration
                  • 1. Scaling and resource management
                    • 2. Red Hat OpenShift deployment model


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