Exam Name: HCIP-Big Data Developer V2.0
Certification Provider: Huawei
Corresponding Certification: Huawei Other Certification
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Huawei H13-723_V2.0 (HCIP-Big Data Developer V2.0) Certification Exam is an assessment that measures the skills and knowledge of professionals in the field of big data development. HCIP-Big Data Developer V2.0 certification exam is designed to test the abilities of individuals in various areas such as big data development, data mining, and data analysis. It is an excellent certification for professionals who want to demonstrate their expertise in the field of big data development.
Huawei H13-723_V2.0 (HCIP-Big Data Developer V2.0) Certification Exam is a professional certification exam that is designed for individuals seeking to earn HCIP-Big Data Developer V2.0 certification. HCIP-Big Data Developer V2.0 certification exam is an advanced level exam that focuses on big data development and management, and it is intended for candidates with a strong foundation in big data technologies.
The HCIP-Big Data Developer V2.0 Exam is a 90-minute exam that consists of 60 multiple-choice questions. H13-723_V2.0 exam is designed to test the candidate's knowledge and skills in big data development and to assess their ability to apply this knowledge to real-world scenarios. H13-723_V2.0 exam is available in English and Chinese and can be taken at Huawei authorized testing centers around the world. Upon passing the exam, candidates will be awarded the HCIP-Big Data Developer V2.0 certification, which is recognized globally as a benchmark of excellence in big data development.
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Huawei H13-723_V2.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Big Data Offline Batch Processing Scenario-based Solution | 25% | - Hive development, optimization and ACID transactions - Spark Core, Spark SQL and Catalyst optimization - HDFS and YARN principles and configuration - Data ingestion tools: Loader, Sqoop, Flume |
| Big Data Real-time Retrieval Scenario-based Solution | 30% | - Elasticsearch indexing, query and cluster management - CarbonData and GaussDB(DWS) basics - Apache Phoenix and secondary indexes - HBase architecture, row-key design and optimization |
| Big Data Real-time Stream Computing Scenario-based Solution | 30% | - Apache Flink: event time, watermark, windowing and state management - Spark Structured Streaming fundamentals - Flink SQL and complex event processing - Kafka architecture, transactions and configuration |
| Big Data Application Development Overall Guide | 15% | - FusionInsight HD architecture and components - Application development process and specifications - Mainstream big data technologies and ecosystem - Scenario-based solution design overview |
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