IBM C1000-084 Exam Details & Actual Exam Questions

  • Exam Code/Number: C1000-084
  • Exam Name/Title: IBM Cloud Pak for Data V3.x Associate Architect
  • Certification Provider: IBM
  • Corresponding Certification: IBM Certification
  • Certification Level: Associate

IBM Cloud Pak for Data V3.x Associate Architect Exam Questions

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IBM C1000-084 Exam Overview:

Certification Vendor:IBM
Exam Name:IBM Cloud Pak for Data V3.x Associate Architect
Exam Number:C1000-084
Exam Format:Multiple select, Multiple choice
Certificate Validity Period:Withdrawn/Expired
Related Certifications:IBM Cloud Pak for Data Solution Architect
IBM Cloud Pak for Data Architect (V4.x)
Available Languages:English
Exam Duration:90 minutes
Real Exam Qty:61
Passing Score:43 out of 61
Exam Price:Information not officially published (varies by location)
Exam Way:Onsite/Online through Pearson VUE (when active)
Pre Condition:Working knowledge of Cloud Pak for Data concepts and architectural principles; familiarity with OpenShift, Kubernetes, data governance, virtualization, BI tools, and AI concepts
Official Syllabus URL:https://www.ibm.com/training/certification/ibm-certified-associate-architect-cloud-pak-for-data-v3x-C0008100

IBM C1000-084 Exam Syllabus Topics:

SectionWeightObjectives
Organize18%- List and define services for data-governance patterns
- Describe key features of a catalog
- Prepare self-service data for business analysts
Platform Modernization30%- Identify security considerations for Cloud Pak for Data
- Design and implement a solution for Cloud Pak for Data
- Describe licensing and sizing considerations
- List the features of Cloud Pak for Data as a platform
Infuse16%- Describe industry solutions in Cloud Pak for Data
- Describe capabilities of business intelligence in Cloud Pak for Data
- Identify Watson capabilities in Cloud Pak for Data
Analyze20%- Classify use cases as descriptive, predictive, prescriptive
- List and define services for data-science patterns
- Describe deployment options of data-science assets
Collect16%- List and define services for data-modernization patterns
- Connect and integrate hybrid data sources
- Design a data virtualization topology


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