IBM S1000-014 Exam Details & Actual Exam Questions

  • Exam Code/Number: S1000-014
  • Exam Name/Title: IBM Maximo Visual Inspection v8.3 Developer Specialty
  • Certification Provider: IBM
  • Corresponding Certification: IBM Certification
  • Certification Level: Specialty

IBM Maximo Visual Inspection v8.3 Developer Specialty Exam Questions

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IBM S1000-014 Exam Overview:

Certification Vendor:IBM
Exam Name:IBM Maximo Visual Inspection v8.3 Developer Specialty
Exam Number:S1000-014
Certificate Validity Period:Until 30 September 2025 (exam withdrawn, certification expires)
Exam Duration:75 minutes
Related Certifications:IBM Maximo Visual Inspection v8.3 Developer
Real Exam Qty:41
Exam Price:Paid (official IBM pricing varies by region)
Exam Format:Multiple choice
Available Languages:English
Passing Score:28 out of 41 (approx. 68.3%)
Exam Way:Onsite or authorized testing center (historically Pearson VUE / IBM testing partners)
Pre Condition:No specific prerequisites published by IBM
Official Syllabus URL:https://www.ibm.com/training/certification/ibm-maximo-visual-inspection-v83-developer-specialty-S0011000

IBM S1000-014 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Integration with Maximo Suite Applications2%- Integrating MVI with Maximo Monitor
Topic 2: Maximo Visual Inspection Use Cases7%- Identify computer vision business problem solutions
Topic 3: Data Acquisition10%- Streamline data acquisition with auto capture
- Functional and technical data collection requirements
Topic 4: Manage Data Sets10%- Manage data within Maximo Visual Inspection
- Import and export data
Topic 5: Work with Maximo Visual Inspection Mobile and Edge22%- Configure inspection rules and triggers
- Configure dashboards
- Configure MVI Mobile and Edge
- Create and setup inspections
- MVI Mobile and Edge capabilities
Topic 6: Train & Validate Models22%- Customize training parameters
- Troubleshoot training issues
- Analyze training metrics
- Validate and evaluate models
- Determine algorithm choice
Topic 7: Prepare Data15%- Modify labeling strategy
- Choose data annotation strategy
- Improve model by data augmentation
- Auto labeling techniques
Topic 8: Deploy Model12%- Monitor and improve performance
- Export trained model
- Use APIs for automation
- Model deployment strategies
- Create runtime architecture


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