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Updated: Jul 17, 2026

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The HCIA-Big Data certification is a professional certification targeted at candidates who have basic knowledge of the data center, as well as the basics of big data, data analysis, and data mining. HCIA-Big Data V3.0 certification is best suited for mid-level IT professionals who want to enhance their skills in the data science domain. H13-711_V3.0 exam tests candidates’ ability to design, deploy, maintain a big data platform, and manipulate big data analytically using Hadoop, Kafka, and Spark.

Huawei H13-711_V3.0-ENU (HCIA-Big Data V3.0) Certification Exam is a valuable certification for individuals who want to advance their careers in the field of big data. HCIA-Big Data V3.0 certification demonstrates that the candidate has the skills and knowledge needed to design and implement big data solutions. It also shows that the candidate is committed to staying up-to-date with the latest technologies and trends in the field of big data.

The H13-711_V3.0 (HCIA-Big Data V3.0) Certification Exam is an excellent opportunity for IT professionals to enhance their skills and knowledge in the field of big data. H13-711_V3.0 exam covers a range of topics, including big data concepts, architecture, processing, analysis, and application. By passing the exam, IT professionals can demonstrate their expertise in big data and enhance their career prospects.

Huawei H13-711_V3.0-ENU exam requires a thorough understanding of big data technologies, including Hadoop, Spark, Hive, HBase, and many others. H13-711_V3.0 exam covers the fundamentals of big data, including data modeling, data storage, data processing, analysis, and visualization. H13-711_V3.0 exam also includes questions on big data security, privacy, and compliance requirements. The HCIA-Big Data certification verifies that you have the skills and knowledge to design and implement big data solutions that are secure, efficient, and scalable.

Huawei H13-711_V3.0 Exam Overview:

Certification Vendor:Huawei
Exam Name:Huawei Certified ICT Associate - Big Data V3.0
Exam Number:H13-711_V3.0-ENU
Exam Duration:90 minutes
Certificate Validity Period:3 years
Exam Format:Single-choice, Multiple-choice, True/False, Fill-in-the-blank, Drag-and-drop
Real Exam Qty:60
Exam Price:USD 200
Related Certifications:HCIP-Big Data Developer
HCIE-Big Data
Available Languages:English, Chinese
Passing Score:600 / 1000
Recommended Training:Huawei FusionInsight MRS Documentation
HCIA-Big Data V3.0 Official Training
Exam Registration:Pearson VUE Registration
Huawei Talent Official Portal
Sample Questions:Huawei H13-711_V3.0 Sample Questions
Exam Way:Online proctored or onsite at Pearson VUE authorized test centers
Pre Condition:No mandatory prerequisites; recommended basic Linux and Hadoop knowledge
Official Syllabus URL:https://e.huawei.com/en/talent/cert/#/certDetail/H13-711_V3.0

Huawei H13-711_V3.0 Exam Syllabus Topics:

SectionWeightObjectives
Security & Other Components8%- Elasticsearch and Redis overview
- LDAP and Kerberos authentication mechanism
Huawei Big Data Platform & Solutions7%- FusionInsight/MRS architecture and components
- Typical big data solutions and use cases
Data Warehouse & Query Engine18%- Hive execution engines: MapReduce, Tez, Spark
- File formats: ORC, Parquet, SequenceFile
- Hive architecture, metastore, partitioning and bucketing
Data Integration & Streaming15%- Flume log collection architecture and configuration
- Loader data migration and synchronization
- Kafka message queue principles and usage
Distributed Storage & Coordination20%- ZooKeeper functions, architecture and application
- HBase architecture, data model and row-key design
- HDFS architecture, principles and operations
Big Data Industry Overview & Basic Concepts10%- Development trends and characteristics of big data
- Huawei Kunpeng big data ecosystem
- Big data application scenarios and challenges
Distributed Computing Framework22%- MapReduce programming model and workflow
- Spark core concepts, RDD, DataFrame and Spark SQL
- Flink stream processing fundamentals
- YARN architecture, resource scheduling and management

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