Huawei H13-723_V2.0 (HCIP-Big Data Developer V2.0) Exam is a comprehensive certification exam that measures the candidate's proficiency in big data development. H13-723_V2.0 exam is ideal for individuals who want to demonstrate their expertise in this field and advance their career in big data development.
Huawei H13-723_V2.0 exam is an industry-recognized certification that validates the candidate's skills and knowledge in big data development. HCIP-Big Data Developer V2.0 certification is highly valued by employers, as it demonstrates the candidate's ability to work with big data tools and technologies. The Huawei H13-723_V2.0 certification is an excellent way for IT professionals to advance their career in big data development and take on more challenging roles.
To prepare for the Huawei H13-723_V2.0 exam, candidates can take official training courses offered by Huawei. These courses cover all the topics included in the exam and provide candidates with hands-on experience in big data application development. Candidates can also use online resources, such as books, forums, and practice tests, to enhance their knowledge and skills.
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Huawei H13-723_V2.0 (HCIP-Big Data Developer V2.0) Certification Exam is a professional level certification exam designed for individuals who want to validate their skills and knowledge in big data development. H13-723_V2.0 exam is designed to test the candidate's proficiency in big data development technologies, including Hadoop, MapReduce, Hive, Pig, HBase, and Spark. HCIP-Big Data Developer V2.0 certification is recognized globally and is a valuable addition to any IT professional's resume.
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Huawei H13-723_V2.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Big Data Real-time Retrieval Scenario-based Solution | 30% | - Apache Phoenix and secondary indexes
- CarbonData and GaussDB(DWS) basics
- Elasticsearch indexing, query and cluster management
- HBase architecture, row-key design and optimization
|
| Big Data Offline Batch Processing Scenario-based Solution | 25% | - HDFS and YARN principles and configuration
- Hive development, optimization and ACID transactions
- Data ingestion tools: Loader, Sqoop, Flume
- Spark Core, Spark SQL and Catalyst optimization
|
| Big Data Real-time Stream Computing Scenario-based Solution | 30% | - Flink SQL and complex event processing
- Kafka architecture, transactions and configuration
- Spark Structured Streaming fundamentals
- Apache Flink: event time, watermark, windowing and state management
|
| Big Data Application Development Overall Guide | 15% | - Application development process and specifications
- Mainstream big data technologies and ecosystem
- FusionInsight HD architecture and components
- Scenario-based solution design overview
|