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To pass the Huawei H13-711_V3.0 Certification Exam, candidates must demonstrate their proficiency in key areas such as big data storage, processing, analysis, and management. They must also be able to apply this knowledge in real-world scenarios to design and implement big data solutions that are scalable, reliable, and secure.
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Core Big Data Technologies | 12% | - ZooKeeper coordination service - HBase NoSQL database - Elasticsearch and Redis basics - HDFS and distributed storage principles - LDAP and Kerberos security mechanisms - MapReduce and YARN - Spark and Flink processing frameworks - Hive data warehouse - Flume, Kafka data ingestion |
| Topic 2: Big Data Fundamentals | 3% | - Industry development trends and characteristics of big data - Huawei Kunpeng big data architecture overview |
| Topic 3: Huawei Big Data Solutions | - Huawei big data product architecture - Industry use cases and success stories - Solution deployment and application scenarios |
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