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Huawei H13-711_V3.0-ENU (HCIA-Big Data V3.0) Exam is a certification exam designed for big data professionals who want to validate their skills and knowledge. H13-711_V3.0-ENU exam is intended for individuals who have a deep understanding of big data concepts, architecture, and applications, and can effectively implement big data solutions using Huawei products.
Huawei H13-711_V3.0-ENU (HCIA-Big Data V3.0) certification exam is a popular certification exam that is designed to test the knowledge and skills of professionals who are interested in big data technology. HCIA-Big Data V3.0 certification exam is the first level of certification in the Huawei Certified ICT Associate (HCIA) certification program and is designed for professionals who are interested in developing their skills in big data technology.
Huawei H13-711_V3.0-ENU Exam Overview:
| Certification Vendor: | Huawei |
|---|---|
| Exam Name: | Huawei Certified ICT Associate - Big Data V3.0 |
| Exam Number: | H13-711_V3.0 |
| Available Languages: | English, Spanish, Chinese |
| Exam Format: | Single-answer, Drag and Drop, True/False, Short Response, Multiple-answer |
| Real Exam Qty: | 60 |
| Related Certifications: | HCIE-Big Data HCIP-Big Data |
| Exam Price: | 200 USD |
| Passing Score: | 600/1000 |
| Exam Duration: | 90 minutes |
| Certificate Validity Period: | 3 years |
| Recommended Training: | Huawei FusionInsight HD V3.0 Guide HCIA-Big Data V3.0 Official Training |
| Exam Registration: | Pearson VUE Registration Huawei Certification Official |
| Sample Questions: | Huawei H13-711_V3.0-ENU Sample Questions |
| Exam Way: | Online proctored or onsite at Pearson VUE test centers |
| Pre Condition: | Recommended: Basic Linux operation, basic Hadoop knowledge, 0-6 months of big data experience |
| Official Syllabus URL: | https://edu.huaweicloud.com/intl/en-us/certificationindex/career/bde.html |
The HCIA-Big Data V3.0 certification exam is aimed at professionals who are interested in pursuing a career in big data technologies. HCIA-Big Data V3.0 certification exam covers a wide range of topics, including big data architecture, big data processing and analysis, big data storage, and big data application development. H13-711_V3.0-ENU exam also covers the latest trends and best practices in big data technologies, making it a comprehensive certification for IT professionals.
Huawei H13-711_V3.0-ENU certification exam is a great opportunity for IT professionals to expand their knowledge and skills in big data technologies. With the increasing demand for big data professionals in the industry, this certification can provide a significant boost to the candidate's career prospects. HCIA-Big Data V3.0 certification can help IT professionals to demonstrate their expertise in big data technologies and stand out from the competition in the job market.
Huawei H13-711_V3.0-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Big Data Development Trend & Kunpeng Big Data Solution | 3% | - Huawei Kunpeng big data overview - Big Data industry development trends - Characteristics of big data |
| Topic 2: LDAP & Kerberos Security | 5% | - Kerberos authentication process - Unified authentication principles |
| Topic 3: HDFS & ZooKeeper | 12% | - HDFS data storage and fault tolerance - HDFS architecture and principles - ZooKeeper architecture and coordination mechanism |
| Topic 4: Huawei Big Data Solution | 4% | - FusionInsight HD/MRS overview - Platform functions and industry cases |
| Topic 5: Elasticsearch Search Engine | 5% | - Full-text search and analysis - Architecture and indexing mechanism |
| Topic 6: Flink Stream Processing Framework | 8% | - Stream processing scenarios - Flink architecture and data flow model - Event time and window mechanism |
| Topic 7: Loader Data Conversion | 5% | - Loader functions and use cases - Data import/export process |
| Topic 8: Hive Distributed Data Warehouse | 10% | - Hive architecture and components - Hive data model and SQL - Hive data storage and query execution |
| Topic 9: Redis In-Memory Database | 5% | - High availability and application scenarios - Data types and storage structure |
| Topic 10: Flume Log Collection | 7% | - Data collection workflow - Flume architecture and components |
| Topic 11: Spark Distributed Computing Framework | 12% | - Spark architecture and RDD concept - Spark task scheduling and optimization - Spark SQL and Spark Streaming |
| Topic 12: Kafka Messaging System | 9% | - Message production and consumption - Kafka architecture and core concepts |
| Topic 13: MapReduce & YARN | 12% | - MapReduce programming model and workflow - YARN architecture and resource scheduling - Task execution and resource management |
| Topic 14: HBase Distributed Database | 10% | - HBase architecture and data model - HBase read/write process - HBase table design and application scenarios |
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