H13-711 exam dumps

Huawei H13-711 Value Package

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  • Exam Code: H13-711
  • Exam Name: HCIA-Big Data V2.0
  • No. of Questions: 195 Questions and Answers
  • Updated: Jul 29, 2026

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The Huawei H13-711 exam covers a wide range of topics, including big data fundamentals, data analysis and processing, database technologies, data visualization, and more. It also requires candidates to have a solid grasp of the industry’s best practices and standards, as well as an understanding of how to implement big data solutions in real-world scenarios.

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Huawei H13-711 (HCIA-Big Data V2.0) Certification Exam is a globally recognized professional certification designed for professionals who wish to prove their proficiency in Big Data. Huawei, a renowned Chinese tech giant, offers this certification that demonstrates an individual's skills and knowledge in dealing with Big Data platforms and architecture. It is an intermediate-level certification that validates the candidate's abilities in various Big Data technologies and platforms.

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The HCIA-Big Data V2.0 certification exam is split into six sections that cover Big Data fundamentals, Big Data storage, Big Data processing, Data governance, Data Science, and Machine Learning. H13-711 exam is designed to validate your knowledge in each of these areas, and will test your understanding of Big Data analytics algorithms, data storage solutions, data governance frameworks, data science, and machine learning.

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The HCIA-Big Data V2.0 certification exam is suitable for IT professionals who are looking to enhance their skills and knowledge in big data technologies. It is an intermediate-level certification that requires candidates to have a basic understanding of big data concepts and technologies. Candidates who have experience in big data analytics, data warehousing, and database management systems are well-suited for this certification exam.

Huawei H13-711 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Distributed Computing & Streaming20%- Data integration tools: Flume, Kafka
- Spark core, Spark SQL and Spark Streaming
- Flink basic concepts and stream processing
Topic 2: Big Data Security & Maintenance8%- Permission control and authentication
- Data backup and fault recovery
- Monitoring and basic troubleshooting
Topic 3: Data Warehouse & NoSQL20%- HBase data model and operations
- Comparison of storage engines
- Hive architecture and SQL usage
Topic 4: Big Data Fundamentals15%- Development trends and application scenarios
- Challenges and architecture of big data systems
- Concepts and characteristics of big data
Topic 5: Huawei FusionInsight/MRS Platform12%- Typical deployment scenarios
- Architecture and components of FusionInsight HD
- Basic operation and management of MRS
Topic 6: Hadoop Ecosystem & Distributed Storage25%- HDFS architecture and operation
- ZooKeeper principle and functions
- YARN resource management
- MapReduce computing framework

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