The IBM C1000-035 exam is designed for the IT professionals who want to validate their skills in the area of IoT and continuous engineering solutions. The IBM C1000-035 exam is a multiple-choice exam that consists of 60 questions. The candidates are given 90 minutes to complete the exam, and the passing score required is 70%. C1000-035 exam is available in English and Japanese languages, and the candidates can take the exam at any authorized testing center.
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IBM C1000-035 certification exam is designed to assess the candidate’s expertise in designing, implementing and maintaining Watson IoT continuous engineering solutions. C1000-035 exam has a total of 61 questions, and candidates have 90 minutes to complete it. C1000-035 exam format includes multiple-choice, drag and drop, and scenario-based questions. IBM Watson IOT Continous Engineering Solutions Architect V1 certification exam aims to validate the candidate's ability to create and manage continuous engineering solutions, configure and customize IBM Watson IoT products, and develop extensions and integrations for Watson IoT products. Candidates who pass this certification exam demonstrate their ability to help organizations implement Watson IoT continuous engineering solutions that meet their business requirements.
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IBM C1000-035 Exam Syllabus Topics:
| Section | Objectives |
| Continuous Testing and Quality Management | - Test automation
- 1. Quality assurance workflows
- 2. Test planning and execution
|
| Model-Based Systems Engineering (MBSE) | - System modeling concepts
- 1. SysML usage
- 2. System architecture modeling
|
| Requirements and Systems Engineering | - Requirements management
- 1. Traceability and change control
- 2. Requirements lifecycle
|
| Continuous Engineering Concepts | - DevOps and Continuous Delivery
- 1. Automation and configuration management
- 2. Continuous delivery pipelines
- 3. Continuous integration principles
|
| IBM Watson IoT Continuous Engineering Platform | - Platform architecture
- 1. Engineering lifecycle management tools
- 2. Model-based systems engineering
- Integration capabilities
- 1. Enterprise toolchain integration
- 2. IoT data integration
|