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Huawei H13-711_V3.0 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 |
| HBase Distributed Database | 10% | - HBase read/write process - HBase architecture and data model - HBase table design and application scenarios |
| Kafka Messaging System | 9% | - Message production and consumption - Kafka architecture and core concepts |
| HDFS & ZooKeeper | 12% | - HDFS architecture and principles - HDFS data storage and fault tolerance - ZooKeeper architecture and coordination mechanism |
| Hive Distributed Data Warehouse | 10% | - Hive data model and SQL - Hive data storage and query execution - Hive architecture and components |
| LDAP & Kerberos Security | 5% | - Kerberos authentication process - Unified authentication principles |
| MapReduce & YARN | 12% | - Task execution and resource management - YARN architecture and resource scheduling - MapReduce programming model and workflow |
| Redis In-Memory Database | 5% | - Data types and storage structure - High availability and application scenarios |
| Flink Stream Processing Framework | 8% | - Flink architecture and data flow model - Event time and window mechanism - Stream processing scenarios |
| Flume Log Collection | 7% | - Data collection workflow - Flume architecture and components |
| Huawei Big Data Solution | 4% | - FusionInsight HD/MRS overview - Platform functions and industry cases |
| Elasticsearch Search Engine | 5% | - Architecture and indexing mechanism - Full-text search and analysis |
| Big Data Development Trend & Kunpeng Big Data Solution | 3% | - Huawei Kunpeng big data overview - Characteristics of big data - Big Data industry development trends |
| Loader Data Conversion | 5% | - Data import/export process - Loader functions and use cases |
Huawei HCIA-Big Data V3.0 Sample Questions:
1. Which of the following options is correct about the meaning of Zookeeper reliability?
A) Reliability means that the update can only succeed or fail, and there is no intermediate state
B) Reliability is achieved through active and standby deployment
C) Reliability means that no matter which server displays the same view to the outside world
D) Reliability means that a message is received by one server, and it will be accepted by all servers
2. Which of the following descriptions about the features of Zookeeper is wrong?
A) A message is to be received by more than half-respected servers,he will be able to successfully write to disk
B) Updates sent by the client are applied in the order in which they were sent
C) A message update can only succeed or fail. There is no intermediate state
D) The number of Zookeeper nodes must be odd
3. A user needs to build a FusionInsightHD cluster with 350 nodes. Which planning solution is the best?
A) Integrated deployment of management nodes and control nodes, independent deployment of data nodes, and Layer 2 networking
B) The management node and data node are deployed together, the control node is independently deployed, and the two-layer networking
C) Management node, control node, and data node are deployed in one, layer-2 networking
D) Management nodes, control nodes, and data nodes are independently deployed, with three-layer networking
4. Which of the descriptions of the Loader job in FusionlnsightHD is correct?
A) After the Loadet job fails to execute, garbage data will be generated, which needs to be cleared manually by the user
B) After the Loader submits the job to YARN for execution, if the Loade phase is abnormal at this time, the job fails to execute.
C) After the Loader submits a job to YARN for execution, other jobs cannot be submitted until the job is executed.
D) The Loader submits the job to the small YARN for execution. If a Mapper task fails to execute, it can automatically retry
5. Hive is a data warehouse infrastructure built on Hadoop. It provides a set of tools that can be used to perform extract-transform-load (ETL), a mechanism for storing, querying, and analyzing large-scale data stored in Hadoop.
A) True
B) False
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: D | Question # 3 Answer: D | Question # 4 Answer: D | Question # 5 Answer: A |
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