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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Big Data Real-time Stream Computing Scenario-based Solution | 30% | - Kafka architecture, transactions and configuration - Apache Flink: event time, watermark, windowing and state management - Flink SQL and complex event processing - Spark Structured Streaming fundamentals |
| Topic 2: Big Data Real-time Retrieval Scenario-based Solution | 30% | - CarbonData and GaussDB(DWS) basics - Apache Phoenix and secondary indexes - Elasticsearch indexing, query and cluster management - HBase architecture, row-key design and optimization |
| Topic 3: Big Data Application Development Overall Guide | 15% | - Mainstream big data technologies and ecosystem - Application development process and specifications - Scenario-based solution design overview - FusionInsight HD architecture and components |
| Topic 4: Big Data Offline Batch Processing Scenario-based Solution | 25% | - Data ingestion tools: Loader, Sqoop, Flume - HDFS and YARN principles and configuration - Spark Core, Spark SQL and Catalyst optimization - Hive development, optimization and ACID transactions |
existSpark, which of the following statements about broadcast variables is correct?
Correct Answer: A,B,D 🗳️
aboutRedisFeatures, the following description is correct?
Correct Answer: A,B,D 🗳️
FusionInsight HDofHiveIn the application, there are the following scenarios:? ? ?Storage files have higher?
?efficiency, and most
Minute? ?Only a part of the letter is involved in the file, this scenario is suitable for using a column file (ORC F??)storage.
Correct Answer: A 🗳️
An application requires simultaneous and twoFusionInsightCluster interaction: both need to access the cluster1ofHBase Serve,Xneed to cut county2ofHiveservice, then which of the following operations is necessary? multiple choice)
Correct Answer: C,D 🗳️
existFusionInsight HDmiddle,SparkBy defaultYARNAs a cluster resource management system.
Correct Answer: A 🗳️
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