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Huawei H13-711_V3.0 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Data Analysis and Applications | - Basic analytics and querying methods - Data ingestion and processing workflows |
| Big Data Processing Frameworks | - Spark fundamentals - Hive data warehouse - HBase distributed database |
| Big Data Fundamentals | - Big data architecture overview - Concepts of Big Data and data lifecycle |
| Hadoop Ecosystem | - HDFS architecture and principles - MapReduce and YARN basics |
| Big Data Operations and Management | - Monitoring and maintenance concepts - Cluster deployment basics |
Huawei HCIA-Big Data V3.0 Sample Questions:
F1ink in( )interface for streaming data processing,( )interface for batch processing?
- A. Data batch API.DataStream API
- B. Datastream API, DataSet API
- C. Batch API, Stream API
- D. Stream API.Batch API
The following are typical application scenarios of DWS
- A. data mart
- B. CRM/ERP
- C. Enterprise Data Warehouse
- D. Trading System
The MOB data in HBaser is directly stored in the HFile format on HDFS. Then, the address information and size M information of this file are stored as value in the store that manages HBase. These files are centrally managed through tools. This can greatly reduce the frequency of compation and split of HBase and improve performance.
- A. False
- B. True
In order to improve the fault tolerance of Kafka, Kafka supports the replication strategy of partition. Which of the following descriptions about Leader partition and Follower partition is wrong?
- A. Kafka needs to select a leader for partition replication, and the leader is responsible for reading and writing partitionsD. operation, other replica nodes are only responsible for data synchronization
- B. It is impossible for each node of a kafka cluster to be l with each othereader and flower
- C. Because the leader server carries all the request pressure. Therefore, from the overall consideration of the cluster, kafka will distribute the leader evenly on each instance to ensure the overall performance is stable
- D. If the leader fails, other followers will take over (become the new leader)
About Spark SQL&Hive difference and connection, which of the following statements is correct?
- A. Spark SQL is compatible with most Hive syntax and functions
- B. Spark SQL relies on Hive metadata
- C. The execution engine of Spark SQL is Spark core, HiveThe default execution engine is MapReduce
- D. Spark SQL cannot use Hive's custom functions
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