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IBM C1000-007 certification exam is intended for developers who have experience in developing applications using programming languages such as Java, Python, or Node.js. C1000-007 exam also requires the candidate to have knowledge of cloud technologies such as REST APIs, JSON, and YAML. Additionally, the candidate should have experience in using common development tools such as Git, Jenkins, and Docker.
Reference: https://www.ibm.com/certify/exam?id=C1000-007#associatedCerts
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IBM C1000-007 exam consists of 60 multiple-choice questions and has a time limit of 90 minutes. C1000-007 exam can be taken online or at an authorized testing center. To pass C1000-007 exam, individuals need to score at least 68% or higher. Upon passing the exam, individuals receive the IBM Cloud Application Development v3 certification, which is recognized worldwide and demonstrates their expertise in cloud application development.
The IBM Cloud Application Development v3 certification is suitable for professionals seeking to enhance their skills in cloud application development. It is ideal for developers, architects, and system administrators who use IBM products to create and maintain applications. By passing the IBM C1000-007 Exam, candidates demonstrate their ability to work with IBM Cloud platform, use IBM tools for application development and deployment, and integrate applications with other IBM technologies. IBM Cloud Application Development v3 certification is recognized globally and can help candidates to stand out in the crowded job market.
IBM C1000-007 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: DevOps & Application Management | 15% | - IBM Garage Method practices - Monitoring, logging, and troubleshooting - Auto-scaling and performance tuning - Continuous Delivery pipelines |
| Topic 2: Cloud Foundry Application Development | 18% | - Add security and SSO capabilities - Use IBM Cloud Object Storage - Build and deploy Cloud Foundry apps - Integrate IBM Cloudant database |
| Topic 3: Emerging Technologies | 10% | - Add machine learning capabilities - AI and cognitive services integration - Edge computing basics |
| Topic 4: Microservices & Integration | 15% | - IBM Cloud Functions serverless computing - Microservices architecture patterns - Loose coupling with messaging services - Hybrid cloud integration |
| Topic 5: Kubernetes & Containerization | 22% | - Scaling and container orchestration - Helm charts and package management - Deploy to IBM Cloud Kubernetes Service - Core Kubernetes concepts |
| Topic 6: IBM Cloud Architecture & Compute Options | 20% | - Resource organization in IBM Cloud - Compare compute options: Cloud Foundry, IKS, VSI - Cloud native application design principles - Twelve-Factor App methodology |





