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Last Updated: Sep 11, 2026

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Huawei H13-723-ENU (HCIP-Big Data Developer) certification exam is a valuable certification for professionals who work with big data technologies and want to demonstrate their expertise in developing big data solutions using Huawei's FusionInsight HD platform. By earning this certification, candidates can showcase their skills and knowledge to potential employers and advance their careers in the field of big data development.

Huawei H13-723 (HCIP-Big Data Developer V1.0) Exam is designed to test the knowledge and skills of individuals who want to become experts in big data development. H13-723 exam is an intermediate-level certification offered by Huawei, one of the leading technology companies in the world. H13-723 exam is intended for professionals who have experience in big data development and who want to enhance their skills and knowledge.

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Huawei H13-723 Exam consists of 60 multiple-choice questions that need to be completed in 90 minutes. H13-723 exam is available in two languages, English and Chinese. H13-723 exam fee is $150, and candidates can take the exam at any authorized testing center. The passing score for H13-723 exam is 60 out of 100. Candidates who pass the exam receive a Huawei HCIP-Big Data Developer V1.0 certification, which is recognized worldwide.

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Huawei H13-723 Certification Exam is a crucial evaluation tool for individuals who seek to strengthen their professional credentials in the field of big data development. Having this certification demonstrates to potential employers that you possess the necessary skills and knowledge to build efficient data processing and analysis applications that support large data volumes.

Huawei H13-723 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Big Data Real-time Stream Computing Scenario-based Solution30%- Flume and Kafka data ingestion
- Flink stream processing framework
- Stream solution deployment and tuning
- Spark Streaming and Structured Streaming
Topic 2: Big Data Application Development Overall Guide15%- Mainstream big data technologies and ecosystems
- Scenario-based big data solutions overview
- Application development fundamentals
- Big data concepts and architecture
Topic 3: Big Data Real-time Retrieval Scenario-based Solution30%- GaussDB(DWS) and distributed query
- HBase architecture and development
- Elasticsearch and real-time search
- Real-time retrieval optimization
Topic 4: Big Data Offline Batch Processing Scenario-based Solution25%- Spark SQL and batch processing
- Offline solution design and optimization
- Data ingestion tools: Loader, Sqoop, Kettle
- HDFS and Hive principles and usage

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