By passing the C1000-036 exam, individuals can demonstrate their skills and expertise in designing and implementing IBM Watson IoT solutions. It can help them stand out in the job market and increase their career opportunities. Moreover, the certification can also help organizations in identifying qualified professionals who can design and implement IoT solutions using IBM Watson IoT Platform.
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IBM C1000-036 (IBM Watson IoT Platform V1 Solution Architect) Certification Exam is a popular certification exam that is designed for IT professionals who want to prove their skills and knowledge in designing IoT solutions. IBM Watson IoT Platform V1 Solution Architect certification exam is based on the IBM Watson IoT Platform V1 and covers a variety of topics, including IoT solution architecture, device management, data collection and analysis, and security.
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IBM C1000-036 exam is a multiple-choice exam that consists of 60 questions. The candidate has 90 minutes to complete the exam. The passing score for the exam is 67%. C1000-036 exam is available in English and Japanese languages. C1000-036 exam can be taken either online or at a testing center.
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IBM Watson IoT Platform is a cloud-based platform that allows businesses to connect and manage their IoT devices, data, and applications. The platform provides a range of services that enable businesses to build, deploy, and manage IoT solutions. The IBM C1000-036 exam focuses on the technical aspects of the platform, including its architecture, functionality, and features.
Reference: https://www.ibm.com/certify/exam?id=C1000-036#associatedCerts
IBM C1000-036 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Security & Compliance | 15% | - Compliance and governance - Authentication and authorization - Data encryption and privacy |
| Topic 2: Deployment, Integration & Troubleshooting | 15% | - Monitoring, logging, and problem determination - Cloud and hybrid deployment models - API usage and third-party integration |
| Topic 3: Data Management & Analytics | 20% | - Data ingestion, transformation, and storage - Integration with Watson AI/Analytics services - Rules engine and event processing |
| Topic 4: Solution Architecture & Design | 25% | - Platform architecture and components - Scalability and high availability design - IoT solution requirements analysis |
| Topic 5: Device Management & Connectivity | 25% | - Device registration and lifecycle management - Protocols: MQTT, HTTP, WebSockets - Gateway integration and edge computing |





