Huawei H13-723 Exam Details & Actual Exam Questions
- Exam Code/Number: H13-723
- Exam Name/Title: HCIP-Big Data Developer V1.0
- Certification Provider: Huawei
- Corresponding Certification: Huawei Other Certification
- Exam Questions: 155
- Updated On: Sep,12 2026
- Certification Level: Professional
Huawei HCIP-Big Data Developer V1.0 Exam Questions
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(32 Up Votes)Huawei H13-723 Exam Overview:
| Certification Vendor: | Huawei |
|---|---|
| Exam Name: | HCIP-Big Data Developer V1.0 |
| Exam Number: | H13-723 |
| Certificate Validity Period: | 3 years |
| Passing Score: | 600/1000 |
| Exam Price: | USD 300 |
| Exam Format: | Single-choice, Scenario-based, Multiple-choice, True/False |
| Real Exam Qty: | 60 |
| Exam Duration: | 90 minutes |
| Available Languages: | English, Chinese |
| Related Certifications: | HCIA-Big Data HCIE-Big Data |
| Recommended Training: | Huawei Official Training |
| Exam Registration: | Huawei Talent Online Pearson VUE Huawei Portal |
| Sample Questions: | Huawei H13-723 Sample Questions |
| Exam Way: | Online proctored or onsite testing center via Pearson VUE |
| Pre Condition: | Recommended: HCIA-Big Data certification, basic Java/SQL/Linux knowledge |
| Official Syllabus URL: | https://e.huawei.com/en/talent/certification/exam/H13-723 |
Huawei H13-723 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Big Data Real-time Retrieval Scenario-based Solution | 30% | - HBase design, coprocessors, optimization - GaussDB(DWS) data warehouse - Elasticsearch, SolrCloud, CarbonData usage - Apache Phoenix SQL and indexing |
| Big Data Offline Batch Processing Scenario-based Solution | 25% | - Spark development: RDD, DataFrame, Catalyst, AQE - Data ingestion and lakehouse formats - Hive development: UDF/UDAF/UDTF, ACID, optimization |
| Big Data Application Development Overall Guide | 15% | - FusionInsight HD architecture and components - Big data architecture: Lambda and Kappa - Security framework: Kerberos, Ranger, ZooKeeper - HDFS advanced features and YARN scheduling |
| Big Data Real-time Stream Computing Scenario-based Solution | 30% | - Apache Flink: event time, windowing, state, checkpoint - Kafka integration and transactions - Flink SQL and CEP - Spark Structured Streaming |
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