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Huawei HCIA-Big Data V3.5 Sample Questions:

1. server.channels.ch1.transactioncapacity indicates the transaction size, that is, the number of events that the current channel supports transaction processing, which can be set to the same size as the batch size of the source, but cannot be smaller than the batch size.

A) False
B) True

2. What is the purpose of the HBase cluster regularly executing Compaction? (Multiple choice)

A) Reduce the number of files under the same ColumnFamily in the same Region
B) Improve data writing ability
C) Reduce the number of files in the same Region
D) Improve data reading performance

3. Which of the following descriptions about the characteristics of Zookeeper is wrong?

A) Updates sent by the client are applied in the order they were sent
B) Message updates can only succeed or fail, there is no intermediate state
C) The number of Zookeeper nodes must be an odd number
D) If a message is received by more than half of the servers, it will be successfully written to the disk

4. Regarding the warning of insufficient Kafka disk capacity, which of the following analysis is wrong for the possible reasons?

A) The disk configuration used to store Kafka data (such as the number and size of disks, etc.) cannot meet the current business data flow declaration, causing the disk usage to reach the upper limit
B) Broker node failure causes
C) Unreasonable business planning, resulting in uneven data distribution, causing some disks to reach the upper limit of usage
D) The data storage time is configured too long, and the data accumulation reaches the upper limit of disk usage

5. Which of the following statements about CarbonData in Fusioninsight is correct? (Multiple choice)

A) Carbon is also a high-performance analysis engine that integrates data sources with spark.
B) The purpose of using carbon is to provide ultra-fast response to big data ad hoc queries.
C) Carbon uses a combination of lightweight compression and heavyweight compression to compress data, which can reduce data storage space by 60%-80%, greatly saving hardware storage costs.
D) carbon is a new Apache Hadoop native file format that uses advanced columnar storage, indexing, compression, and encoding technologies to improve computing efficiency, helping to accelerate data queries exceeding the order of magnitude of PB, and can be used for faster interactions Inquire.

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