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Huawei HCIP-Big Data Developer Sample Questions:

1. When indexing in Solr, which of the following code snippets can significantly improve indexing performance? (multiple choice)

A) 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();
B) lbClient.setRequestWriter (new BinaryRequestWriter());
C) if (updateRequest.getDocuments().size() >= 1000) { cloudSolrClient.request (updateRequest, collName); updateRequest.clear(); }
D) if (updateRequest.getDocumentsMap().size() >= 10000) { cloudSolrClient.request (updateRequest, collName); updateRequest.clear(); }

2. Which of the following is correct about the HDFS client's file reading process? (multiple choice)

A) The file data is first returned from the DataNode to the NameNode, and then sent from the NameNode to the client.
B) Support multiple clients to read the same file data from the DataNode at the same time.
C) Download data from the nearest DataNode first.
D) If the client and the connected DataNode fail during reading, the client will abandon the failed node and connect to the node where the other replica is located.

3. In the HBase table design, for multiple businesses sharing the rowkey, which leads to data access contradictions, what strategies can be used to deal with it?

A) Redundancy method (use space for time plant efficiency)
B) Pre-division region
C) Create a secondary index
D) Compromise method (rowkey design takes into account the business needs of A and B)

4. In FusionInsight HD, where can I view the running results of the MapReduce application?

A) Solr web interface
B) Yarn web interface
C) Loader web interface
D) FusionInsight Manager web interface

5. In FusionInsight HD, which of the following parameters of the Hive client are used to control reduce concurrency? (multiple choice)

A) hive.exec.max.dynamic.partitions.pernode
B) hive.exec.max.dynamic.partitions
C) hive.exec-ducers.max
D) hive.exec.reducers.bytes.per.reducer

Solutions: