IBM C1000-199 Exam Details & Actual Exam Questions

  • Exam Code/Number: C1000-199
  • Exam Name/Title: IBM Planning Analytics v2.1.x Analyst
  • Certification Provider: IBM
  • Corresponding Certification: IBM Certification
  • Certification Level: Associate

IBM Planning Analytics v2.1.x Analyst Exam Questions

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IBM C1000-199 Exam Overview:

Certification Vendor:IBM
Exam Name:IBM Planning Analytics v2.1.x Analyst
Exam Number:C1000-199
Related Certifications:IBM Certified Analyst - IBM Planning Analytics v2.1.x
Exam Price:USD 200
Exam Format:Multiple Choice, Multiple Response
Passing Score:44/60
Available Languages:English
Real Exam Qty:60
Exam Duration:90 minutes
Exam Way:Pearson VUE testing center or online proctored exam
Pre Condition:No formal prerequisite exam required. Practical experience with IBM Planning Analytics Workspace and TM1-based planning solutions is recommended.
Official Syllabus URL:https://www.ibm.com/training/certification

IBM C1000-199 Exam Syllabus Topics:

SectionWeightObjectives
Reporting and Dashboards15%- Create Reports and Dashboards
  • 1. Build reports from Planning Analytics data
  • 2. Share and present analytical content
  • 3. Design dashboards and scorecards
Administration Awareness and Best Practices10%- Understand Platform Capabilities
  • 1. Recognize security and access concepts
  • 2. Understand data refresh processes
  • 3. Identify common troubleshooting techniques
Planning Analytics Workspace Navigation and Collaboration15%- Navigate Planning Analytics Workspace
  • 1. Manage personal and shared content
  • 2. Use collaboration and annotation features
  • 3. Use books, views, sheets, and widgets
Exploration and Analysis30%- Analyze Data
  • 1. Perform drill-down and drill-through analysis
  • 2. Create visualizations and charts
  • 3. Apply filters and calculations
  • 4. Create and modify explorations
  • 5. Use hierarchies and dimensions
Planning and Forecasting30%- Plan and Forecast
  • 1. Submit and approve plans
  • 2. Use sandboxes for modeling
  • 3. Create forecasts and what-if scenarios
  • 4. Use spreading and allocation methods
  • 5. Enter and adjust planning data


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