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| Section | Weight | Objectives |
|---|---|---|
| Flink - Stream Processing Framework | 10% | - Flink application development - Flink architecture and stream processing model |
| HBase - Distributed NoSQL Database | 10% | - HBase architecture and data storage - HBase operation and application |
| Data Integration and Security | 9% | - LDAP and Kerberos security authentication - Loader data migration tool |
| Hive - Distributed Data Warehouse | 10% | - Hive architecture and data model - Hive SQL and data operation |
| HDFS and ZooKeeper | 12% | - ZooKeeper principles and application scenarios - HDFS architecture and working mechanism |
| Data Collection: Flume and Kafka | 12% | - Flume data collection mechanism - Kafka message system principle and application |
| MapReduce and YARN | 12% | - YARN resource management and scheduling - MapReduce programming model and execution process |
| Spark - Distributed Computing Framework | 10% | - Spark core concepts and architecture - Spark RDD and DataFrame |
| Big Data Development Trend and Kunpeng Big Data Solution | 3% | - Big data industry development and characteristics - Kunpeng big data solution overview |
Flink is suitable for applications with high concurrency processing data and millisecond-level latency.
Correct Answer: B 🗳️
With the continuous increase of the volume of big data, the requirements for the physical security of data storage are getting higher and higher, and the requirements for multiple copies of data and disaster recovery mechanisms are also raised.
Correct Answer: B 🗳️
What interfaces does Fusioninsight Manager support when connecting with external platforms? (Multiple choice)
Correct Answer: A,B 🗳️
Assuming that the amount of data is about 200GB, and the maximum capacity of shards is limited to 30GB, what is the maximum number of shards that should be designed?
Correct Answer: A 🗳️
The emergence of HFS solves the need to store a large number of small files (below 10MB) in HDFS. At the same time, it is also necessary to store some mixed scenes with large files (10MB or more)
Correct Answer: B 🗳️
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