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Huawei H13-711_V3.0-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| 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 |
| Flume Log Collection | 7% | - Flume architecture and components - Data collection workflow |
| Loader Data Conversion | 5% | - Data import/export process - Loader functions and use cases |
| Elasticsearch Search Engine | 5% | - Full-text search and analysis - Architecture and indexing mechanism |
| Huawei Big Data Solution | 4% | - FusionInsight HD/MRS overview - Platform functions and industry cases |
| HDFS & ZooKeeper | 12% | - ZooKeeper architecture and coordination mechanism - HDFS architecture and principles - HDFS data storage and fault tolerance |
| Big Data Development Trend & Kunpeng Big Data Solution | 3% | - Huawei Kunpeng big data overview - Characteristics of big data - Big Data industry development trends |
| Hive Distributed Data Warehouse | 10% | - Hive data model and SQL - Hive data storage and query execution - Hive architecture and components |
| Spark Distributed Computing Framework | 12% | - Spark architecture and RDD concept - Spark task scheduling and optimization - Spark SQL and Spark Streaming |
| Flink Stream Processing Framework | 8% | - Stream processing scenarios - Flink architecture and data flow model - Event time and window mechanism |
| Kafka Messaging System | 9% | - Message production and consumption - Kafka architecture and core concepts |
| HBase Distributed Database | 10% | - HBase architecture and data model - HBase read/write process - HBase table design and application scenarios |
| LDAP & Kerberos Security | 5% | - Kerberos authentication process - Unified authentication principles |
Huawei HCIA-Big Data V3.0 Sample Questions:
In the Fusioninsight product, which statement is correct about the Kafka component?
- A. When creating a topic, the number of replicas must not be greater than the number of currently surviving Broker instances, otherwise the topic creation will fail
- B. After Kafka is installed, the sensitive data storage directory cannot be configured.
- C. When the Producer of Kafkal sends a message, it can specify which Consumer consumes the message
- D. Kafka will store metadata information in Zookeeper for
What are the performance bottlenecks of traditional data processing?
- A. Limited scalability
- B. Insufficient streaming data processing performance
- C. Batch data processing is missing
- D. High cost of data storage
When the Loader of Fusioninsight HD creates a job, what is the function of the connector?
- A. Configure how jobs connect to internal data sources
- B. Configure how jobs connect to external data sources
- C. Provide optimization parameters to provide data import and export performance
- D. Determine what conversion steps are in place
In the numberaccording toDuring stream processing, eachthingThe time can be divided into which of the following three?
- A. ingostion time, that isevent arrival stream processing systemtime
- B. went time, that istime of event
- C. procmming time,Right nowthingquiltsystemprocessing time
- D. dalay time,That is, the extension time from the occurrence of the event to the processing
Kafka is a distributed message publishing and subscription system. It only forwards messages and does not save messages.
- A. True
- B. False
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