OC-15 exam dumps

Huawei OC-15 Value Package

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  • Exam Code: OC-15
  • Exam Name: Open ROADS Consultant - Big Data & AI
  • No. of Questions: 0 Questions and Answers
  • Updated: Jul 26, 2026

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Huawei OC-15: Open ROADS Consultant - Big Data & AI exam is a certification program that is designed to test the knowledge and skills of professionals in the field of big data and artificial intelligence. OC-15 exam is intended to help individuals who are looking to validate their expertise in using these technologies to drive digital transformation for businesses and organizations. Open ROADS Consultant - Big Data & AI certification program is recognized globally, and passing the exam is a testament to one's proficiency in handling big data and AI.

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Huawei OC-15 (Open ROADS Consultant - Big Data & AI) Certification Exam is an advanced level certification designed for professionals who want to demonstrate their expertise in the field of big data and artificial intelligence. Open ROADS Consultant - Big Data & AI certification exam is part of the Huawei Open ROADS (Real-time, On-demand, All-online, DIY, and Social) methodology, which is a holistic approach to digital transformation that combines advanced technologies with agile methodologies.

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Huawei OC-15 Exam Syllabus Topics:

SectionObjectives
Open ROADS Framework Application- ROADS principles (Real-time, On-demand, All-online, DIY, Social)
- Customer experience transformation using ROADS model
Artificial Intelligence in Enterprise Solutions- AI model lifecycle in enterprise use cases
  • 1. Data preparation and feature engineering
    • 2. Model training and evaluation concepts
      - AI applications in telecom and industry scenarios
      Big Data & AI Strategy and Transformation- Data-driven decision making and AI adoption strategies
      - Digital transformation principles in enterprise environments
      - Big data ecosystem and Huawei big data architecture overview
      Big Data Technologies and Platforms- Big data storage and computing frameworks
      • 1. Data lake and data warehouse concepts
        • 2. Distributed storage concepts
          - Data processing and analytics concepts
          • 1. Batch processing vs stream processing
            • 2. Real-time analytics fundamentals

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