IBM C2170-051 Exam Details & Actual Exam Questions

  • Exam Code/Number: C2170-051
  • Exam Name/Title: IBM i2 Analyst Notebook V8.9
  • Certification Provider: IBM
  • Corresponding Certification: IBM Certified Analyst
  • Exam Questions: 106
  • Updated On: Oct,23 2026
  • Certification Level: Intermediate

IBM i2 Analyst Notebook V8.9 Exam Questions

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IBM C2170-051 Exam Overview:

Certification Vendor:IBM
Exam Name:IBM i2 Analyst's Notebook V8.9
Exam Number:C2170-051
Exam Format:Multiple Choice
Related Certifications:IBM Certified Analyst - i2 Analyst's Notebook V8.9
Available Languages:English
Sample Questions:IBM C2170-051 Sample Questions
Exam Way:Authorized IBM testing center or IBM-authorized exam delivery platform (availability depends on region).
Pre Condition:IBM recommends candidates be regular users of IBM i2 Analyst's Notebook V8.9 with a minimum of approximately six months of practical experience.
Official Syllabus URL:https://www.ibm.com/training/certification/ibm-certified-analyst-i2-analysts-notebook-v89-58000401

IBM C2170-051 Exam Syllabus Topics:

SectionObjectives
Topic 1: Chart Visualization and Representation- Displaying and organizing chart information
  • 1. Layouts and chart formatting
    • 2. Link representations and multiplicity
      • 3. Entity representations
        Topic 2: Output and Dissemination- Sharing analysis results
        • 1. Exporting charts and reports
          • 2. Dissemination tools
            • 3. Saving charts in various formats
              Topic 3: Data Acquisition and Chart Creation- Importing and entering data
              • 1. Creating entities, links and events
                • 2. Importing structured and unstructured data
                  • 3. Manual data entry
                    Topic 4: Link Analysis and Intelligence Techniques- Relationship analysis
                    • 1. Timeline and event analysis
                      • 2. Association and network analysis
                        • 3. Centrality and connectivity analysis
                          Topic 5: Entity Resolution and Data Quality- Managing duplicate information
                          • 1. Label Matching
                            • 2. Data consolidation and validation
                              • 3. Smart Matching
                                Topic 6: Filtering and Data Analysis- Analytical tools
                                • 1. Filters and histograms
                                  • 2. Analysis attributes and statistical views
                                    • 3. Searching and querying chart data


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