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Last Updated: Aug 31, 2025
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1. There are scenarios where 500G of new data is generated by the online system every day, and these data need to be statistically summarized in dimensions such as days, weeks, and months.
Which table is suitable for Hive processing?
A) Partition + bucket table, partitioned by time, 2560 buckets per partition
B) Partition table, partition by day
C) Bucket table, according to talent
D) Tilt table, select the date in the tilt field, and the tilt value is random
2. In the online log query solution, stream processing is used to complete the calculation. During the entire calculation process, intermediate calculation results need to be temporarily stored. Which of the following components is suitable for storing intermediate calculation results? (multiple choice)
A) HBase
B) HDfS
C) Kafka
D) Redis
3. In Spark, assuming that lines is a DStream object, the filter statement can filter out 80% of the data. Which statement is correct for the following two statements:
X: lines.filter(...).groupByKey(...)
Y: lines.groupByKey(...).filter(...)
A) X has lower performance than Y
B) X has higher performance than Y
C) It is impossible to determine the performance difference between X and Y
D) X and Y have the same performance
4. In the Hive application of FusionInsight HD, there are scenarios where the data storage file has a high compression efficiency, and most queries only involve a part of the file field. This scenario is suitable for ORC File storage.
A) False
B) True
5. When indexing in Solr, which of the following code snippets can significantly improve indexing performance? (multiple choice)
A) if (updateRequest.getDocuments().size() >= 1000) { cloudSolrClient.request (updateRequest, collName); updateRequest.clear(); }
B) if (updateRequest.getDocumentsMap().size() >= 10000) { cloudSolrClient.request (updateRequest, collName); updateRequest.clear(); }
C) SolrlnputDocument doc = new SolrlnputDocument(); doc.addField ("id", i.toString()); doc.addField ("name", "Zhang San" + i); doc.addField ("features", "test" + ); doc.addField ("price", (float) i * 1.01); cloudSolrClient.add (doc); cloudSolrClient.commit();
D) lbClient.setRequestWriter (new BinaryRequestWriter());
Solutions:
Question # 1 Answer: B | Question # 2 Answer: C,D | Question # 3 Answer: B | Question # 4 Answer: B | Question # 5 Answer: B,D |
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