IBM C1000-066日本語 Exam Details & Actual Exam Questions

  • Exam Code/Number: C1000-066日本語
  • Exam Name/Title: IBM Cloud Pak for Data Solution Architect V2.5 (C1000-066日本語版)
  • Certification Provider: IBM
  • Corresponding Certification: IBM Data and AI: Data and AI
  • Exam Questions: 60
  • Updated On: Sep,03 2026
  • Certification Level: Professional

IBM Cloud Pak for Data Solution Architect V2.5 (C1000-066日本語版) Exam Questions

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IBM C1000-066日本語 Exam Overview:

Certification Vendor:IBM
Exam Name:IBM Cloud Pak for Data Solution Architect V2.5
Exam Number:C1000-066
Related Certifications:IBM Certified Solution Architect - Cloud Pak for Data V2.5
Available Languages:English
Exam Price:$200 USD
Exam Format:Multiple Choice
Exam Duration:90 minutes
Real Exam Qty:60
Sample Questions:IBM C1000-066日本語 Sample Questions
Exam Way:Pearson VUE testing center or online proctored exam (historical delivery). Exam status: Withdrawn/Retired and replaced by newer Cloud Pak for Data architect certifications.
Pre Condition:Recommended experience with IBM Cloud Pak for Data, Red Hat OpenShift, data management, analytics, AI, and solution architecture. No mandatory prerequisite exam.
Official Syllabus URL:https://www.ibm.com/training/certification/ibm-certified-solution-architect-cloud-pak-for-data-v25-C0004600

IBM C1000-066日本語 Exam Syllabus Topics:

SectionObjectives
Topic 1: Security and Governance- Data protection
  • 1. Data masking
  • 2. Auditing and compliance
  • 3. IBM Guardium integration
- Identity and access management
  • 1. Authentication
  • 2. Authorization
Topic 2: Cloud Pak for Data Architecture and Planning- Solution design
  • 1. Reference architectures
  • 2. Deployment planning
  • 3. Business requirements analysis
- Cloud Pak for Data platform architecture
  • 1. Core platform components
  • 2. Containerized architecture
  • 3. Red Hat OpenShift integration
Topic 3: Data Management and Integration- Data governance
  • 1. Metadata management
  • 2. Data catalog
  • 3. Data quality
- Data virtualization
  • 1. Data source connectivity
  • 2. Virtualized data access
Topic 4: AI and Analytics Services- Watson Machine Learning
  • 1. Model management
  • 2. Model deployment
- Analytics and visualization
  • 1. Dashboards and reporting
  • 2. Analytics projects
Topic 5: Deployment and Operations- Installation and configuration
  • 1. Service provisioning
  • 2. Infrastructure requirements
- Administration and monitoring
  • 1. Platform management
  • 2. Troubleshooting
  • 3. Performance monitoring


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