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Huawei H13-711_V3.0-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Spark Distributed Computing Framework | 12% | - Spark SQL and Spark Streaming - Spark architecture and RDD concept - Spark task scheduling and optimization |
| Huawei Big Data Solution | 4% | - Platform functions and industry cases - FusionInsight HD/MRS overview |
| LDAP & Kerberos Security | 5% | - Kerberos authentication process - Unified authentication principles |
| Flink Stream Processing Framework | 8% | - Event time and window mechanism - Flink architecture and data flow model - Stream processing scenarios |
| HBase Distributed Database | 10% | - HBase architecture and data model - HBase read/write process - HBase table design and application 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 |
| HDFS & ZooKeeper | 12% | - HDFS data storage and fault tolerance - HDFS architecture and principles - ZooKeeper architecture and coordination mechanism |
| Hive Distributed Data Warehouse | 10% | - Hive architecture and components - Hive data model and SQL - Hive data storage and query execution |
| Flume Log Collection | 7% | - Flume architecture and components - Data collection workflow |
| Loader Data Conversion | 5% | - Data import/export process - Loader functions and use cases |
| MapReduce & YARN | 12% | - YARN architecture and resource scheduling - Task execution and resource management - MapReduce programming model and workflow |
| Redis In-Memory Database | 5% | - High availability and application scenarios - Data types and storage structure |
| Big Data Development Trend & Kunpeng Big Data Solution | 3% | - Big Data industry development trends - Characteristics of big data - Huawei Kunpeng big data overview |
Huawei HCIA-Big Data V3.0 Sample Questions:
Question 1
kafka is a high-throughput, distributed, publish-subscribe-based messaging system. Using kafka technology, a large-scale messaging system can be built on cheap PC Server_.
A. False
B. True
Question 2
In a Fusioninsight HD V100R002C60 cluster, which of the following components need to be partitioned for metadata?
A. Zookeeper
B. HBase-F Kafka
C. Streaming
D. Redis
E. HDFS
Question 3
How many shards does an index library of ElasticSearchl have by default?
A. 5
B. 3
C. 6
D. 4
Question 4
Which module in Hadoop is responsible for data storage in HDFS?
A. Data Node
B. ZooKeeper
C. NameNode
D. JobTaoker
Question 5
Regarding the alarm about insufficient disk capacity of Kafkat, which of the following analysis is incorrect for the possible reasons?
A. The data storage time is configured too long, and the accumulated data reaches the upper limit of the disk usage.
B. Unreasonable business planning results in uneven data distribution and makes some disks reach the upper limit of usage
C. The disk configuration used to store Kafka data (such as the number of disks, size, etC. ) cannot meet the current business data stream declaration, resulting in the disk usage reaching the upper limit
D. Caused by the failure of the rocker node
Solutions:
| Question 1 Answer: B | Question 2 Answer: A,C,E | Question 3 Answer: A | Question 4 Answer: A | Question 5 Answer: D |
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