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Huawei H13-711_V3.0-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Flume Log Collection | 7% | - Data collection workflow - Flume architecture and components |
| Topic 2: Big Data Development Trend & Kunpeng Big Data Solution | 3% | - Big Data industry development trends - Characteristics of big data - Huawei Kunpeng big data overview |
| Topic 3: HBase Distributed Database | 10% | - HBase architecture and data model - HBase read/write process - HBase table design and application scenarios |
| Topic 4: Loader Data Conversion | 5% | - Data import/export process - Loader functions and use cases |
| Topic 5: Flink Stream Processing Framework | 8% | - Flink architecture and data flow model - Stream processing scenarios - Event time and window mechanism |
| Topic 6: HDFS & ZooKeeper | 12% | - ZooKeeper architecture and coordination mechanism - HDFS architecture and principles - HDFS data storage and fault tolerance |
| Topic 7: Spark Distributed Computing Framework | 12% | - Spark SQL and Spark Streaming - Spark architecture and RDD concept - Spark task scheduling and optimization |
| Topic 8: LDAP & Kerberos Security | 5% | - Kerberos authentication process - Unified authentication principles |
| Topic 9: Elasticsearch Search Engine | 5% | - Architecture and indexing mechanism - Full-text search and analysis |
| Topic 10: Redis In-Memory Database | 5% | - High availability and application scenarios - Data types and storage structure |
| Topic 11: MapReduce & YARN | 12% | - MapReduce programming model and workflow - Task execution and resource management - YARN architecture and resource scheduling |
| Topic 12: Huawei Big Data Solution | 4% | - Platform functions and industry cases - FusionInsight HD/MRS overview |
| Topic 13: Kafka Messaging System | 9% | - Message production and consumption - Kafka architecture and core concepts |
| Topic 14: Hive Distributed Data Warehouse | 10% | - Hive architecture and components - Hive data storage and query execution - Hive data model and SQL |
Huawei HCIA-Big Data V3.0 Sample Questions:
Which of the following options describes the Compaction correctly?
- A. MinortriggerfrequencyrelativelyMajor is higher
- B. There are Minor and Major both
- C. Compatior by eliminating expirationnumberAccording to the file reduce HFiledocument
- D. Compation Reduce HFi1e files by merging filesnumber
Correct Answer: B 🗳️
In Fusioninsight HD, which of the following is not a flow control feature of Hive
- A. Supports threshold control for the number of connections established by each user
- B. Supports threshold control of the number of connections established per unit time
- C. Supports threshold control on the number of connections established by a specific user
- D. Supports threshold control for the total number of established connections
Correct Answer: A,B,D 🗳️
KerbarasAs a certification service center,were ableSecondary development applications to all services in the cluster and customerscarryforsystemA certification service.
- A. FALSE
- B. TRUE
Correct Answer: B 🗳️
Explanation: Only visible for VCEDumps members. You can sign-up / login (it's free).
Regarding Flume, which of the following statements is false?
- A. There is a need for encryption inside processes such as Source to Channel to Sink
- B. Flume supports multi-cascading and multiplexing
- C. Data transfer between Flume cascade nodes does not support compression
- D. Data transfer between Flume cascade nodes supports encryption
Correct Answer: A,C 🗳️
HMaster needs to be connected when using HBase for data reading service in Fusioninsight HD
- A. False
- B. True
Correct Answer: A 🗳️
