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Huawei H19-372 exam covers a wide range of topics, including big data basics, data storage and management, data processing and analysis, big data application development, and big data solutions design. H19-372 exam is ideal for pre-sales specialists who want to gain a comprehensive understanding of big data technology and its applications. HCS-Pre-Sale-Big Data (Huawei Certified Pre-sales Specialist Big Data) certification is also suitable for IT professionals who want to enhance their skills and knowledge in big data technology.

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Preparing for the H19-372 certification exam requires a significant amount of time and effort. Candidates must have a solid understanding of big data concepts, as well as experience working with Huawei technologies. There are several resources available to help candidates prepare for the exam, including study guides, practice exams, and training courses. It is important to take advantage of these resources to ensure the best possible outcome.

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The Huawei H19-372 exam is divided into three main sections: Big Data Fundamentals, Huawei Big Data Products and Solutions, and Pre-sales Skills and Tools. The first section covers the basics of big data, including its definition, characteristics, and benefits, as well as the challenges and opportunities of big data. The second section focuses on Huawei's big data products and solutions, such as FusionInsight, FusionSphere, and FusionStage, and their key features, functions, and benefits. The third section covers pre-sales skills and tools, including customer needs analysis, solution design, proposal writing, and presentation skills.

Huawei H19-372 Exam Syllabus Topics:

SectionWeightObjectives
Big Data Fundamentals20%- Basic concepts and characteristics of big data
- Big data industry trends and application scenarios
Big Data Solution Design & Pre-sales15%- Customer requirement analysis
- Cost estimation and competitiveness analysis
- Solution architecture design
Huawei Big Data Platform and Products30%- Product positioning and core features
- FusionInsight platform overview
- Technical specifications and advantages
Typical Industry Application Cases10%- Case analysis and solution matching
- Application scenarios in government, finance, and energy
Big Data Ecosystem Architecture25%- Distributed computing framework
- Data management and scheduling systems
- Distributed storage framework

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