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Huawei H13-711_V3.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Huawei Big Data Solution | 4% | - Platform functions and industry cases - FusionInsight HD/MRS overview |
| 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: MapReduce & YARN | 12% | - YARN architecture and resource scheduling - Task execution and resource management - MapReduce programming model and workflow |
| Topic 4: Flume Log Collection | 7% | - Data collection workflow - Flume architecture and components |
| Topic 5: Flink Stream Processing Framework | 8% | - Flink architecture and data flow model - Stream processing scenarios - Event time and window mechanism |
| Topic 6: Hive Distributed Data Warehouse | 10% | - Hive data storage and query execution - Hive data model and SQL - Hive architecture and components |
| Topic 7: Loader Data Conversion | 5% | - Loader functions and use cases - Data import/export process |
| Topic 8: HDFS & ZooKeeper | 12% | - HDFS data storage and fault tolerance - ZooKeeper architecture and coordination mechanism - HDFS architecture and principles |
| Topic 9: Redis In-Memory Database | 5% | - High availability and application scenarios - Data types and storage structure |
| Topic 10: HBase Distributed Database | 10% | - HBase architecture and data model - HBase read/write process - HBase table design and application scenarios |
| Topic 11: Kafka Messaging System | 9% | - Message production and consumption - Kafka architecture and core concepts |
| Topic 12: LDAP & Kerberos Security | 5% | - Unified authentication principles - Kerberos authentication process |
| Topic 13: Spark Distributed Computing Framework | 12% | - Spark SQL and Spark Streaming - Spark architecture and RDD concept - Spark task scheduling and optimization |
| Topic 14: Elasticsearch Search Engine | 5% | - Architecture and indexing mechanism - Full-text search and analysis |
Huawei HCIA-Big Data V3.0 Sample Questions:
Question 1
Regarding the ControllerNodeAgent in FusionlnsightManager, which statement is correct?
A. NodeAgent is open source enhanced
B. NodeAgent accepts commands from Controller and executes specific actions
C. Controller must be deployed on each node
D. COntroller sends heartbeat to NodeAgent every 3 seconds
Question 2
A website learning activity. Ask to count the number of user visits per minute to this network. To achieve this requirement, which of the following options is the most appropriate?
A. Spart
B. Stare
C. MapReeuca
D. ? ?
Question 3
Which parameter needs to be configured to enable the log aggregation function of the YARN component in the Hadoop platform?
A. YARN.acl.enable
B. YARN.nodemanager.log-dirs
C. YARN.nodemanager.local-dir
D. YARN.log-aggregation-enable
Question 4
In the Hadoop system, if the backup factor of the HDFS file system is 3, then each time MapReduce runs a task, it must transfer the file segments to be processed from 3 machines with replicas.
A. False
B. True
Question 5
Assume that the minimum resource guarantee for each user is set to YARN. scheduler. capacity. root. Queue A.
minimum-User-limit-percent=25, then the above statement is wrong
A. When the 3rd user submits the task, each user gets up to 33.33% of the resources
B. When the 5th user submits a task, each user gets up to 20% of the resources
C. When the 4th user submits a task, each user gets up to 25% of the resources
D. When the 2nd user submits a task, each user gets up to 50% of the resources
Solutions:
| Question 1 Answer: B | Question 2 Answer: D | Question 3 Answer: D | Question 4 Answer: A | Question 5 Answer: B |
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