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Huawei H13-711_V3.0-ENU: HCIA-Big Data V3.0 is a certification exam offered by Huawei for IT professionals who want to validate their knowledge and skills in big data technologies and solutions. H13-711_V3.0 exam is designed to test the candidates' proficiency in various big data technologies, such as Hadoop, MapReduce, HBase, Hive, Pig, Flume, and Spark, among others.
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Huawei H13-711_V3.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Security & Other Components | 8% | - LDAP and Kerberos authentication mechanism - Elasticsearch and Redis overview |
| Topic 2: Data Warehouse & Query Engine | 18% | - Hive execution engines: MapReduce, Tez, Spark - Hive architecture, metastore, partitioning and bucketing - File formats: ORC, Parquet, SequenceFile |
| Topic 3: Distributed Storage & Coordination | 20% | - HDFS architecture, principles and operations - HBase architecture, data model and row-key design - ZooKeeper functions, architecture and application |
| Topic 4: Huawei Big Data Platform & Solutions | 7% | - FusionInsight/MRS architecture and components - Typical big data solutions and use cases |
| Topic 5: Big Data Industry Overview & Basic Concepts | 10% | - Big data application scenarios and challenges - Huawei Kunpeng big data ecosystem - Development trends and characteristics of big data |
| Topic 6: Distributed Computing Framework | 22% | - MapReduce programming model and workflow - YARN architecture, resource scheduling and management - Flink stream processing fundamentals - Spark core concepts, RDD, DataFrame and Spark SQL |
| Topic 7: Data Integration & Streaming | 15% | - Flume log collection architecture and configuration - Kafka message queue principles and usage - Loader data migration and synchronization |








