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Huawei H13-711_V3.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Hive Distributed Data Warehouse | 10% | - Hive architecture and components - Hive data model and SQL - Hive data storage and query execution |
| Flume Log Collection | 7% | - Data collection workflow - Flume architecture and components |
| Flink Stream Processing Framework | 8% | - Event time and window mechanism - Flink architecture and data flow model - Stream processing scenarios |
| Kafka Messaging System | 9% | - Message production and consumption - Kafka architecture and core concepts |
| Elasticsearch Search Engine | 5% | - Full-text search and analysis - Architecture and indexing mechanism |
| Redis In-Memory Database | 5% | - Data types and storage structure - High availability and application scenarios |
| LDAP & Kerberos Security | 5% | - Kerberos authentication process - Unified authentication principles |
| HBase Distributed Database | 10% | - HBase architecture and data model - HBase read/write process - HBase table design and application scenarios |
| Loader Data Conversion | 5% | - Loader functions and use cases - Data import/export process |
| Huawei Big Data Solution | 4% | - Platform functions and industry cases - FusionInsight HD/MRS overview |
| Big Data Development Trend & Kunpeng Big Data Solution | 3% | - Huawei Kunpeng big data overview - Big Data industry development trends - Characteristics of big data |
| MapReduce & YARN | 12% | - MapReduce programming model and workflow - Task execution and resource management - YARN architecture and resource scheduling |
| Spark Distributed Computing Framework | 12% | - Spark SQL and Spark Streaming - Spark task scheduling and optimization - Spark architecture and RDD concept |
| HDFS & ZooKeeper | 12% | - ZooKeeper architecture and coordination mechanism - HDFS architecture and principles - HDFS data storage and fault tolerance |
Huawei HCIA-Big Data V3.0 Sample Questions:
Question 1
In the Fusionlnisght HD system, the number of Partitions and the number of replicas must be set when creating the Topich of Kafkal. Setting up multiple replicas can enhance the disaster tolerance of the Kafka service.
A. False
B. True
Question 2
As shown in the figure, which of the following options are wide dependencies
A. join B&F->G
B. map:C->D
C. group by A->B
D. union D&E->F
Question 3
Which of the following options for providing multiple Redis1 optimizations is wrong?
A. Condensed key names and key values
B. Close Transparent Huge Pages
C. Modify the linuxl kernel memory allocation strategy or execute sysctl
D. Modify the minimum number of tcp connections in linux
Question 4
Which of the following windows can F1ink perform statistics on?
A. session window
B. time window
C. Cout window
D. sliding window
Question 5
. The open source big data platform based on Hadoop mainly provides distributed computing and storage capabilities for dat a. Which of the following are distributed storage components?
A. Spark
B. MR
C. HBase
D. HDFS
Solutions:
| Question 1 Answer: B | Question 2 Answer: A,C | Question 3 Answer: D | Question 4 Answer: A,B,C,D | Question 5 Answer: C,D |
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Moore 
Constance 
Vera 
Kyle 
Lillian 
Jay 
Leonard 
Clement 
Kent 
Joshua 
Virgil 
Jodie 
Penelope 
Bess 
Clarence 
