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Last Updated: Jul 25, 2026

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  • Differentiate between the different contributions remembered for the Watson API Kit (Watson Assistant, Speech to Text, Text to Speech, Watson Explorer, and Watson Knowledge studio)
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  • Summarize the distinction between Event Streams, Db2 Event Store and IBM Streams
  • Review application brings about the investigation dashboard
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  • Understand the characteristic language handling capacities in Cloud Pak forData
  • Select the suitable tool(s) for an answer
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  • Describe choices for information representation and dashboards
  • Understand the accessible improvement conditions for making Streams applications
  • Understand the distinction between dissecting streaming information, or information moving, and breaking down put away/static information

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Reference: https://www.ibm.com/training/certification/C0004600

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How to Prepare For IBM Certified Solution Architect - Cloud Pak for Data V2.5

Preparation Guide for IBM Certified Solution Architect - Cloud Pak for Data V2.5

Introduction for IBM Certified Solution Architect - Cloud Pak for Data V2.5

The IBM Cloud Pak for Data Solution Architect is an individual who can configuration, plan and planner a Cloud Solution. They can do this with restricted help from help, documentation, as well as applicable topic specialists.

Key spaces of competency include:

  • Provide arrangement proposals dependent on current industry best practices
  • Demonstrate information on Cloud Pak for Data ideas and engineering standards
  • Ability to assess clients present status and modeler a Cloud Pak for Data arrangement

The accompanying capabilities are prerequisites for progress:

  • Working information on Data Stores and Data virtualization
  • Working information on Cloud Pak for Data Architecture, cooperation with OpenShift, security, sending choices and fundamental authorizing
  • Basic comprehension of the Cloud Pak for Data administrations
  • Working information on ETL (Extract, Transform, Load)
  • Working information on OpenShift Container Platform Architecture including: Kubernetes, Docker, Linux System Administration, Storage, Networking and HA Clustering
  • Working information on the kinds of examination (unmistakable, prescient, and prescriptive)
  • Basic comprehension of use designs in Industry Accelerators
  • Basic information on characterizing IT structures and Cloud arrangement designs
  • Working information on Data Governance
  • Working information on Business Intelligence instruments
  • Basic information on Watson Knowledge Catalog
  • Working information on Operationalizing Data Science and AI

IBM C1000-066 Exam Syllabus Topics:

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

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