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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Hadoop Ecosystem & Distributed Storage | 25% | - YARN resource management - ZooKeeper principle and functions - HDFS architecture and operation - MapReduce computing framework |
| Topic 2: Distributed Computing & Streaming | 20% | - Data integration tools: Flume, Kafka - Flink basic concepts and stream processing - Spark core, Spark SQL and Spark Streaming |
| Topic 3: Huawei FusionInsight/MRS Platform | 12% | - Basic operation and management of MRS - Typical deployment scenarios - Architecture and components of FusionInsight HD |
| Topic 4: Big Data Security & Maintenance | 8% | - Monitoring and basic troubleshooting - Permission control and authentication - Data backup and fault recovery |
| Topic 5: Data Warehouse & NoSQL | 20% | - HBase data model and operations - Comparison of storage engines - Hive architecture and SQL usage |
| Topic 6: Big Data Fundamentals | 15% | - Concepts and characteristics of big data - Development trends and application scenarios - Challenges and architecture of big data systems |
Fusioninsight HD system deployment elbow, if the Solr index is stored on HDFS by default, do you understand the following correctly?
Correct Answer: A 🗳️
What is the default block size of HDFS in Fusionlnsight HD system?
Correct Answer: D 🗳️
When the Flume process is cascaded, which of the following sink types are used to receive the data sent by the previous hop Flume?
Correct Answer: A,D 🗳️
Spark's Executor can run multiple tasks.
Correct Answer: B 🗳️
What methods or interfaces does 86Loader provide for job management? (Multiple choices)
Correct Answer: A,B,C,D 🗳️
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