IBM C1000-191 Exam Details & Actual Exam Questions

  • Exam Code/Number: C1000-191
  • Exam Name/Title: IBM Cognos Analytics v12 Analyst - Professional
  • Certification Provider: IBM
  • Corresponding Certification: IBM Certification
  • Certification Level: Professional

IBM Cognos Analytics v12 Analyst - Professional Exam Questions

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IBM C1000-191 Exam Overview:

Certification Vendor:IBM
Exam Name:IBM Cognos Analytics v12 Analyst - Professional
Exam Number:C1000-191
Available Languages:English
Passing Score:72% or 700/1000
Real Exam Qty:60 - 62
Exam Format:Interactive items, Multiple select, Multiple choice
Exam Price:$200 USD
Related Certifications:IBM Data and AI: Data and AI
Certificate Validity Period:3 years
Exam Duration:90 minutes
Recommended Training:IBM Cognos Analytics 12: Overview of Dashboards (B7370G)
IBM Cognos Analytics 12: Modeling with Data Modules (B7320G)
Exam Registration:IBM Official Registration
Pearson VUE Exam Scheduling
Exam Way:Online proctored or onsite at Pearson VUE test centers
Pre Condition:Recommended: 2+ years of experience using IBM Cognos Analytics; familiarity with data analysis, reporting, and dashboard creation
Official Syllabus URL:https://www.ibm.com/training/certification/C1000-191

IBM C1000-191 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Advanced Reporting17%- Customize and optimize reports
  • 1. Enhance report performance
    • 2. Implement advanced expressions
      - Build complex queries and relationships
      • 1. Apply dimensional reporting concepts
        • 2. Define master-detail connections
          Topic 2: Data Preparation and AI Features13%- Work with data sources and modules
          • 1. Upload and integrate external data
            • 2. Create and manage data modules
              - Use AI Assistant and analytics
              • 1. Generate automated insights
                • 2. Ask natural language questions
                  Topic 3: Dashboards and Stories23%- Build and share data stories
                  • 1. Add narrative and visual elements
                    • 2. Apply forecasting and analysis features
                      - Create and design dashboards
                      • 1. Use widgets and formatting options
                        • 2. Apply filters and interactivity
                          • 3. Select appropriate visualization types
                            Topic 4: Content Management and Security12%- Organize and share content
                            • 1. Schedule and distribute reports
                              • 2. Manage versions and permissions
                                Topic 5: Report Authoring35%- Manage report content
                                • 1. Use drill-through and reusable objects
                                  • 2. Group, sort, and summarize data
                                    - Design basic and complex reports
                                    • 1. Implement filters, prompts, and parameters
                                      • 2. Create lists, crosstabs, and charts
                                        • 3. Add conditional formatting and calculations


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