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Huawei H13-723_V2.0 (HCIP-Big Data Developer V2.0) Certification Exam is designed to test the skills and knowledge of professionals who are interested in working with big data. H13-723_V2.0 exam focuses on testing the abilities of candidates in areas such as data modeling, data processing, data analysis, and data visualization. It is a comprehensive exam that covers a range of topics related to big data.
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Huawei H13-723_V2.0 exam is an intermediate-level certification exam that aims to assess the candidate's skills in big data development. H13-723_V2.0 exam is a comprehensive test of the candidate's knowledge of the latest big data development technologies and tools. HCIP-Big Data Developer V2.0 certification exam is ideal for professionals who want to advance their careers in big data development and work with Huawei's FusionInsight HD platform. By passing the Huawei H13-723_V2.0 exam, candidates will be able to demonstrate their expertise in big data development and increase their chances of landing high-paying job opportunities in the industry.
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Huawei H13-723_V2.0 (HCIP-Big Data Developer V2.0) Exam is a certification exam designed for IT professionals who want to validate their skills in big data development. H13-723_V2.0 exam is offered by Huawei and is intended to assess the candidate's knowledge and proficiency in big data development, including the ability to design, develop, and manage big data solutions.
Huawei H13-723_V2.0 (HCIP-Big Data Developer V2.0) Exam is a certification exam that is designed for IT professionals who want to specialize in big data development. H13-723_V2.0 exam measures the candidate's skills in various areas such as big data storage, processing, analysis, and application development. The Huawei H13-723_V2.0 exam is an essential certification for those who want to advance their career in big data development.
Huawei H13-723_V2.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Big Data Real-time Stream Computing Scenario-based Solution | 30% | - Apache Flink: event time, watermark, windowing and state management - Kafka architecture, transactions and configuration - Spark Structured Streaming fundamentals - Flink SQL and complex event processing |
| Topic 2: Big Data Real-time Retrieval Scenario-based Solution | 30% | - HBase architecture, row-key design and optimization - CarbonData and GaussDB(DWS) basics - Apache Phoenix and secondary indexes - Elasticsearch indexing, query and cluster management |
| Topic 3: Big Data Application Development Overall Guide | 15% | - Application development process and specifications - Mainstream big data technologies and ecosystem - Scenario-based solution design overview - FusionInsight HD architecture and components |
| Topic 4: Big Data Offline Batch Processing Scenario-based Solution | 25% | - Spark Core, Spark SQL and Catalyst optimization - HDFS and YARN principles and configuration - Data ingestion tools: Loader, Sqoop, Flume - Hive development, optimization and ACID transactions |
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