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Huawei H13-711_V3.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Huawei Big Data Platform & Solutions | 7% | - Typical big data solutions and use cases - FusionInsight/MRS architecture and components |
| Topic 2: Big Data Industry Overview & Basic Concepts | 10% | - Big data application scenarios and challenges - Huawei Kunpeng big data ecosystem - Development trends and characteristics of big data |
| Topic 3: Data Warehouse & Query Engine | 18% | - Hive architecture, metastore, partitioning and bucketing - Hive execution engines: MapReduce, Tez, Spark - File formats: ORC, Parquet, SequenceFile |
| Topic 4: Security & Other Components | 8% | - LDAP and Kerberos authentication mechanism - Elasticsearch and Redis overview |
| Topic 5: Distributed Computing Framework | 22% | - Flink stream processing fundamentals - Spark core concepts, RDD, DataFrame and Spark SQL - MapReduce programming model and workflow - YARN architecture, resource scheduling and management |
| Topic 6: Data Integration & Streaming | 15% | - Loader data migration and synchronization - Flume log collection architecture and configuration - Kafka message queue principles and usage |
| Topic 7: Distributed Storage & Coordination | 20% | - ZooKeeper functions, architecture and application - HDFS architecture, principles and operations - HBase architecture, data model and row-key design |
Huawei HCIA-Big Data V3.0 Sample Questions:
1. Is the description of the role of the standby NameNode correct in the HDFS system?
A) Standby NameNode) has no memory requirements
B) The standby NameNode should be deployed to the same node as the primary NameNode
C) Help the main NameNodet merge edit logs and reduce the startup time of the main NameNodel
D) Hot Standby for Primary NameNodel
2. The following statements about Kafka Partitioni are correct
A) Each Partition is an ordered and immutable message queue
B) Each Partition corresponds to a log file at the storage level
C) The number of Partitions determines the maximum number of concurrent consumers in each consumer group
D) The introduction of the Partition mechanism ensures the high throughput of Kafkal
3. 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
4. Which of the following types of data is not semi-structured data?
A) two-dimensional table
B) JSON
C) HTML
D) XML
5. What steps are included in the preparation for Fusioninsight HD installation?
A) Prepare tools and software. Such as Putty, LLD, Fusioninsight HD software installation package, etC.
B) Complete the hardware installation
C) Prepare planning data. such as network parameters and role deployment locations
D) Complete the node host OS installation
Solutions:
| Question # 1 Answer: C,D | Question # 2 Answer: A,B,C,D | Question # 3 Answer: B | Question # 4 Answer: A | Question # 5 Answer: A,B,C,D |
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