Free H13-711_V3.0 Exam Braindumps
HCIA-Big Data V3.0 Questions 251–255 (page: 52)

Updated On: 10-Feb-2026

Which of the following statements about the interaction between F1ink and other components is correct?

  1. The implementation of Flink's checkpoint relies on Zookeeper
  2. Flink can send received components to Kafka
  3. The running of Flink tasks relies on YARN for resource scheduling and management
  4. Flink reads and writes data in HDFS file system

Answer(s): A,B,C,D



In the FusionlnsightHD product, which statement about the Kafka component is correct?

  1. When deleting TopicE, make sure that Kafkal's service configuration delete.topiC. enable is set to true
  2. Kafka installation and operation log storage path is /srv/Bigdata/kafka
  3. Unavailable ZooKeeper service will cause Kafka service to become unavailable
  4. Topic must be created using the admin user or the Kafka admin group user

Answer(s): A,C,D



The high reliability of Fusioninsight HD data is reflected in which of the following aspects?

  1. Disaster recovery across data centers
  2. Power-down protection for critical data
  3. Disk hot swap
  4. Third-party backup system integration

Answer(s): A,B,C,D



Which of the following are the functions that Spark can provide?

  1. Distributed memory computing engine
  2. Distributed file system
  3. Unified scheduling of cluster resources
  4. Stream processing capabilities

Answer(s): A,D



Which of the following statements about CarbonData in Fusioninsight is correct?

  1. cArbon is also a high-performance analytics engine that integrates data sources with spark.
  2. cArbon uses a combination of lightweight compression and heavyweight compression to compress data, which can reduce data storage space by 60%-80% and greatly save hardware storage costs.
  3. arbon is a new Apache Hadoop native file format that uses advanced columnar storage, indexing, compression, and encoding techniques to improve computational efficiency to help accelerate data queries over petabytes of magnitude, and can be used for faster interactive queries.
  4. The purpose of using carbon is to provide ultra-fast responses to ad-hoc queries on big data.

Answer(s): A,B,C,D



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